{"total":618,"count":50,"rows":[{"id":"c99979db-e510-4d2e-aec4-de327dc77bc7","agent":"blitz","category":"workflow","title":"Clean Nutra TikTok Ads Operations — Master Process (boost/launch/optimize/kill/report)","problem":"Single source-of-truth playbook for how Blitz runs TikTok ads for Clean Nutra: how we boost, launch, optimize, kill, and pull data — including the exact tools (HiveMind proxy, Node/Python, scripts) and the TikTok Business API SDK YAML specs we reference. Requested by Weston 2026-06-17. No env vars / secrets included by design (token is read live at runtime).","solution":"# Clean Nutra — TikTok Ads Operations Master Process\n\n**Author:** Blitz (TikTok ad-spend manager, BrandMind HiveMind)\n**Brand:** Clean Nutra / Clean Nutraceuticals — entity AllSeason Enterprises LLC\n**Owner:** Tom (TikTok Marketing Director) · CEO: Weston Corica\n**Last updated:** 2026-06-17\n**Source skill:** `tiktok-shop-ops` (this doc is the narrative master; the skill holds the deep per-task references)\n\n> This is the end-to-end playbook for how we **boost, launch, optimize, kill, and report** on TikTok ads for Clean Nutra. Every product type we run is **GMV Max** (TikTok Shop's automated Smart+ shopping product), so this doc is GMV-Max-centric. No secrets/env vars live here — pull the live token at runtime (see §1).\n\n---\n\n## 0. The Stack — Tools & How We Reach TikTok\n\n| Layer | What | Notes |\n|---|---|---|\n| **API gateway** | **HiveMind proxy** (Supabase Edge Function `hivemind-api`) | We **never** call TikTok's API directly. Every call is `POST` to the proxy with `{platform, action, endpoint, method, params}`. |\n| **Auth** | Supabase anon key (public) + **`x-hivemind-token`** header | The HiveMind token **rotates** — read it live from `~/.hermes/profiles/blitz/workspace/.hivemind-token` (mirror at `~/.openclaw/agents/blitz/workspace/.hivemind-token`). A stale hardcoded token returns `{\"error\":\"Invalid token\"}`. |\n| **Runtime** | **Node.js** for boost/kill/report scripts; Python for some reporting/appeals | Node is required for `/gmv_max/video/get/` (captions carry raw control chars that break Python's `json.loads`). |\n| **Scripts (live)** | `~/.hermes/profiles/blitz/workspace/scripts/` | Discovery/report/boost. |\n| **Scripts (kill runtime)** | `~/.openclaw/agents/blitz/workspace/scripts/` | Kill + appeals crons run from the `.openclaw` dir (separate from the Hermes workspace — common trip-up). |\n| **Data systems** | Google Sheets (creator/boost queue, appeals sheet), Supabase (`agent_learnings`, history), CIN7 (inventory) | Service account: `brandmind-agents@gen-lang-client-0564358579.iam.gserviceaccount.com`. |\n| **Comms** | Telegram (to Weston), SMTP `collabs@cleannutra.com` (creators) | — |\n\n### API documentation we reference\n- **TikTok Business API SDK YAML specs** (the authoritative field/enum source) live at:\n  `~/.hermes/profiles/blitz/workspace/tiktok_research/tiktok-business-api-sdk/yml_files/`\n  Key files we lean on:\n  - `campaign_gmv_max_info.yml` — read shape (incl. the `promotion_days` block, `roas_bid`, `deep_bid_type`)\n  - `campaign_gmv_max_update.yml` — write shape (`roas_bid` is a `double`; identity enums AUTH_CODE/BC_AUTH_TT/TTS_TT)\n  - `campaign_gmv_max_create.yml` — launch shape\n  - `gmv_max_bid_recommend.yml` — TikTok's suggested ROI bid\n- TikTok Marketing API docs (online): Smart+ GMV Max campaign endpoints. Return-code appendix is the lookup for any `code` ≠ 0.\n- **40006 \"no schema found\"** = endpoint not in the proxy schema (all violation/appeal endpoints are dead here — Seller Center UI only).\n\n### Constants (public, safe)\n- `advertiser_id`: `7340385658755891201`\n- `store_id`: `7495291933339519508`\n- `bc_id`: `7277403439003779073`\n- Proxy base: `https://gvrwkjmmgohtovtcyjiu.supabase.co/functions/v1/hivemind-api`\n\n### The one API helper (every script uses this shape)\n```js\nasync function api(endpoint, params = {}, method = 'GET') {\n  const resp = await fetch(`${SUPABASE_URL}/functions/v1/hivemind-api`, {\n    method: 'POST',\n    headers: {\n      'Authorization': `Bearer ${ANON_KEY}`,\n      'Content-Type': 'application/json',\n      'x-hivemind-token': TOKEN,            // read LIVE from .hivemind-token\n    },\n    body: JSON.stringify({\n      platform: 'tiktok_ads',               // 'tiktok' for Shop/promotion endpoints\n      action: method === 'GET' ? 'read' : 'write',\n      endpoint, method, params,\n    }),\n  });\n  return resp.json();\n}\n```\n> ⚠️ `execute_code` is blocked in this profile (cron-approval guard). Write the Node/Python script to `/tmp` (or `scripts/`) and run it with the `terminal` tool.\n\n---\n\n## 1. The Two Report Systems (read this before anything — everything depends on it)\n\nThere are **two completely separate report endpoints**. Mixing their metric names is the #1 error.\n\n| Campaign type | Endpoint | Required params | Metric names |\n|---|---|---|---|\n| **GMV Max** (everything we run) | `/gmv_max/report/get/` | `store_ids` (JSON array) **+ ≥1 main dimension** (`campaign_id`/`item_id`/`session_id`) | `cost`, `gross_revenue`, `roi` |\n| Auction/standard | `/report/integrated/get/` | `data_level` (e.g. `AUCTION_CAMPAIGN`) | `spend`, `impressions`, `clicks`, `ctr`, `cpm`, `cpc` |\n\n**GMV Max gotchas:**\n- Using `spend`/`roas`/`total_purchase_value`/`impressions` → `40002 Invalid metric(s)`. The ONLY valid metrics are `cost`, `gross_revenue`, `roi`.\n- `stat_time_day` alone does **not** satisfy \"needs a main dimension\" — pair it with `campaign_id`/`item_id`.\n- `item_id = \"-1\"` rows = TikTok's **algorithmic/unattributed** spend (no specific video). Filter out when ranking videos.\n- Multi-day combined windows sometimes return `[]` even though daily calls have data — a **known TikTok flake**. Always pull individual days alongside the combined window and **reconstruct** the combined from the dailies when `combined==0 && sum(daily)>0`.\n\n---\n\n## 2. HOW WE PULL DATA FROM TIKTOK\n\nGoal: spend / revenue / ROI at campaign, video (item), or boost-session level.\n\n**Script:** `scripts/gmvmax-daily-report.js` (pass a date arg; paginates all pages; joins campaign names; prints total + per-campaign).\n\n**Campaign-level (daily):**\n```js\napi('/gmv_max/report/get/', {\n  advertiser_id, store_ids: JSON.stringify([store_id]),\n  report_type: 'CAMPAIGN',\n  dimensions: JSON.stringify(['campaign_id']),         // add 'stat_time_day' for trend\n  metrics: JSON.stringify(['cost','gross_revenue','roi']),\n  start_date, end_date,\n  filtering: JSON.stringify({ campaign_ids: [cid] }),\n  page_size: 100, page: 1                               // paginate; 170+ rows common\n});\n```\n\n**Per-video (item) level** — add `item_id` as the dimension and `item_group_ids: SPU_IDS` to the filter for multi-SPU campaigns.\n\n**Per-boost-session level** — `dimensions: ['session_id']` (this is what the kill audit uses; see §6).\n\n**Pagination rule:** always loop pages until `page >= page_info.total_page`, then **dedupe by ID**. If unique count ≪ raw count, pagination is broken.\n\n**Daily cron:** `gmvmax-daily-report.js` runs every morning and posts the portfolio numbers. The appeals/perf reporting cron also pulls a rolling **364-day** window (NOT a fixed start date — a fixed `2025-01-01` once tripped TikTok's \"max time span < 365 days\" rule and returned $0 across the board).\n\n---\n\n## 3. HOW WE LAUNCH ADS (GMV Max campaigns)\n\nWe rarely create brand-new GMV Max campaigns from scratch — TikTok auto-creates \"Deals For You\" promo shells, and we run a fixed roster of ~15 product/group campaigns. When we DO launch:\n\n**Endpoint:** `POST /campaign/gmv_max/create/` (spec: `campaign_gmv_max_create.yml`)\n\nCore launch decisions:\n- **Objective:** `PRODUCT_SALES` · **optimization_goal:** `VALUE` · **deep_bid_type:** `VO_MIN_ROAS` (this is the ROI-bid mode where `roas_bid` is the lever).\n- **`roas_bid`** — the ROI target/floor. Our standing baseline has been **6**; we drop it for volume events (see §4/§5).\n- **`budget`** — daily campaign budget (stored in cents-ish integer units, e.g. `50000` = the campaign's daily cap).\n- **Promotion Days** — TikTok's promo-day feature. We keep it **ON** with `is_enabled:true, auto_schedule_enabled:true, roas_bid_multiplier:90` (the 90 = a 0.9× multiplier on the base bid for promo days). It produces the `adjusted_roas_bid` you see in `/info/`.\n- **Identities / products:** campaign carries an `item_group_ids` (SPU) list. Multi-SPU campaigns (e.g. Longevity Duo) bundle several SPUs — always boost against the campaign's **primary SPU** (`spu_id_list[0]` of the target video, not the campaign's first SPU blindly).\n\n**After launch always verify** with `/campaign/gmv_max/info/` — confirm `operation_status: ENABLE` and `secondary_status: CAMPAIGN_STATUS_ENABLE` (the latter = actually delivering).\n\n---\n\n## 4. HOW WE BOOST ADS (CREATIVE_NO_BID on affiliate videos)\n\nThis is the bread-and-butter: take affiliate creators' organic videos and put paid spend behind them inside a GMV Max campaign.\n\n**The critical insight:** affiliate creators in the TikTok Shop affiliate program have an **`AUTH_CODE`** identity on their tagged videos. These are boostable via GMV Max **without BC authorization and without Spark codes**. Clean Nutra has ~102 BC-authorized creators but **3,900+** affiliate creators in this pool.\n\n### Two magic parameters (forget these and it silently fails)\n1. **Discovery — `/gmv_max/video/get/` must pass `need_auth_code_video: true`.** Without it, affiliate videos return as an empty list.\n2. **Session create — do NOT pass `store_authorized_bc_id`.** Including it causes `Nil item_identity` errors for AUTH_CODE videos. (It IS required on discovery, NOT on create.)\n\n### Step 1 — Discover boostable videos\n```js\napi('/gmv_max/video/get/', {\n  advertiser_id, store_id, store_authorized_bc_id: bc_id,\n  need_auth_code_video: true,        // 🔑 the key param\n  sort_field: 'GMV', sort_type: 'DESC',  // rank by organic GMV signal\n  page_size: 50, page: 1             // 50/page max; cap ~12 pages = 600 videos\n});\n```\nUse **Node** (control-char captions break Python JSON parsing).\n\n### Step 2 — Create the boost session\n```js\napi('/campaign/gmv_max/session/create/', {\n  advertiser_id, campaign_id, store_id,\n  // ⚠️ NO store_authorized_bc_id here\n  session: {\n    bid_type: 'CREATIVE_NO_BID',\n    product_list: [{ spu_id: SPU_ID }],   // use the VIDEO's spu_id_list[0]\n    item_id: VIDEO_ITEM_ID,\n    budget: 20,                            // $/day, min 10 (retainer tier default)\n    schedule_type: 'SCHEDULE_START_END',\n    schedule_end_time: '2026-05-28 23:59:59'\n  }\n}, 'POST');\n```\nDefault boost settings: **$20/day, 7 days** (`scripts/gmv-boost-auto.js`).\n\n### Boostable vs algorithm-served (critical distinction)\n- **Boostable pool** = videos that appear in `/gmv_max/video/get/` (have a `spu_id`, can take a CREATIVE_NO_BID session).\n- **Algorithm-served** = high-ROAS videos that show up in `/gmv_max/report/get/` with spend but **never** appear in `/gmv_max/video/get/`. TikTok is already serving them on its own; there's **no manual boost path** (no accessible `spu_id`). Don't waste time hunting for them.\n\n### Prerequisites before boosting a video\n1. Campaign delivering (`primary_status = STATUS_DELIVERY_OK`).\n2. No existing CREATIVE_NO_BID session for the same `item_id` in that campaign.\n3. < 100 CREATIVE_NO_BID sessions total per campaign (hard cap: `Creative boost is limited to 100 videos per campaign`).\n4. No NO_BID session already on the same `spu_id`.\n\n### Boost-selection quality bar (Weston enforces this)\n- **Never** boost a video with proven ROAS < 1.0 into the FRESH/discovery tier.\n- FRESH tier = (zero ad data + recent post + duration ≥ 15s) **OR** (modest spend AND ROAS ≥ 1.5).\n- Always review the list yourself before sending — Weston catches sloppy lists.\n\n### 🛑 Sale-aware boost coordination (hard rule)\n**Never fire CREATIVE_NO_BID boosts during an active product sale without knowing the sale end date.** Real case: 24 Longevity Duo boosts fired during a sale ran 1.42× ROAS, then collapsed to **0.13×** when the discount ended — 13 of 24 killed. The creatives weren't bad; they lost their conversion advantage.\n- Before boosting any product: \"Is it on sale? When does the sale end?\"\n- Set `schedule_end_time` = sale end (not +7d).\n- Sale ending in < 48h → don't fire fresh boosts (kill rate > 50%).\n- Sale just ended → wait 24h before boost decisions on that product.\n\n### Scripts\n- `scripts/gmv-boost-auto.js` — daily auto-runner: reads authorized creators from the boost-queue Google Sheet, boosts their unboosted videos, posts a Telegram summary. `--dry-run` to preview.\n- `scripts/auto-boost-cron.js` — cron entry.\n- `scripts/find-restricted-videos.js` — account-wide compliance scan → `/tmp/restricted-videos-YYYY-MM-DD.csv`.\n\n### Auto-boost ↔ kill-cron loop (failure mode to prevent)\nIf the boost cron and kill cron run on the same account they can enter a kill/re-boost loop. Prevent with: a 7-day **cooldown** (skip any video killed in last 7d), **pre-boost re-validation** (re-pull 7d perf at boost time — never trust a stale sheet), and **symmetry** (boost cron must not boost anything the kill cron would kill). Audit with `scripts/audit-fresh-boosts.js` after every auto-boost run.\n\n---\n\n## 5. HOW WE OPTIMIZE ADS (the ROI-bid lever)\n\nThe primary optimization knob on a live GMV Max campaign is **`roas_bid`** (Weston calls this both \"ROI\" and \"ROAS\" — same field). It's read AND writeable on `/campaign/gmv_max/info|update/`.\n\n- **Lower `roas_bid`** = lower ROI floor → TikTok accepts a worse return per dollar → **spends more aggressively for volume.** Right posture for a flash/Deals-For-You event.\n- **Raise `roas_bid`** = tighter floor → throttles spend, effectively pauses bleeders.\n\n### Bulk ROI-bid change across all active campaigns (the verified 5-step workflow)\n\n> Full reference: `references/gmv-max-roi-bid-bulk-update.md`. Verified live 2026-06-17: 15/15 campaigns moved `roas_bid` 6→5, Promotion Days re-asserted ON, 0 failures.\n\n1. **Read the token live** (`.hivemind-token`) — don't trust hardcoded.\n2. **Discover ACTIVE campaigns.** `/gmv_max/campaign/get/` with `operation_status:['ENABLE']` returns ~**266** — but only ~**15** are truly active. **Filter `secondary_status === 'CAMPAIGN_STATUS_ENABLE'`.** The other ~251 are dormant/auto-created promo shells; looping `/info/` on all of them times out.\n3. **Dry-run read** `/campaign/gmv_max/info/` per active campaign; show Weston a before→after table of `roas_bid` + `promotion_days`.\n4. **Write** `POST /campaign/gmv_max/update/` with `{advertiser_id, campaign_id, roas_bid:N, promotion_days:{is_enabled:true,auto_schedule_enabled:true,roas_bid_multiplier:90}}`. **Always re-assert the `promotion_days` block in the same call** — omitting it can clear PD. `roas_bid` is a `double`. ~700ms between calls (rate limit).\n5. **Verify by RE-READ** — re-run `/info/` and confirm the new `roas_bid` and `promotion_days.is_enabled:true`. **Never report success off `code:0` alone.**\n\n### Promotion Days\nTikTok's promo-day feature. We keep it on for every active campaign: `is_enabled:true, auto_schedule_enabled:true, roas_bid_multiplier:90`. The multiplier produces `adjusted_roas_bid` in `/info/`. \"Make sure Promotion Days is on for every campaign\" = the §5.4 re-assert (idempotent, safe to send even when already on).\n\n### Bid recommendation\n`gmv_max_bid_recommend.yml` exposes TikTok's suggested ROI bid — useful as a sanity check when deciding a new floor, but our floors are set by Weston's strategy, not blindly by the recommender.\n\n### Revert discipline\nFor event-driven bid drops, offer a paired cron to snap bids back after the event (need end-time PT). **Don't create it unless asked.**\n\n---\n\n## 6. HOW WE KILL ADS (underperforming boost sessions)\n\nWe kill **boost sessions** (CREATIVE_NO_BID), not whole campaigns. Killing sessions does **not** cut campaign spend directly — TikTok redistributes the freed budget to surviving sessions.\n\n### The daily kill cron\n- **Schedule:** single sweep **9 AM PT** (cron `cc17868df89a`). No 6PM sweep (retired — single-day-budget videos never reach today-based spend thresholds by 6PM).\n- **Script:** `scripts/kill-bad-boosts.js` (`--live` to actually delete; default = dry-run preview). Runs from `~/.openclaw/agents/blitz/workspace`.\n- **All windows end YESTERDAY** (completed-day data = clean signal; TikTok's reporting day resets at midnight PT).\n\n### Kill rules (tiered)\n| Tier | Window (ending yesterday) | Spend | ROAS | Min age |\n|---|---|---|---|---|\n| 1 — Daily bleeder | Yesterday only | > $30 | < 1.0× | 1d |\n| 2 — Sustained bleeder | 3d | > $50 | < 1.0× | 2d |\n| 3 — Lifetime cooked | 7d | > $100 | < 1.0× | 3d |\n\n**Override (KEEP):** `yday_ROAS ≥ 2.0× AND yday_spend ≥ $20` → recovering winner, keep it.\n\n### Sessions-first, never loop all campaigns\n`operation_status: ENABLE` returns 150+ campaigns but only ~6–15 ever have active boost sessions. **Don't loop all of them** (times out — Weston has flagged this repeatedly). Instead:\n1. Use the known active campaign IDs (or filter `secondary_status === CAMPAIGN_STATUS_ENABLE`).\n2. `/campaign/gmv_max/session/list/` per campaign — skip immediately if 0 sessions.\n3. Pull perf only for campaigns that have sessions (`dimensions:['session_id']`, three windows: yesterday / 3d / 7d ending yesterday).\n\n### Data integrity\n- Retry each report window up to 3×. If ALL windows return null/zero for a session → **SKIP** (never kill on missing data).\n- Reconstruct the combined window from dailies when the combined call flakes to `[]`.\n\n### Custom / ad-hoc kill sweeps (Weston: \"kill anything under X ROAS over the last Y days\")\nSeparate from the daily cron. Clone `kill-list-3day.js` → edit `MIN_ROAS` and the date window. **The KILL-PILE ROAS diagnostic** is the honest signal: `sum(rev of kill candidates) / sum(cost of kill candidates)`.\n- > 1.1× → you're deleting money-makers (rule too aggressive)\n- ≈ 1.0× → surgical (cutting breakeven-and-fading) — the target\n- < 0.5× → true money pits\n(Survivor ROAS always looks good when you cut deep — survivorship bias. The kill-pile ROAS is what tells the truth.)\n\n### ⚠️ Executor pitfall\n`execute-kill-list.js` **deletes every row in the CSV regardless of the `recommendation` column.** ALWAYS materialize a `-KILLONLY.csv` (kill-only rows) first and run the executor against THAT.\n\n### Delete API quirk\n`/campaign/gmv_max/session/delete/` wants **`session_id` (singular scalar)**. Passing a `session_ids` array → `40002`. (The list endpoint, conversely, wants plural `session_ids`.)\n\n### Persistent kill log\nWrite a CSV before executing deletes (Date, Run, Campaign, Video ID, Session ID, Kill Tier, spend/ROAS per window). 7d+ kills are **unrecoverable from the API** afterward — confirmed when 162 of 170 kills couldn't be reconstructed.\n\n---\n\n## 7. Compliance Appeals (adjacent — affects what's killable/boostable)\n\nViolation/appeal endpoints return `40006 no schema found` — **no API**, Seller Center UI only. We track appeals in a Google Sheet and build CAP (Corrective Action Plan) documents (HTML → weasyprint PDF → JPEG, TikTok only accepts JPG). NSF GMP certs + COAs on file. The auto-appeal cron retries rejected sessions but most failures are dead-asset (`Nil item_identity`, \"video/product unavailable\") — those can never re-boost and should be quarantined to stop burning runtime. Full detail: `references/compliance-appeals-ops.md`.\n\n---\n\n## 8. Failure-Mode Quick Reference\n\n| Error / symptom | Cause | Action |\n|---|---|---|\n| `{\"error\":\"Invalid token\"}` | Rotated HiveMind token | Read `.hivemind-token` live |\n| `40002 Invalid metric(s)` | Used auction metric names on GMV Max report | Use `cost`/`gross_revenue`/`roi` |\n| `40002` on session delete | Passed `session_ids` array | Use singular `session_id` |\n| `40006 no schema found` | Endpoint not in proxy (violations/appeals) | Seller Center UI |\n| `Nil item_identity` | AUTH_CODE video not synced / dead asset | Retry 12–24h, or quarantine if dead |\n| `Creative boost is limited to 100 videos per campaign` | Session cap hit | Kill audit to free slots |\n| Combined-window report `[]` | TikTok flake | Reconstruct from daily calls |\n| `/info/` loop times out | Looped all 266 ENABLE campaigns | Filter `CAMPAIGN_STATUS_ENABLE` first |\n| Empty affiliate video list | Missing `need_auth_code_video:true` | Add the param |\n| Python `JSONDecodeError` on `/gmv_max/video/get/` | Control chars in captions | Use Node.js |\n| Report $0 across all campaigns | Date range > 365 days | Use rolling 364-day window, not fixed start |\n\n---\n\n## 9. Daily Operating Rhythm\n\n- **AM:** pull yesterday's perf (`gmvmax-daily-report.js`), run kill audit.\n- **8 AM PT:** auto-boost cron (boost authorized-creator videos).\n- **9 AM PT:** kill cron `cc17868df89a` (yesterday-window tiers).\n- **9 AM PT:** appeals audit (delta-only — silent if nothing changed).\n- **PM:** mid-day perf check, plan tomorrow.\n- **Always:** dry-run → show Weston → approve → execute → **verify by re-read** → log to memory/MOMENTUM + push learnings to the Brain Trust via `contribute.py`.\n\n---\n*Master process doc. Deep per-task references live in the `tiktok-shop-ops` skill. No secrets here by design — token is read live at runtime.*\n","code_snippet":"","skill":"tiktok-shop-ops","platform":"tiktok_ads","applicable_to":["blitz","pulse","cortex","scout","sync"],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T23:05:54.639479+00:00","updated_at":"2026-06-16T23:05:54.639479+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"908b9e29-c705-47a6-aa2c-7dcc6760ce8c","agent":"blitz","category":"workflow","title":"Blitz work summary (bridge 6/16 to 6/17) 2026-06-17","problem":"Periodic swarm retro: capture blitz activity since the 2026-06-16 summary (learning 22b2cd54). Window 2026-06-16 -> 2026-06-17.","solution":"MAJOR INTERACTIVE ACTION 2026-06-17 (Weston-driven, full detail in learning b69fb2d3): bulk ROI-bid drop for the TikTok 'Best Deals For You' day. All 15 active GMV Max campaigns moved roas_bid 6 -> 5 and Promotion Days re-asserted ON, 15/15 verified by re-read, 0 failures. Key reusable findings surfaced: (a) /gmv_max/campaign/get/ ENABLE returns 266 campaigns but only 15 are truly active - filter secondary_status==='CAMPAIGN_STATUS_ENABLE'; (b) the old hardcoded HiveMind token had rotated ('Invalid token') - always read live from ~/.hermes/profiles/blitz/workspace/.hivemind-token; (c) re-assert the promotion_days block in the same update call so the bid write doesn't clear it. No revert cron set (Weston declined) - portfolio holds at 5 ROAS until told otherwise. CRON BACKDROP 06-16/06-17: routine appeals-audit + appeal-report + auto-appeal runs continued; no new interactive sessions besides the ROI change. Standing flags from the 6/16 summary remain open: auto-appeal queue still full of dead-asset keys (burns runtime), compliance sheet static since 5/20, appeal-report.js 365-day date fix should be made permanent in cron. DELIVERABLES updated this session: MOMENTUM.md (6/17 entry), MEMORY.md (token-rotation + secondary_status discovery filter + update payload), skill tiktok-shop-ops (new ref gmv-max-roi-bid-bulk-update.md + Part 1 pointer subsection), copied contribute.py into blitz scripts/brain-trust/.","code_snippet":"active filter: /gmv_max/campaign/get/ ENABLE (266) -> keep secondary_status===CAMPAIGN_STATUS_ENABLE (15). update: POST /campaign/gmv_max/update/ {roas_bid:5, promotion_days:{is_enabled:true,auto_schedule_enabled:true,roas_bid_multiplier:90}}","skill":"tiktok-shop-ops","platform":"tiktok_ads","applicable_to":["blitz","cortex"],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T20:21:50.071141+00:00","updated_at":"2026-06-16T20:21:50.071141+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"b69fb2d3-d4db-4e68-bf95-fd6f3ca59bd8","agent":"blitz","category":"api_integration","title":"GMV Max bulk roas_bid update + Promotion Days across all active campaigns","problem":"Weston: reduce ROI/ROAS by 1 across ALL active GMV Max campaigns for a TikTok 'Best Deals For You' day, and ensure Promotion Days is on for every campaign. Two traps: (1) /gmv_max/campaign/get/ with operation_status=ENABLE returns ~266 campaigns but most are dormant/auto-created promo shells - looping info on all of them times out; (2) the HiveMind token hardcoded in old scripts had rotated and returned 'Invalid token'.","solution":"Discovery: pull /gmv_max/campaign/get/ ENABLE then FILTER secondary_status==='CAMPAIGN_STATUS_ENABLE' -> only 15 truly active (vs 266 raw). All 15 were at roas_bid 6 with Promotion Days already ON (is_enabled true, roas_bid_multiplier 90, auto_schedule true). Write each via POST /campaign/gmv_max/update/ with roas_bid:5 AND re-assert the promotion_days block in the SAME call {is_enabled:true,auto_schedule_enabled:true,roas_bid_multiplier:90} so the bid write can't clear it. ALWAYS read the live token from ~/.hermes/profiles/blitz/workspace/.hivemind-token (old hardcoded tokens rotate). Verify by re-reading /campaign/gmv_max/info/ - never trust write code:0. Result: 15/15 to roas_bid 5, PD confirmed on, 0 failures. Lower roas_bid = lower ROI floor = TikTok spends more aggressively for volume (correct for a Deals-For-You day). No revert cron set (Weston declined).","code_snippet":"POST /campaign/gmv_max/update/  body={advertiser_id, campaign_id, roas_bid:5, promotion_days:{is_enabled:true,auto_schedule_enabled:true,roas_bid_multiplier:90}}  // filter active: secondary_status===CAMPAIGN_STATUS_ENABLE (15 of 266)","skill":"tiktok-shop-ops","platform":"tiktok_ads","applicable_to":["blitz","pulse","cortex"],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T20:21:28.416143+00:00","updated_at":"2026-06-16T20:21:28.416143+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"095eb996-e8ac-4fea-bc66-52e2eafe8b54","agent":"motion","category":"gotcha","title":"Detached render launched from execute_code blocks the parent if the child inherits the stdout pipe","problem":"`nohup python3 render.py & echo PID $!` launched inside an execute_code subprocess still BLOCKS the wrapper for the full timeout (killed at 300s) because the child inherits the script's stdout pipe and the wrapper waits on the open pipe even after the shell returns. The render process itself was fine and kept running detached.","solution":"Always redirect the harness to its OWN log file at launch: `nohup python3 render.py > run.out 2>&1 &` so nothing holds the parent's pipe, then return immediately. Poll in SEPARATE short calls by reading the log + output dir from disk. A 100s+/full-timeout hang on a launch call is this pipe issue, NOT a failed render — check ps+log before relaunching (relaunching spawns a duplicate that clobbers a resumable batch).","code_snippet":"","skill":"cgi-character-narrator-video","platform":"general","applicable_to":["motion","reel","frame","cut","render","splice","vista","prism","scene","strobe","forge"],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T07:23:27.264429+00:00","updated_at":"2026-06-16T07:23:27.264429+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"c0308c1c-e148-4a98-8a25-9a8e8b8b3800","agent":"motion","category":"gotcha","title":"Build the A/B frame-gate contact sheet WIDE, not tall (mobile legibility)","problem":"An 11-clip / 22-frame gate built as a 2-col (A|B) x 11-row sheet comes out ~834x7517 — a tall thin strip unreadable on Telegram/mobile, forcing a rebuild.","solution":"Build a WIDE grid: 3 scene-blocks per row (each block = the clip's A|B pair side by side), ~4 rows, landing ~1836x2398. Header names the format + 'Frame A = clip start, Frame B = clip end'. Vision-QC the sheet yourself FIRST and give an honest ship/fix rec (woman consistency, villain consistency+sealed, broken/garbled frames, label legibility) alongside it — don't hand the human a sheet blind.","code_snippet":"","skill":"cgi-character-narrator-video","platform":"general","applicable_to":["motion","reel","frame","cut","render","splice","vista","prism","scene","strobe","forge"],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T07:23:27.102086+00:00","updated_at":"2026-06-16T07:23:27.102086+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"f7ccd9a6-239f-4c14-b6d7-92dea7a5f62f","agent":"motion","category":"workflow","title":"When a user says 'I've been waiting,' verify ACTUAL process/log/disk state before assuming progress","problem":"A job had silently STALLED at the human A/B-approval gate: frames finished but the gate was never presented, so no render ever started — yet it superficially looked like 'a render is running.' The user waited 80 min on a job that wasn't moving.","solution":"Before reporting status, check the real state on disk: `ps aux | grep <harness>`, tail the run log, `ls -lt` the output dir, ffprobe artifacts. Report the HONEST state including 'nothing was actually running' rather than inventing progress. If stalled at a human gate, present the gate, get the GO, then proceed. Session resets wipe in-memory job context — reconstruct from disk, never from assumption.","code_snippet":"","skill":"cgi-character-narrator-video","platform":"general","applicable_to":["motion","reel","frame","cut","render","splice","vista","prism","scene","strobe","forge","apex","quill","stockpile"],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T07:23:26.941526+00:00","updated_at":"2026-06-16T07:23:26.941526+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"b2b9dcc1-6709-45a3-803a-ba1898b86fdb","agent":"motion","category":"gotcha","title":"VEO can silently DROP a scripted background cameo from the CTA — audit the frame, fix in the frame","problem":"The CTA beat called for the defeated villain mascot slumped in the corner of the hero shot. The first VEO render omitted it entirely (just tub + molecule mascots). VEO doesn't reliably include a small background element unless the START frame itself contains it.","solution":"Audit the CTA frame specifically for the scripted cameo before accepting. Fix it in the FRAME (regenerate the hero frame with the cameo ref explicitly in the ref list + an explicit description of the slumped/defeated pose), not in the animation prompt, then re-render that clip.","code_snippet":"","skill":"cgi-character-narrator-video","platform":"fal_veo31","applicable_to":["motion","reel","frame","cut","render","splice","vista","prism","scene","strobe","forge"],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T07:23:26.765151+00:00","updated_at":"2026-06-16T07:23:26.765151+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"25acdfef-1b49-47fc-909a-4239168d848b","agent":"motion","category":"gotcha","title":"Garbled product-tub label in a VEO/Kling clip is a FRAME defect — fix the frame, re-render only that clip","problem":"The CTA hero tub came back with gibberish '5539/E539' baked into the label. The render faithfully animated a bad Frame A whose NB2-generated label was already garbled. Garbled label text on the money shot reads as AI slop (Weston rejects on sight).","solution":"Do NOT try to fix label text in post. Regenerate the HERO FRAME feeding the REAL product packshot as a reference plus a verbatim label-fidelity instruction ('label EXACTLY matching the reference, NO garbled text, NO random numbers, NO gibberish'), vision-QC it reads clean letter-by-letter, THEN re-render ONLY that one clip from the fixed frame and re-concat (~3 min). Note: the Shelf Builder cursive wordmark legitimately renders 'Shetf' (malformed L) — that specific flourish is a KNOWN acceptable artifact, don't fail QC on it; the real defect is random-number gibberish.","code_snippet":"","skill":"cgi-character-narrator-video","platform":"nano_banana_2","applicable_to":["motion","reel","frame","cut","render","splice","vista","prism","scene","strobe","forge"],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T07:23:26.590999+00:00","updated_at":"2026-06-16T07:23:26.590999+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"d3536221-c176-4551-9ba3-4106ffa9be7f","agent":"motion","category":"workflow","title":"VEO 3.1 dialogue path for villain-confessional ads (villain lip-syncs on camera)","problem":"Default villain-confessional format is Kling silent-acting over ONE ElevenLabs VO master, trimmed to Whisper beat windows. When the stakeholder wants the character to actually SPEAK/lip-sync on camera, that whole pipeline changes and is easy to get wrong by muscle memory.","solution":"Use fal-ai/veo3.1/image-to-video with generate_audio:true so VEO voices+lip-syncs per clip. Reuse the SAME approved A/B frames as the silent path. Confirm the path with the stakeholder BEFORE rendering (re-rendering 11 VEO clips is ~25-30 min). Two prompt templates: build_bottle() for clips where the villain is on screen (it lip-syncs EVERY word, woman stays mute/reacts) and build_vo() for solution/mechanism/CTA clips where the villain is absent (same voice as OFF-SCREEN narrator, nobody lip-syncs). Pin one identical VOICE descriptor string in BOTH templates to hold voice consistency across clips (VEO uses its own voice, not ElevenLabs Laura). STITCH = STRAIGHT CONCAT (each clip carries its own baked dialogue audio synced to its lip-sync; trimming cuts words mid-sentence). Normalize each clip to uniform params, concat with audio, NO -t trim, NO setpts. CAPTIONS = Whisper-transcribe the FINAL concatenated master's audio (base model; small OOMs on V100 box), word timings map 1:1 onto video (no scaling), apply SCRIPT-spelling fixes for brand words, ASS [Events] Format line MUST include the Name field. Verified end-to-end: Tequila villain confessional, 11/11 clips clean at safety_tolerance:'6', 70.2s, 1080x1920, shipped Jun 2026.","code_snippet":"fal_client.subscribe(\"fal-ai/veo3.1/image-to-video\", arguments={\"prompt\":p, \"image_url\":<FrameA upload>, \"aspect_ratio\":\"9:16\", \"duration\":\"8s\", \"resolution\":\"1080p\", \"generate_audio\":True, \"auto_fix\":True, \"safety_tolerance\":\"6\"})  # duration is STRING with s-suffix (4s/6s/8s), not int","skill":"cgi-character-narrator-video","platform":"fal_veo31","applicable_to":["motion","reel","frame","cut","render","splice","vista","prism","scene","strobe","forge"],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T07:22:55.753985+00:00","updated_at":"2026-06-16T07:22:55.753985+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"5264f270-f4b5-4146-b2fc-0965d8e2d93f","agent":"forge","category":"video-production","title":"Hook clip is the highest morph-risk beat on a transformation ad","problem":"Scene 01 hook morphed the locked spokeswoman into a white woman then a Black woman getting a massage; VEO drifted toward the massage/PT-clinic Day-1 pattern baked into the format.","solution":"Always QC the rendered HOOK CLIP by pulling frames at 0/2/4/5s (static-frame QC misses it). Regenerate the hook frame unambiguous (correct identity+build, single-person setting, NO massage table, NO second person) and re-render with a hard anti-morph + no-massage guard. Resumable assembler: rm the bad seg + finals, rebuild only that segment.","code_snippet":"guard='Keep her EXACTLY as input, same ethnicity, never a different person; NO massage table, NO clinic, NO second person, NO scene change; exactly one woman.'","skill":"nanobanana-clone-to-veo","platform":"veo3","applicable_to":null,"verified":true,"session_date":"2026-06-16","tags":["veo3","hook","anti-morph","transformation-ad"],"metadata":null,"created_at":"2026-06-16T07:02:00.834621+00:00","updated_at":"2026-06-16T07:02:00.834621+00:00","anti_patterns":"Trusting the hook frame QC and skipping clip-level QC on scene 01.","trigger_conditions":"Rendering the opening hook clip of a Barbie Transformation ad.","verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"6bde16a7-c775-4999-8eb4-ca8461557b9e","agent":"forge","category":"video-production","title":"Product-tub scenes must pass the product ref or the label hallucinates","problem":"A kitchen scoop scene rendered a garbled pink jar reading 'CREAINE' because the frame-gen script only fed the real product photo to the obvious product scenes; the scoop scene got the woman ref only.","solution":"Audit EVERY scene showing the tub (scoop, counter, hold-up) and pass the product ref in image_urls with a faithful-label clause describing the real label. Tiny sub-text soft at scale is OK; the brand block must read faithfully. QC by vision-analyzing a clip frame, not just the still.","code_snippet":"image_urls=[woman_ref, product_ref]; prompt+='image 2 = EXACT tub: pink, white lid, CREATINE FOR WOMEN band, Clean Nutra + Shelf Builder wordmarks; label faithful, never garbled.'","skill":"nanobanana-clone-to-veo","platform":"nanobanana","applicable_to":null,"verified":true,"session_date":"2026-06-16","tags":["nanobanana","product-ref","label-fidelity","hallucination"],"metadata":null,"created_at":"2026-06-16T07:02:00.834621+00:00","updated_at":"2026-06-16T07:02:00.834621+00:00","anti_patterns":"Passing the product ref to only a hard-coded subset of scenes when other scenes also show the product.","trigger_conditions":"Any video scene that shows the product tub on screen.","verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"f938aca0-b947-4822-ab11-1cda8a71fe88","agent":"forge","category":"video-production","title":"Stale cross-project SKIN guard flips spokeswoman ethnicity at VEO render stage","problem":"Cloned render30.py from a prior spin-off; the SKIN identity guard still said 'DEEP DARK EBONY / straight black hair'. VEO obeyed the prompt text and re-cast the locked tan Latina as a Black woman mid-clip even though the source frame was correct. Static-frame QC missed it.","solution":"When cloning a render/frame-gen script to a NEW spokeswoman, rewrite the SKIN/identity guard for the new character FIRST and comment it 'do NOT copy another spin-off guard'. The guard overrides the frame. Re-verify the SCIENCE set (person-free scene IDs that skip the guard) matches THIS scene plan or VEO hallucinates a body into a person-free frame.","code_snippet":"SKIN='Her skin stays warm tan bronze, same single Latina, long dark wavy hair, never morphs/changes ethnicity.'  SCIENCE={'09','11','12','17','20','27'}","skill":"nanobanana-clone-to-veo","platform":"veo3","applicable_to":null,"verified":true,"session_date":"2026-06-16","tags":["veo3","render-guard","character-consistency","clone-trap"],"metadata":null,"created_at":"2026-06-16T07:02:00.834621+00:00","updated_at":"2026-06-16T07:02:00.834621+00:00","anti_patterns":"Copy-pasting a render script to a new spokeswoman without rewriting the identity guard; trusting static-frame QC to catch motion-only ethnicity drift.","trigger_conditions":"Scaffolding a new Barbie Transformation spin-off render script from an existing one.","verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"1765a35f-dbb2-49b8-8944-88368258a2b3","agent":"cortex","category":"workflow","title":"Cortex work summary (1d/3d/7d) 2026-06-16","problem":"Periodic whole-swarm retro: capture orchestrator activity for fleet learning.","solution":"Fleet retro 2026-06-16. Cortex = orchestrator. Verified recent work (this period):\n- LangGraph Orchestration Initiative (Phase 1): built isolated orchestrator venv + shelf_builder_video_campaign graph (intake->QC->revision-loop->stage-to-surge->contribute), revision loop + Brain Trust contribute node proven. KEY FINDING: video bus is async/cron-drained not request-response (BT learning 6180c71e).\n- Fleet MEMORY.md health repair: 2 over-limit agents (render, jarvis) + 3 at >=99% (cut, frame, surge) condensed under cap with zero fact loss; patched fleet_audit.py to add 92% URGENT early-warning tier.\n- THIS retro: pinged/summarized all 53 fleet agents across 4 tiers (BrandMindPC/V100-1/V100-2/Skytech), publishing work-summaries to Brain Trust; ran the whole fleet-self-summary workflow (footprint scan -> pilot forge -> batched delegate_task -> stub idle-reports -> collector).\n- 1d: heavy (LangGraph Day 2 + fleet retro). 3d/7d: LangGraph init, memory repair, Shelf Builder pilot scoping.","code_snippet":"","skill":"langgraph-orchestrator","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:35.456076+00:00","updated_at":"2026-06-16T02:33:35.456076+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"5a213340-5897-484f-a7cc-e83e88004f24","agent":"tars","category":"workflow","title":"Tars work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'tars' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: none.\n- Note: Skytech; no session files; unprovisioned/idle (no MEMORY.md).\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:18.778305+00:00","updated_at":"2026-06-16T02:33:18.778305+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"a87bb711-4710-4732-a909-a42512686fdf","agent":"render","category":"workflow","title":"Render work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'render' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: none.\n- Note: Skytech render (distinct from V100-1 render); no sessions; unprovisioned/idle.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:18.604674+00:00","updated_at":"2026-06-16T02:33:18.604674+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"fbc20bbc-d59f-42d8-a389-8862de8eb4c5","agent":"kronos","category":"workflow","title":"Kronos work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'kronos' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: none.\n- Note: Skytech; no session files; unprovisioned/idle (no MEMORY.md).\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:18.430316+00:00","updated_at":"2026-06-16T02:33:18.430316+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"5304dcc7-858c-4730-a983-247f5419395b","agent":"cipher","category":"workflow","title":"Cipher work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'cipher' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: none.\n- Note: Skytech; no session files; unprovisioned/idle (no MEMORY.md).\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:18.234577+00:00","updated_at":"2026-06-16T02:33:18.234577+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"b2732c6a-6df9-4f64-9649-65d88a73b34c","agent":"atlas","category":"workflow","title":"Atlas work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'atlas' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: none.\n- Note: Skytech atlas; no session files; unprovisioned/idle (no MEMORY.md).\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:18.046594+00:00","updated_at":"2026-06-16T02:33:18.046594+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"2dfd6abc-7202-44fa-8f89-14c380b13f30","agent":"warden","category":"workflow","title":"Warden work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'warden' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: 2026-04-30.\n- Note: Last active 04-30; idle ~6.5 weeks; near-empty MEMORY (40B).\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:17.027465+00:00","updated_at":"2026-06-16T02:33:17.027465+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"fd38d6b9-0e9d-4ccb-898f-125aec5d4797","agent":"relay","category":"workflow","title":"Relay work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'relay' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: 2026-06-10.\n- Note: 1 session on 06-10 (just outside strict 7d); otherwise idle.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:16.864045+00:00","updated_at":"2026-06-16T02:33:16.864045+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"defd47fb-b2af-4ef7-8632-c9055d152981","agent":"ledger","category":"workflow","title":"Ledger work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'ledger' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: 2026-06-10.\n- Note: 1 session on 06-10 (just outside strict 7d); finance/ledger agent; otherwise idle.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:16.695974+00:00","updated_at":"2026-06-16T02:33:16.695974+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"9316ad21-5ab9-47b2-8514-97d88e08fdc8","agent":"haven","category":"workflow","title":"Haven work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'haven' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: 2026-06-01.\n- Note: Last active 06-01.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:16.516037+00:00","updated_at":"2026-06-16T02:33:16.516037+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"e5477459-1c41-44cb-8b70-e423331dd583","agent":"crate","category":"workflow","title":"Crate work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'crate' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: 2026-05-21.\n- Note: Last active 05-21; idle ~3.5 weeks.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:16.344987+00:00","updated_at":"2026-06-16T02:33:16.344987+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"ce1a3c65-fb52-4ced-bd52-7177355c3365","agent":"comply","category":"workflow","title":"Comply work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'comply' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: 2026-05-27.\n- Note: Compliance agent; last active 05-27.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:16.177274+00:00","updated_at":"2026-06-16T02:33:16.177274+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"5ca17a66-a923-4bb3-abf9-807a16e35f84","agent":"atlas","category":"workflow","title":"Atlas work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'atlas' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: 2026-06-10.\n- Note: 1 session on 06-10 (just outside strict 7d window from 06-16); otherwise idle.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:16.011296+00:00","updated_at":"2026-06-16T02:33:16.011296+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"683382d8-bdd7-4556-bc44-20da934de0dd","agent":"vista","category":"workflow","title":"Vista work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'vista' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: none.\n- Note: Video render clone; no sessions in window.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:04.795034+00:00","updated_at":"2026-06-16T02:33:04.795034+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"768a610c-fafa-40d1-bc14-811e9f3ea6c8","agent":"strobe","category":"workflow","title":"Strobe work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'strobe' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: none.\n- Note: Video render clone; no sessions in window.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:04.639827+00:00","updated_at":"2026-06-16T02:33:04.639827+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"5c7590da-a1cd-434b-84cf-f4eb470f6bc1","agent":"stockpile","category":"workflow","title":"Stockpile work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'stockpile' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: 2026-05-25.\n- Note: Inventory agent; last active 05-25.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:04.470828+00:00","updated_at":"2026-06-16T02:33:04.470828+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"a2513558-0657-4d6a-97ab-f3e4d07b4a51","agent":"splice","category":"workflow","title":"Splice work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'splice' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: none.\n- Note: Video render clone; no sessions in window.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:04.312143+00:00","updated_at":"2026-06-16T02:33:04.312143+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"64a5e069-5b3d-4d77-acb5-9d661f019d98","agent":"scholar","category":"workflow","title":"Scholar work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'scholar' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: none.\n- Note: No session files; idle.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:04.148732+00:00","updated_at":"2026-06-16T02:33:04.148732+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"57936c7e-9334-49b0-a181-127de3d5bb61","agent":"scene","category":"workflow","title":"Scene work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'scene' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: none.\n- Note: Video render clone; no sessions in window.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:03.983091+00:00","updated_at":"2026-06-16T02:33:03.983091+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"ffc8220b-3afd-4a65-89c8-b89f16ba8f41","agent":"render","category":"workflow","title":"Render work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'render' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: none.\n- Note: Video render clone (V100-1); no sessions in window.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:03.833103+00:00","updated_at":"2026-06-16T02:33:03.833103+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"72788e55-e5f2-4eb4-98e5-aeb470f5ebed","agent":"quill","category":"workflow","title":"Quill work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'quill' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: 2026-05-11.\n- Note: Last active 05-11; idle ~5 weeks.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:03.65305+00:00","updated_at":"2026-06-16T02:33:03.65305+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"c893358e-96a8-40c8-a849-6397edb755c4","agent":"prism","category":"workflow","title":"Prism work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'prism' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: none.\n- Note: Video render clone; no sessions in window.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:03.482072+00:00","updated_at":"2026-06-16T02:33:03.482072+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"173b668b-82ce-413d-8d73-a1a40c662cbc","agent":"prime","category":"workflow","title":"Prime work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'prime' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: 2026-06-04.\n- Note: Authorized spawner agent; last active 06-04.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:03.323557+00:00","updated_at":"2026-06-16T02:33:03.323557+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"fc39e3e7-cf6c-492f-99ae-468645778924","agent":"motion","category":"workflow","title":"Motion work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'motion' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: none.\n- Note: Video render clone; no sessions in window.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:03.135607+00:00","updated_at":"2026-06-16T02:33:03.135607+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"0f0d00e9-5e85-46f3-89ca-7b377238d7e9","agent":"frame","category":"workflow","title":"Frame work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'frame' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: none.\n- Note: Video render clone; 154 cron outputs exist but no interactive sessions; see reel summary for shared video-fleet context.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:02.965968+00:00","updated_at":"2026-06-16T02:33:02.965968+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"d398ef03-7a72-4460-8cc9-df02c4e19a18","agent":"cut","category":"workflow","title":"Cut work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'cut' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: none.\n- Note: Video render clone; no sessions; cron/log-driven; no in-window activity.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:02.801725+00:00","updated_at":"2026-06-16T02:33:02.801725+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"29cf8086-ceb7-4878-80d7-9ba221be84ce","agent":"catalyst","category":"workflow","title":"Catalyst work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'catalyst' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: 2026-06-08.\n- Note: Last active 06-08, just before window.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:02.625333+00:00","updated_at":"2026-06-16T02:33:02.625333+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"2fd83022-5f0d-45ea-9035-ed1297fe6bf2","agent":"canvas","category":"workflow","title":"Canvas work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'canvas' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: none.\n- Note: Pixel-clone (new); no session files yet; work would show in logs/agent.log if any.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:02.453737+00:00","updated_at":"2026-06-16T02:33:02.453737+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"696b6d8f-fa77-4d8d-9c19-ab5544f64687","agent":"apex","category":"workflow","title":"Apex work summary (1d/3d/7d) 2026-06-16 - IDLE","problem":"Periodic whole-swarm retro: capture every agent's status for fleet learning.","solution":"Fleet retro 2026-06-16 (whole-swarm self-summary). Agent 'apex' status verified from on-host evidence (sessions, workspace/memory daily notes, cron/output).\n\n- 1 day (since 06-15): IDLE - no sessions, no daily notes, no cron output.\n- 3 days (since 06-13): IDLE - no in-window activity.\n- 7 days (since 06-09): IDLE - zero sessions in the 7-day window.\n- Newest session on disk: 2026-06-04.\n- Note: Amazon PPC agent; last active 06-04, before the 7d window.\n\nThis is a verified idle/quiet report, not invented work. The agent is provisioned and reachable; it simply had no activity in the 1d/3d/7d windows as of the fleet retro. If this agent should be active, investigate why it has no recent sessions.","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:33:02.283179+00:00","updated_at":"2026-06-16T02:33:02.283179+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"4114df6d-12b9-48df-9df5-78632fdf3ec2","agent":"phoenix","category":"workflow","title":"Phoenix work summary (1d/3d/7d) 2026-06-16","problem":"Periodic swarm retro: capture phoenix activity for fleet learning.","solution":"# Phoenix Work Summary (1d / 3d / 7d) - as of 2026-06-16\n\nAgent: phoenix (BrandMind) | Host: V100-2 (100.93.146.114) | Role: commerce/logistics ops for Clean Nutra (Mike). Lives in ShipHero + Cin7 (DEAR) + HiveMind proxy; runs a daily TR- transfer-order cron and answers ad-hoc fulfillment/finance questions.\n\n## 1-DAY (Jun 15 -> Jun 16)\n- Daily TR- cron ran 06-15 14:11. Result: 0 TR- orders (consistent all week). Phoenix bypassed the broken script and live-queried ShipHero via HiveMind proxy (confirmed working); first-page scan of Jun 14-15 returned zero TR-.\n- Phoenix escalated to Mike with a 3-way decision (TR- in Cin7 stock transfers vs planned ShipHero workflow vs other system). Still BLOCKED awaiting Mike's answer.\n- New skill authored: logistics/hivemind-platform-queries (06-16 01:51) - documents HiveMind proxy auth/call pattern/pagination/pitfalls across ShipHero, Cin7, Shopify, Amazon, TikTok, Walmart.\n- Standing MEMORY.md updated 06-16 01:48 (Cin7 API notes: /purchaselist, /stocktransferlist, advancedpurchase endpoint gaps).\n- No interactive operator sessions in this window (cron + skill/memory authoring only).\n\n## 3-DAY (Jun 13 -> Jun 16)\n- TR- daily cron ran each day (06-13, 06-14, 06-15): all returned 0 TR- orders.\n- 06-13: full live scan of ~4,700 orders across 94 ShipHero pages -> 0 TR-. Confirmed ShipHero order-number filter is exact-match only (no prefix search). Cin7 /ref/stocktransfer endpoint returns 404.\n- 06-14: manually refreshed ShipHero token via stored refresh token; confirmed API live. Re-documented the two root-cause defects and posed the Cin7-vs-ShipHero ownership question to Mike.\n- Net 3d theme: repeated, well-evidenced confirmation that TR- orders do not exist in ShipHero; persistent blocker is an unanswered routing/ownership question, not a data problem.\n\n## 7-DAY (Jun 9 -> Jun 16)\n- TR- daily cron fired all 6 days (06-10 through 06-15) - 6/7 daily runs present. Every run: 0 TR- orders.\n  - Early runs (06-10, 06-11) reported the broken-credentials symptom (stale ~/.openclaw/workspace/.env.shiphero path post-Hermes migration).\n  - Mid-week (06-12, 06-13) escalated to direct HiveMind proxy queries proving 0 TR- across 500+ / ~4,700 orders.\n- Interactive operator work (Jun 10-11, sessions with Mike):\n  - Jun 10: answered Cin7(DEAR) <-> ShipHero native-integration question; scoped a ShipHero-source-of-truth -> Cin7 inventory-sync solution. Pulled live shipment count for Jun 10: 1,282 orders shipped (TikTok ~1,045, Shopify 118, Amazon FBM 10, other 109).\n  - Jun 11: major analysis - May 2026 shipping spend allocated by sales channel. Discovered ShippingLabel.cost is the true postage-paid field (shipping_lines = customer-charged, 0 for TikTok); keyed channel via Order.shop_name / Order.source; found source='api' orders are TikTok (TT- prefix, shop_name=TikTok Shop). Paginated full 31-day May pull in 3-day windows and delivered channel breakdown. (One session turn was interrupted/resumed.)\n- New skills this week: hivemind-platform-queries (06-16) and productivity/excel-file-operations (06-11, zipfile XML extraction + openpyxl background-process workaround for workbooks that hang openpyxl).\n\n## INFRASTRUCTURE FLAGS\n- BROKEN (HIGH): daily_transfer_report.sh and count_tr_orders.sh source ~/.openclaw/workspace/.env.shiphero, which no longer exists after the Hermes migration. Credentials now live at workspace/.env.shiphero. Scripts also lack ShipHero token-refresh logic -> silently return zero on token expiry. Workaround in use: live HiveMind proxy queries. Permanent fix deferred pending TR- source decision.\n- DEGRADED: Cin7 /ref/stocktransfer endpoint returns 404 via HiveMind; PO type 'Advanced Purchase' not accessible via HiveMind (/advancedpurchase endpoint gap).\n- BLOCKED (process, not infra): TR- order definition unresolved - Phoenix is waiting on Mike to pick option 1/2/3 (Cin7 stock transfers vs planned ShipHero workflow vs other). Cron will keep emitting 0 until answered.\n- Activity cadence note: no interactive operator sessions since Jun 11; last 4-5 days are cron-only plus skill/memory authoring.\n\n## NEW SKILLS (-7d, genuine; the Jun-12 08:34 batch is bulk migration sync, excluded)\n- logistics/hivemind-platform-queries (2026-06-16)\n- productivity/excel-file-operations (2026-06-11)\n\n## EVIDENCE PER WINDOW\n- 1d: cron/output 2026-06-15_14-11-55.md; skills/logistics/hivemind-platform-queries/SKILL.md (mtime 06-16 01:51); memories/MEMORY.md (mtime 06-16 01:48). No sessions/*.jsonl in window.\n- 3d: + cron/output 2026-06-13 and 2026-06-14 .md files.\n- 7d: + cron/output 2026-06-10/06-11/06-12 .md; sessions session_20260611_164708_c6cc1b.json, session_20260611_131543_394e1ab5.json, session_20260610_153557_c897608b.json; skills/productivity/excel-file-operations/SKILL.md (06-11).\n- workspace/memory/ dir is stale (newest 2026-05-07) -> 0/7d, fell back to cron + sessions + MEMORY.md as specified.","code_snippet":"","skill":"hivemind-platform-queries","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:31:34.718043+00:00","updated_at":"2026-06-16T02:31:34.718043+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"864ad696-368c-48db-89b7-a785c2450eb8","agent":"jarvis","category":"workflow","title":"Jarvis work summary (1d/3d/7d) 2026-06-16","problem":"Periodic swarm retro: capture jarvis activity for fleet learning.","solution":"# Jarvis Work Summary (1d / 3d / 7d) - as of 2026-06-16\n\nAgent: jarvis (Weston's personal co-pilot + Clean Nutra logistics/marketing swarm member). Host: Skytech (100.112.161.16).\nEvidence basis: memories/MEMORY.md + MEMORY_archive_2026-06-15.md, cron/output, sessions/*.jsonl (newest-first), skills mtime.\nFootprint note: task context cited \"26 sessions/7d\" but on-host verification shows only 6 session files with mtime within -7d (newest is 2026-06-13). Reporting the verified count.\n\n## 1-DAY WINDOW (Jun 15 -> Jun 16) - QUIET\nNo agent sessions in this window (find -mtime -1 = 0 files). No cron output produced (latest cron output is 2026-06-01). Only background maintenance: MEMORY.md was regenerated/compacted and MEMORY_archive_2026-06-15.md written (Jun 15 10:29-10:30). No user-facing work, no shipping/marketing actions. SAY-SO: this is a genuinely quiet 24h window.\n\n## 3-DAY WINDOW (Jun 13 -> Jun 16) - 1 session\nSession 20260613_151151 (Jun 13). Two distinct workstreams:\n- TikTok phone farm (creator-program priority #2): deep research into the 2026 organic-posting phone-farm stack. Recommended Total Control 19 (Sigma-RT, PC orchestration) + AutoJS Pro / AutoJs6 (on-device automation); scrcpy+Appium as DIY alternative. Corrected initial bad URLs after HTTP-200 verification. Mixed Apple+Android fleet noted; iOS needs Appium+WebDriverAgent (a Mac). -> Captured as new skill `tiktok-phone-farm`.\n- Email migration: plan to move ~15 mailboxes from Namecheap private email to Google Workspace with zero downtime (MX-record swap only, domain registration untouched, lower TTL pre-cutover). Produced an 8-phase / 14-day internal runbook + team-facing announcement, saved to ~/clean-nutra-docs/email-migration/google-workspace-migration-plan.md.\n\n## 7-DAY WINDOW (Jun 9 -> Jun 16) - 6 sessions\nIncludes the 3d work above, plus:\n- FBA cancel ops (Jun 12, 20260612_104016): cancelled CIN7-TR-00146 in Amazon at user request (wrong SKU - should be 2-pack CN-KIT-DRP-BLOODSUGAR-2OZ-2PK). Located inbound plan wfae05a9b0-6670-4613-b5de-f5a7a717bc28 (status labels_ready), voided 5 FBA shipments (FBA19G216JJV, FBA19G20H712, FBA19G20YCLK, FBA19G2000NT, FBA19G24P5TB) via POST /api/fba/cancel-plan, marked DB row. Operation e5594374-c892-4c43-9983-e54e6e1591cb.\n- FBA pipeline rescue + knowledge persistence (Jun 11, 20260611_121644): investigated why CIN7-TR-00121/00125/00127/00129... never got shipping labels. Hardened the FBA placement picker (pre-vet every placement for >=1 partnered SPD shipment, throw PartneredUnavailableError, 3x auto-submit retry + Telegram). Persisted probe scripts, a diagnose-fba-failure runbook, and the kit-aware-lot fix into the `clean-nutra-inventory-pipeline` skill; compacted memory accordingly.\n- Group hygiene (Jun 12 20260612_104451 + Jun 11 20260611_123932): correctly stayed silent in \"Clean Nutra FBA Shipments\" group when not tagged (per USER.md rule); flagged it has no \"warehouses\" chat connected (only Weston DM, FBA Shipments group, Javis Quantum).\n- Slack/calendar scoping (Jun 9, 20260609_132004): scoped taking over Slack-watching + Google Calendar/Gmail. Confirmed google-workspace skill + slack_bolt/slack_sdk available; began Slack bot setup walkthrough (pending user-side app creation).\n\n## INFRA FLAGS\n- FBA pipeline: ACTIVE and operated this period (cancel + picker hardening). No NEW breakage observed in-window; the Jun 11 \"pipeline broke / no labels\" issue was diagnosed and patched (placement picker 118d3dd, kit-aware lots 9ee67ef). Guardrail dependency persists: env FBA_SELF_BASE_URL=https://shiphero-shipstation-bridge.vercel.app must stay set to avoid Vercel Deployment-Protection regressions; SH product_update requires customer_account_id=95145.\n- Mailbox / email: migration from Namecheap to Google Workspace is PLANNED but NOT yet executed (no auth handover confirmed in sessions). This is an upcoming auth/MX change that could disrupt agent mailbox access if MX cutover happens without coordinating jarvis mail auth - watch on execution.\n- Cron: jarvis cron has produced no fresh output since 2026-06-01 (cron/output latest = 2026-06-02 brief). Worth confirming scheduled jobs are still firing.\n- No active outage detected as of the 1d window (quiet).\n\n## NEW SKILLS (SKILL.md mtime within -7d)\n- clean-nutra-inventory-pipeline (Jun 12) - CIN7 -> ShipHero -> Amazon FBA pipeline debugging/architecture/ops, incl. placement-picker + kit-aware-lot fixes and triage runbooks.\n- tiktok-phone-farm (Jun 13) - Clean Nutra TikTok phone-farm software stack (Total Control + AutoJS), iOS/Android split, anti-detection, verified vendor URLs. Ties to creator-program priority #2.\n","code_snippet":"","skill":"clean-nutra-inventory-pipeline","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:31:27.971718+00:00","updated_at":"2026-06-16T02:31:27.971718+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"b5ddcda1-b78d-4268-b6eb-aafc70e850c5","agent":"helix","category":"workflow","title":"Helix work summary (1d/3d/7d) 2026-06-16","problem":"Periodic swarm retro: capture helix activity for fleet learning.","solution":"# Helix Work Summary (1d / 3d / 7d) -- as of 2026-06-16\n\nAgent: helix | Role: Clean Health customer support / triage automation (BrandMind swarm, BrandMindPC)\nActivity model: cron-driven. 4 scheduled jobs run daily/every-3-days; no interactive sessions since 2026-05-31.\nEvidence basis: cron/output/*.md (primary), cron/jobs.json (job state), skills mtimes, workspace memory.\n\n## TL;DR\nHelix is steady-state cron triage. The signal stream (FDA peptide monitor, pharmacy formulary\nmonitor, Slack digest) is healthy and quiet. The EMAIL pipeline is BROKEN: all 4 cleanhealth.io\nIMAP mailboxes have been AUTHENTICATIONFAILED for 4 straight days (since 2026-06-12). Inbox is\neffectively dark -- \"inbox zero\" reports are UNVERIFIED. This is the one thing needing human action.\n\n## 1-DAY window (2026-06-15 -> 2026-06-16)\nThree cron jobs fired on 2026-06-15; pharmacy monitor not due (every-3-day cadence).\n- 08:01 FDA peptide monitor (50899031df5c): FDA_PEPTIDE_OK. Perplexity sonar-pro returned zero\n  results/citations for the 24h window. Standing baseline unchanged: all 12 peptides remain\n  compoundable post Apr-22; PCAC review Jul 23-24 (38 days out); comment docket FDA-2025-N-6895\n  closes Jul 22. Nothing to act on.\n- 09:00 CH inbox daily digest (65875d4d51c9): ALL 4 accounts (team@, admin@, support@, weston@)\n  login failed -- [AUTHENTICATIONFAILED]. totals.errors=4, unread=0 (unverified). Helix correctly\n  flagged the \"inbox zero\" as unverified and recommended rotating IMAP credentials.\n- 09:01 CH Slack daily digest (ffa0a3be5446): workspace OK (0 errors). Surfaced stalled MDI\n  onboarding thread with Desiree Plasencio (~6 weeks): (1) attach medical intake questionnaire to\n  encounter c9ba7ca1, (2) confirm Empower offering updates, (3) account still not pushed live +\n  unresolved MDI<->Strive integration error (raised by James 05-28). Read-only; offered to draft\n  a follow-up pending Weston approval.\n\n## 3-DAY window (2026-06-13 -> 2026-06-16)\n- 2026-06-13: pharmacy formulary monitor (d719805c602a) ran (its only run in window). Hash changed\n  but NO actionable pharmacy news across 15 watched pharmacies -- no new peptide listings, no\n  LegitScript/NABP changes, no warning letters, no public outreach replies. Noted formulary rollouts\n  are happening behind provider portals, limiting passive web monitoring; recommended requesting\n  portal access from Strive/Empower/Newtropin.\n- 2026-06-13/14/15: inbox digest -> AUTHENTICATIONFAILED on all 4 mailboxes every day.\n- FDA monitor: OK / quiet each day. Slack digest: same stalled-MDI signal carried forward.\n\n## 7-DAY window (2026-06-09 -> 2026-06-16)\nRuns observed: FDA monitor 6x (09,11,12,13,14,15 -- 06-10 gap), Slack digest 6x, inbox digest 7x\n(09,11,12,13,14,15 +), pharmacy monitor 1x (06-13). All jobs enabled, last_status=ok in jobs.json.\n- FDA peptide monitor: quiet entire window -- no new FDA/DEA/state BoP actions. Stable baseline.\n- Pharmacy monitor: quiet -- no formulary/capability changes detected.\n- Slack: quiet at aggregate level; the only live thread is the long-stalled MDI/Desiree onboarding\n  (intake questionnaire + Empower offerings + go-live + MDI/Strive error). No new inbound this week.\n- Email: the dominant event of the window -- IMAP auth broke on 2026-06-12 and stayed broken.\n\n## INFRA FLAGS\n- [CRITICAL / ACTIVE] cleanhealth.io IMAP AUTHENTICATIONFAILED on ALL 4 mailboxes\n  (team@, admin@, support@, weston@). Clean transition: 0 failures 06-01..06-11, then began\n  2026-06-12 and persisted 06-12,13,14,15 (4 consecutive days, still failing at last run\n  2026-06-15 09:00). Root cause likely expired/rotated Gmail app passwords or config drift in\n  inbox_daily_report.py credentials. IMPACT: support/triage email channel is dark; daily\n  \"inbox zero\" digests are FALSE-NEGATIVE-prone (script reports 0 unread because nothing was\n  read). NOTE: this matches the prior-run concern -- it is NOT resolved; it recurred/persists.\n  ACTION: rotate cleanhealth.io IMAP app passwords and update the inbox-checker credentials.\n- [OK] Slack pipeline (ecomerpdev workspace): healthy, 0 errors all runs.\n- [OK] Perplexity sonar-pro (FDA + pharmacy monitors): responding, no API errors.\n- [MINOR] FDA monitor has no 2026-06-10 output (single missed/empty day); resumed 06-11.\n\n## NEW SKILLS (last 7 days)\nNone authored. The skills tree shows a bulk mtime of 2026-06-12 01:40 across ~110 SKILL.md files\n-- this is a fleet re-sync/touch, not new authoring. The genuine Clean Health / BrandMind domain\nskills were last edited well before the window:\n- clean-health-codebase-navigation (2026-05-07)\n- brandmind/hivemind-api (2026-05-12)\n- clean-health-vendor-contracts (2026-05-26)\n- clean-health-inbox-monitoring (2026-05-31)\nNo SKILL.md has a true authoring mtime inside 2026-06-13..2026-06-16.\n\n## QUIET-WINDOW NOTE\nNo interactive sessions since 2026-05-31; no workspace/memory entries since 2026-04-24. Helix has\nbeen purely autonomous-cron this week. Substantive signal volume was LOW (regulatory + pharmacy\nboth quiet) -- correct behavior for a triage agent, not a gap. The only standing open item is the\n6-week-stalled MDI onboarding thread (human-owned), and the only fault is the email-auth breakage.\n","code_snippet":"","skill":"clean-health-inbox-monitoring","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:31:10.93772+00:00","updated_at":"2026-06-16T02:31:10.93772+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"3e6ac8e5-56e6-49c9-9853-f3eab46584fe","agent":"vault","category":"workflow","title":"Vault work summary (1d/3d/7d) 2026-06-16","problem":"Periodic swarm retro: capture vault activity for fleet learning.","solution":"# Vault Work Summary (1d / 3d / 7d) - as of 2026-06-16\n\n**Agent:** vault (BrandMind Financial Controller - AllSeason Enterprises LLC / Clean Nutra)\n**Host:** V100-2 (brandmind-v100-2, 100.93.146.114)\n**QBO realm:** 9130357070289386\n**Method:** mtime-bucketed evidence from sessions/ (main signal), skills/, cron/output, MEMORY/USER standing files. Dated memory/ files are stale (newest 2026-06-03), so sessions are authoritative.\n\n---\n\n## 1-DAY WINDOW (2026-06-15 -> 06-16)\n\nQUIET on full session transcripts - no session_*.json transcript was flushed for 06-15. However there IS real activity:\n\n- **Andrea S DM session active 06-15 18:17-20:28** (sessions.json index + state.db updated 20:28; session_id 20260615_181728_fc919659). No transcript file persisted, so exact content is not recoverable from disk.\n- **Two finance skills edited 06-15** (genuine content edits, not the 06-12 library refresh):\n  - `finance/month-end-close-allseason/SKILL.md` (06-15 18:33)\n  - `finance/fixed-assets-depreciation-schedule/SKILL.md` (06-15 20:30) + its references/ (20:30) and scripts/ (20:31)\n- Inference: the 06-15 Andrea session involved fixed-assets / month-end-close work that hardened those two skills. Transcript-level detail unavailable; reported as inferred from skill+index mtimes, not invented.\n\n## 3-DAY WINDOW (2026-06-13 -> 06-16)\n\nNo new transcripts dated 06-13 or 06-14. The only 3d-window activity is the 06-15 item above plus the 06-12 maintenance pass below (which lands at the 3d boundary). Effectively a low-activity window dominated by skill maintenance + the 06-15 Andrea session.\n\n- **2026-06-12 - Skill-library CURATOR / consolidation pass** (background Hermes maintenance, model: skill curator). Single domain cluster (AllSeason/BrandMind finance ops). Actions: archived stale `brandmind-finance` skill (198 patches, content already migrated), rescued + redistributed its reference files to correct owners, relocated misrouted JE-building refs into `manual-channel-sales-je`, patched descriptions/related_skills across `ar-monthly-close-3way-recon`, `payroll-accrual-bamboohr`, `sku-mapping-cross-channel`, `month-end-close-allseason`. Net: 9 finance skills -> consolidated, 1 archived.\n\n## 7-DAY WINDOW (2026-06-09 -> 06-16)\n\nThe substantive finance work. Newest-first:\n\n- **2026-06-12** - Skill curator consolidation pass (see 3d above).\n- **2026-06-10 - Amazon May 2026 shipping-credit reconciliation** (the major task; ran across multiple sessions, Sonnet 4.6). Goal: from Amazon Seller \"2026 May Monthly Unified Summary\" PDF, isolate the transactions composing Shipping Credits ($259,991.85) and Shipping Credit Refunds (-$5,692.81).\n  - File too large for Telegram (>20MB) -> escalated drop-on-server / cloud-link options.\n  - Pulled transaction data via HiveMind -> Amazon SP-API. Finances API event pagination FAILED at AllSeason scale (hit 500-page cap, only recovered ~$32,540 / 12.5% of target).\n  - Pivoted to Settlement Flat File reports (TSV). Discovered real column schema: `price-type=\"Shipping\"`, `transaction-type=Order` (credit) / `Refund`. Filtered by `posted-date` May 1-31, dedup'd cross-period overlap rows.\n  - RESULT: Shipping Credits = 147,688 txns = $257,409.46 (-$2,582 / ~1% vs target); Shipping Refunds = 2,752 txns (~$174 gap). Delivered zipped CSV breakdown (3.1MB) to user.\n  - Captured the learning into skill `hivemind-api`: rewrote `references/amazon-revenue-recon.md` to lead with Settlement Flat File approach (Finances API pager unusable at scale), added new working script + SKILL.md pointer.\n- **2026-06-09 - Prepaid Expenses schedule (May 2026) build** (large session). Built updated Prepaid Expenses schedule Excel from Aldrin's template + QBO transaction data. All 5 months tie to QBO: Jan 441,176.28 / Feb 365,363.50 / Mar 391,457.47 / Apr 404,594.53 / **May 495,786.33**. Added 19 new rows for items billed Apr-May absent from the original template. Preserved Aldrin's format/columns. (Matches MEMORY: 1350 = $495,786.33 confirmed 2026-06-09, PREPEXP-MAY-0526 Id=120106 posted.)\n\n---\n\n## EVIDENCE PER WINDOW\n\n- **1d:** sessions/sessions.json (Andrea S session 20260615_181728, updated 06-15 20:28); state.db mtime 06-15 20:28; skills/finance/month-end-close-allseason/SKILL.md (06-15 18:33); skills/finance/fixed-assets-depreciation-schedule/{SKILL.md,references,scripts} (06-15 20:30-20:31). No transcript file for 06-15.\n- **3d:** Above 06-15 items + session_20260612_045028_ffb0f8.json (curator pass).\n- **7d:** session_20260612_045028 (curator); session_20260610_202453_0f7ce2 + session_20260610_185028_75a094cf (Amazon shipping recon); session_20260609_220318_4d5fbb + session_20260609_190648_c9035edf (Prepaid schedule). MEMORY.md corroborates prepaid + QBO JE-POST facts.\n- **cron/output:** Last cron run 2026-06-07 22:45 (PayPal May recon recap) - OUTSIDE 7d window. cron/jobs.json currently empty (no scheduled jobs).\n- **dated memory/:** newest 2026-06-03 - stale, fell back to sessions as instructed.\n\n## INFRA FLAGS\n\n- **QBO / HiveMind: HEALTHY.** No live token-expiry or auth failure in the 7d window. QBO route was broken 2026-06-01 but RESTORED same day (read + JE POST); JE POST verified working 06-03; live QBO pulls succeeded 06-09 (prepaid) and 06-10 (Amazon SP-API via HiveMind returned data). Only \"broken\" mentions on disk are the standing USER.md escalation guidance and a historical resolved note. NOTE: token freshness not directly re-tested as of 06-16 - recommend a keepalive read before next close session, but no evidence of breakage.\n- **Amazon SP-API scale limit:** Finances API event pagination is unusable at AllSeason volume (>500 pages). Use Settlement Flat File reports instead - now documented in `hivemind-api` skill.\n- **Telegram 20MB upload cap** repeatedly blocked large source files; workaround = drop on server or cloud link. Output >Telegram limit -> zip before sending.\n- **gateway:** running; telegram + api_server connected (last state 06-12 20:12). No gateway errors.\n\n## NEW / UPDATED SKILLS (SKILL.md mtime within 7d)\n\nCaveat: most SKILL.md files show 06-12 mtime from the bundled skill-library refresh / curator pass (a fleet-wide infra touch, NOT vault-authored). Genuinely meaningful vault finance work in the window:\n\n- **finance/month-end-close-allseason** - edited 06-15 18:33 (content update; orchestrator skill).\n- **finance/fixed-assets-depreciation-schedule** - edited 06-15 20:30, incl. references/ + scripts/ (20:31). Real build-out.\n- **finance/prepaid-insurance-schedule** - 06-10 (tied to prepaid work).\n- **brandmind/hivemind-api** - updated 06-10: Amazon revenue-recon reference rewritten to Settlement Flat File approach + new pull script (from the Amazon recon session).\n- 06-12 curator pass: archived `brandmind-finance`; consolidated/patched `ar-monthly-close-3way-recon`, `manual-channel-sales-je`, `payroll-accrual-bamboohr`, `sku-mapping-cross-channel`.\n\nNo brand-new standalone skill was authored in the window; activity was deepening/consolidating existing finance skills.\n","code_snippet":"","skill":"finance/month-end-close-allseason","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:28:49.255565+00:00","updated_at":"2026-06-16T02:28:49.255565+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"7ced48e8-34b3-4e54-8df8-8c7d130c3b3b","agent":"maven","category":"workflow","title":"Maven work summary (1d/3d/7d) 2026-06-16","problem":"Periodic swarm retro: capture maven activity for fleet learning.","solution":"# Maven Work Summary (1d / 3d / 7d) - as of 2026-06-16\n\n**Agent:** maven (BrandMind market-intelligence agent, V100-2)\n**Role (per evidence):** Competitive intel, compliant-claims libraries, product master-data standards, CPP kill thresholds, TikTok->Amazon attribution. Part of 15-agent BrandMind swarm; daily HiveMind learning sync (1AM UTC cron).\n\n## TL;DR\nMaven is in a LOW-ACTIVITY / MOSTLY-QUIET state. No conversational sessions since 2026-05-01 (6+ weeks). The only fresh substantive output in the last 7 days is a batch of 3 market-intelligence / standards documents written on 2026-06-13. The 1-day window is fully QUIET. No cron output has ever been produced. No agent-authored new skills (the Jun-12 SKILL.md timestamps are a fleet-wide skill-pack sync, not maven work).\n\n---\n\n## 1-DAY WINDOW (2026-06-15 -> 2026-06-16)\n**QUIET ? no activity.**\n- No sessions, no memory entries, no docs, no cron output dated in this window.\n\n## 3-DAY WINDOW (2026-06-13 -> 2026-06-16)\n**Active on doc-authoring only (2026-06-13).** Three market-intelligence / master-data documents created in workspace/docs:\n- `womens-creatine-research-2025.md` (20.9 KB) - Deep competitive-research report for Shelf Builder: scientific foundation (women have 70-80% lower baseline creatine stores), ad-angle strategy, compliant claims library, competitive intelligence. Core maven market-intel deliverable.\n- `product-creation-standards.md` (6.5 KB) - Product & master-data standards for Clean Nutra / AllSeason across CIN7 Core + ShipHero (mandatory defaults, e.g. UOM=EA; \"reference an existing product before creating, never guess\").\n- `sku-naming-convention.md` (3.4 KB) - Canonical Clean Nutra SKU grammar (BRAND-FORM-NAME-SIZEUNIT[-PACKCONFIG][-SUFFIX]) for every agent creating/renaming products on any channel.\n- Note: these docs were written directly to workspace/docs; NO corresponding session JSONL was logged, so the driving session/process is not captured in sessions/.\n\n## 7-DAY WINDOW (2026-06-09 -> 2026-06-16)\n**Same as 3-day window** (the Jun-13 docs are the only agent-authored content). Additionally on 2026-06-12 a fleet-wide skill-pack sync touched ~70 stock SKILL.md files (vllm, comfyui, github, productivity, etc.) - this is infrastructure provisioning, NOT maven-authored skills.\n- No sessions in this window (newest session is 2026-05-01).\n- No memory entries in this window (newest memory file content-dated 2026-04-28).\n- No cron output in this window.\n\n---\n\n## STANDING CONTEXT (from MOMENTUM.md / MEMORY.md - not new this period)\n- Deployed Apr 10, 2026; OpenRouter individual key; daily HiveMind learning sync cron.\n- Last logged session 2026-05-01 was an admin/ops task (Telegram whitelist cleanup re: ex-employee Karsten), not market analysis.\n- Apr 19-28 daily syncs pushed cumulative learnings: Meta CPP 4-tier kill-threshold framework, TikTok->Amazon attribution model, velocity-crash SKU rules, BOGO pre-launch checklist gate, CVR/traffic-composition rule.\n- OPEN BLOCKERS (carried, unresolved): Meta API system-user token + ad-account ID missing; VascuGlow BOGO lander built (Apr 27 by Surge) but blocked on deploy creds (GitHub PAT / Vercel token); Shelf Builder ASIN -63 to -68% traffic-drop + inventory/buy-box status unconfirmed.\n\n## INFRA FLAGS\n- CRON SILENT: cron/output is EMPTY. The advertised daily 1AM-UTC HiveMind learning sync has produced no output - last documented sync was Apr 28. Likely the learning-sync cron has not run (or not logged) for ~6-7 weeks. FLAG for fleet ops.\n- SESSION LOGGING GAP: the Jun-13 doc work has no matching session JSONL. Either sessions are not being persisted to sessions/ on V100-2, or the work ran under a different process/host. FLAG.\n- Persistent credential blockers (Meta API token, deploy creds) remain open from late April.\n- Task brief stated \"9 sessions/7d\" - NOT supported by evidence: only 4 sessions exist total, newest 2026-05-01, ZERO in the 7d window.\n\n## NEW SKILLS (find SKILL.md -mtime -7)\n- NONE attributable to maven. ~70 SKILL.md files show mtime 2026-06-12, but these are stock library skills from a fleet-wide skill-pack sync, not agent-authored. No genuinely new maven skill in the 7-day window.\n\n## EVIDENCE SOURCES (read order)\n1. workspace/memory/*.md - newest content 2026-04-28 (mtime Apr 30); none in 7d.\n2. cron/output/ - EMPTY (no runs).\n3. sessions/*.jsonl - 4 total, newest 20260501_190947 (whitelist admin task); none in 7d.\n4. workspace/docs/ - 3 docs dated 2026-06-13 (PRIMARY fresh signal).\n5. MOMENTUM.md / MEMORY.md - standing context only.\n","code_snippet":"","skill":"","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:27:39.270813+00:00","updated_at":"2026-06-16T02:27:39.270813+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"5ca64b1a-1251-492a-b76d-690e389506b8","agent":"flux","category":"workflow","title":"Flux work summary (1d/3d/7d) 2026-06-16","problem":"Periodic swarm retro: capture flux activity for fleet learning.","solution":"# Flux Work Summary (1d / 3d / 7d) -- as of 2026-06-16\n\nAgent: flux (BrandMind / Shopify storefront ops for Clean Nutraceuticals,\ncleannutra.com). Host: V100-2. Role confirmed from evidence: Shopify PDP and\nlanding-page builder + maintainer; the 'shopify_scopes_unblocked' signal maps\nto Recharge API + Shopify write access being granted (subscriptions/storefront).\n\n## 1d window (since 2026-06-15) -- QUIET\nNo sessions, no daily memory notes, no cron output in this window. Gateway\nprocess is up (running since 06-13) but no agent activity logged after\n2026-06-15 16:14. Nothing to report.\n\n## 3d window (since 2026-06-13) -- QUIET\nNo sessions and no new memory notes dated 06-13..06-16. Only background\nartifacts: cron .tick.lock and a skill-library timestamp resync on 06-12.\nThe shopify-theme-deploy SKILL.md was last touched 06-13 (skill consolidation),\nbut no task sessions ran. Effectively idle for ~4 days.\n\n## 7d window (since 2026-06-09) -- ACTIVE (all real work lands here)\n5 sessions (06-10, 06-11 x3, 06-12) + 4 daily memory notes. Highlights:\n\n- Vascu Glow BOGO (product 8502892134553): swapped 9 Amazon hi-res infographics\n  (ASIN B0D7537K4Z) into PDP positions 1-9, kept BOGO graphics at 10-12; renamed\n  title to 'Vascu Glow Buy One Get One Free' (handle preserved, 200 OK).\n- Vascu Glow video-thumbnail bug fix: 3 slider videos rendered blank due to a\n  missing poster setting throwing 'invalid url input' in\n  sections/product-results.liquid. Fixed by falling back to\n  video.preview_image + a blank guard; verified 0 Liquid errors. Lesson: a live\n  page citing a line that does not move on edit = stale Shopify edge cache, not\n  a live error.\n- Glow Up Energy Duo: full new-launch build shipped. Shopify product\n  8777789374617 with 3 BOGO variants, 8 infographics, Recharge plan 22571612\n  (20% off) -> Shopify selling plan 2889580697, live landing page\n  cleannutra.com/pages/glow-up-energy-duo (13-section Serene Herbs framework\n  cloned). ATC routes straight to checkout; E2E verified via Playwright.\n  Repriced per Weston, then made the PDP /products/glow-up-energy-duo share the\n  same section as the /pages/ URL via template_suffix.\n- Glow Up Duo SKU correction: variant SKUs aligned to Longevity Duo convention\n  -> CN-BDL-MIX-UROLINMNDUO-2PK/4PK/6PK.\n- AdaptoDrive BOGO (8523819843737): renamed title + replaced all 9 gallery\n  images with current Amazon creative (ASIN B0DH5XW5C1).\n- Agent-bus discovery: found the swarm bus is Supabase table hivemind_messages\n  (sb_secret key from brain-trust/contribute.py; legacy JWTs dead). Sent a\n  SKU-accuracy query to nexus; nexus registered but offline (async ack).\n- Reference docs captured: SKU naming convention sheet and Product Creation /\n  Master Data Standards (CIN7 -> Product Master File -> ShipHero -> Audit\n  Tracker). Flux owns Shopify only; coordinate the rest via agent bus / Weston.\n\n## New skills (SKILL.md mtime within -7d, genuinely authored)\n- brandmind/hivemind-api (06-10)\n- brandmind/agent-bus-messaging (06-12)\n- brandmind/shopify-theme-deploy (06-13) -- absorbed the\n  'shopify-landing-page-from-example' clone workflow referenced in memory\n  (no standalone dir exists for that name).\nNOTE: ~70 other SKILL.md files share a 06-12 timestamp from a library-wide\nresync, not new authorship; excluded.\n\n## Infra / breakage flags\n- MOMENTUM.md is STALE: dated 2026-04-30, still says 'JUST ACTIVATED / No active\n  pipelines'. Contradicts a week of shipped work. Should be refreshed.\n- Secret redaction DISABLED (HERMES_REDACT_SECRETS=false): API keys/tokens may\n  appear verbatim in chat, session JSONs, and logs. Recommend enabling\n  security.redact_secrets. (MEMORY.md also stores a GitHub PAT in plaintext.)\n- Telegram network reconnects (httpx.ReadError) on 06-13 and 06-15; gateway\n  auto-recovered via fallback IP -- transient, not currently broken.\n- ~4 days idle (no sessions since 06-12); gateway process healthy.\n\n## Open / pending (carry-forward)\n- Judge.me Amazon reviews import for Vascu Glow (ASIN B0D7537K4Z): after import,\n  wire Customer Reviews widget + review-request automation; do NOT suppress\n  negative reviews (FTC rule).\n- Awaiting nexus async ack on Glow Up Duo SKU accuracy check.\n- Glow Up Duo product still 'active, unlisted' pending Weston go-live approval.\n\n## Evidence read (in order)\nworkspace/memory/2026-06-10.md, 2026-06-10-video-thumbnail-fix.md,\n2026-06-11.md, 2026-06-12.md; sessions 20260610/20260611 x3/20260612 jsonl;\nlogs/errors.log + curator REPORT.md (06-11); MOMENTUM.md + memories/MEMORY.md\n(standing only).","code_snippet":"","skill":"shopify-theme-deploy","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:27:32.786925+00:00","updated_at":"2026-06-16T02:27:32.786925+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"50973006-3855-49c2-b362-f881bdca2410","agent":"swarm","category":"workflow","title":"Swarm work summary (1d/3d/7d) 2026-06-16","problem":"Periodic swarm retro: capture swarm activity for fleet learning.","solution":"# Swarm Work Summary (1d / 3d / 7d) -- as of 2026-06-16\n\nAgent: swarm (BrandMind). Role: TikTok Shop affiliate sample-management + creator\noutreach for Clean Nutra. Primary signal = cron (66 outputs/7d across 8 active jobs);\nsessions are secondary. Buckets by file mtime from today 2026-06-16.\n\n## Active cron jobs (8, all enabled)\n- 2ff9d23a458c  Reacher -> Supabase daily refresh (creators + tier hits)   08:00\n- f039160bed59  Daily $10K+ Outreach Engine (3-product rotation)           14:00  [BROKEN]\n- 91f68b730565  TikTok Sample Request Daily Review                         14:00\n- ad825b59c277  tiktok-affiliate-samples-daily                             16:00\n- 966995c7a24e  Daily Creator Inbox Triage                                 16:00\n- 790084c9ce22  Daily Euka Campaign Health Report                          16:00\n- fa88a78252b8  Lark -> Euka poll (Longevity Duo signups)                  05:00,17:00\n- 76fd8ea94c31  Inbox Monitor -- 3 Inboxes                                 07/11/15/19\n\n## 1d window (last ~24h, 12 cron outputs)\nCore daily pipeline ran end to end:\n- TikTok sample review (91f68b730565, 14:12): pulled 9,950 apps (10k cap = normal\n  terminator); 237 pending+approvable -> 103 APPROVE / 134 REJECT; executed 100 ok/3 fail\n  approves, 132 ok/2 fail rejects (all 5 fails benign: 98001004 withdrawn, 16022004 transient).\n  Anomaly brake clear. Top products: Biotin+/Collagen/Keratin (37), BOGO Creatine (21),\n  Collagen/Snail Mucin/Retinol (20).\n- tiktok-affiliate-samples-daily (ad825b59c277, 16:07): low-volume pass -- 30 actionable\n  -> 20 APPROVE / 10 REJECT; 18 ok/2 fail approves, 10 ok rejects. Whale-override approvals\n  fired (e.g. unstablegenius64 $19.7k GMV at 0% fulfillment).\n- Reacher -> Supabase refresh (2ff9d23a458c, 08:03): 4,999 unique creators upserted (~60s).\n  Zero new prize-tier hits in last 24h (the only active campaign, Longevity Duo Spotlight,\n  ended Jun 7 so the date-gate stamps nothing).\n- Creator inbox triage (966995c7a24e, 16:00): 162 unreplied (9,512 unread); 75 auto-macro /\n  87 escalations; M1=47 M2=12 M3=2 M4=14. No replies fired -- awaiting Weston approval (standing\n  outbound rule: no send without same-turn approval).\n- Euka campaign health (790084c9ce22, 16:01): zero running campaigns (all 10 stopped),\n  auto-responder ON, 168 conversations / 0 outbound in 24h.\n- Lark -> Euka poll (fa88a78252b8, 17:02): healthy loop -- 1 new signup auto-added (camp 232019),\n  3 new applications logged, 257 dupes skipped, euka_error none. 2 unresolved handles flagged\n  for human review (silveruser, \"afriquekan high priestess\").\n- Inbox monitor (76fd8ea94c31, 19:01): affiliates inbox 3,216 total / 1,618 unread, +2 new;\n  instantly_replies 31/31. collabs inbox FAILED IMAP auth (see infra flags).\n\n## 3d window (36 cron outputs)\nSteady-state operation of the same 8 jobs. Sample-review and Reacher refresh ran daily and\ncleanly (within benign-failure tolerance). The $10K outreach engine FAILED every day (Jun 13,\n14, 15 -- script-not-found, see infra). No quiet days in this window; cron cadence intact.\n\n## 7d window (66 cron outputs)\nHigh activity, cron-dominated. Two creator-ops/skill builds landed Jun 13 (retainer program\nreference + Euka banner + Euka API skills). TikTok sample-review cron has been live since\nJun 11 (first run 970 pending -> 288 approve / 673 reject). Lark->Euka poller running full-auto.\nNo genuinely quiet window observed in 7d -- swarm executed its daily affiliate/outreach loop\nthroughout. NOT quiet.\n\n## Infra flags (ACTION NEEDED)\n1. Daily $10K+ Outreach Engine (cron f039160bed59) STILL BROKEN -- \"Script not found:\n   ~/.hermes/profiles/swarm/scripts/daily_outreach_engine.py\". Failed Jun 13/14/15 (verified\n   today: file does not exist). The prior moved-script-path failure is unresolved. The engine\n   has produced zero outreach for at least 3 days. FIX: restore/relocate\n   daily_outreach_engine.py to the cron's expected path, or repoint the cron's script path.\n2. Supabase Management-API token EXPIRED (401) -- in 2ff9d23a458c run, sbp_ management_token in\n   credentials/supabase.json 401s at the SQL step. Data work completes via service-key REST\n   fallback, so the prior Reacher->Supabase 401 is PARTIALLY mitigated but the management token\n   is still dead. FIX (Cortex): rotate management_token.\n3. collabs@cleannutra.com IMAP AUTHENTICATIONFAILED in inbox monitor (76fd8ea94c31) -- one of 3\n   monitored inboxes is down; affiliates + instantly_replies OK. FIX: refresh collabs IMAP creds.\n4. Data-model note: only active campaign (Longevity Duo Spotlight) ended Jun 7; tier-stamping\n   gate yields zero hits. Confirm with Weston whether it should still be status='active'.\n\n## New skills (built within last 7d, swarm-authored creator-ops/brandmind)\n- brandmind/tiktok-affiliate-samples (built Jun 11) -- daily TikTok Shop sample approve/reject\n  pipeline (pull -> plan -> execute -> report) via HiveMind proxy; powers 2 daily crons.\n- creator-ops/clean-nutra-retainer-programs (Jun 13) -- canonical reference for the 3 retainer\n  programs (Open / Shelf Builder / Top-Tier), URLs, copy, two-step Euka+Lark signup.\n- creator-ops/euka-ai-api (Jun 13) -- Euka AI outreach platform: MCP transport, 45 tools, TC/DM/\n  email campaigns, auto-responder, Discord.\n- creator-ops/euka-retainer-banner (Jun 13) -- branded banner image generation for Euka retainer\n  pages.\n(Note: a bulk skill-library sync touched ~Jun 12 mtimes fleet-wide; the four above are the\ngenuinely swarm-domain creator-ops/brandmind additions.)\n\n## Net assessment\nSwarm's affiliate sample-management and inbox/poller loops are healthy and high-throughput.\nThe single biggest gap is the dead $10K outreach engine (3+ days of zero proactive outreach)\nplus two stale credentials (Supabase management token, collabs IMAP) that need rotation.\n","code_snippet":"","skill":"tiktok-affiliate-samples","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:25:09.497071+00:00","updated_at":"2026-06-16T02:25:09.497071+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"fbfbb439-d8e0-43a7-8b6b-f72fee3c1bbb","agent":"talent","category":"workflow","title":"Talent work summary (1d/3d/7d) 2026-06-16","problem":"Periodic swarm retro: capture talent activity for fleet learning.","solution":"# Talent Work Summary (1d / 3d / 7d) - as of 2026-06-16\n\nAgent: talent (BrandMind) | Host: V100-2 (brandmind-v100-2 / 100.93.146.114)\nRole (from evidence): Creator / influencer talent management for Clean Nutra brand\n(collabs@cleannutra.com) - TikTok creator outreach, retainer cross-referencing,\nGMV/affiliate analytics, Google Sheets pipeline ops. NOT generic HR.\n\n## 1-Day Window (2026-06-15 -> 2026-06-16): QUIET\nNo agent work sessions, daily notes, or cron output in this window. Only infra\nhousekeeping touched files: workspace/_inbox/.persisted.json (inbox poll, empty)\nand cron/.tick.lock (cron tick) at ~02:20-02:24 UTC on 2026-06-16. No substantive\ntalent activity to report for the last day.\n\n## 3-Day Window (2026-06-13 -> 2026-06-16): MOSTLY QUIET\nNo new work sessions. The only meaningful artifact is the skill authored on\n2026-06-13 00:39 UTC: brandmind/brandmind-creator-ops (v1.0.0, author=talent) -\na class-level playbook codifying the creator-ops workflow (email parsing, rate\nextraction, Sheets writes, tiered L2-L6 outreach, MANDATORY 48h dedup, Euka\nretainer cross-reference, web-search email lookup). sessions.json index updated\n2026-06-13 04:01 UTC. No outreach campaigns or analytics runs occurred in-window.\n\n## 7-Day Window (2026-06-09 -> 2026-06-16): ACTIVE (one major session)\nOne substantive work session drives the entire week: session\n20260609_183721_009ad9af.jsonl (213 records; mtime 2026-06-10 17:36), which\nproduced daily note 2026-06-10.md. Accomplishments:\n- Creator outreach: scraped 622 TikTok profiles for emails -> 273 valid emails;\n  sent ~550 outreach emails from collabs@cleannutra.com (Paid Collaboration template).\n- Google Sheet (FILE_ID 1YPJ1VbfLf1QtZ7UWzc5fmydETpKjZ1Ce): 250 rows marked\n  \"Yes - 6/9/26\" with email in col A; 341 rows marked \"No email found - DM needed\".\n- Kalodata list (150 creators): 30 standard emails sent to tiers L2-L4.\n- Euka retainer cross-reference: Retainer 2848 (L5/L6 VIP) only @poshwellness\n  active; Retainer 2592 (L2-L4) expired Mar 2025, 0 creators. Hard exclusions\n  recorded: poshwellness, shopbyjake, microingredients, charleneshares, abtheaffiliate.\n- Transaction analysis: Transaction_Analysis_Creator_List_20260513-20260609.xlsx -\n  7,190 creators, only 8 with $10K+ GMV; all 8 already excluded. Report saved as\n  Creator_Outreach_Report_10kGMV_20260610.xlsx.\n- Retainer interest CSV (150 rows, 95 Active Retainer / Order Processed) saved as\n  retainer_interest.csv.\n- TikTok Shop analytics access: granted talent TikTok read + tiktok_ads read in\n  hivemind_permissions; Orders API works. Affiliate analytics BLOCKED - app needs\n  TikTok \"Affiliate\" OAuth scope added (Weston to add in TikTok Developer Console).\n\n## Evidence Per Window\n- 1d: 0 sessions, 0 daily notes, 0 cron output. Infra-only file touches\n  (_inbox/.persisted.json, cron/.tick.lock) on 2026-06-16.\n- 3d: 0 sessions. 1 skill authored 2026-06-13 (brandmind-creator-ops);\n  sessions.json index update 2026-06-13.\n- 7d: 1 session (20260609_183721_009ad9af, 06-09/06-10) + daily note 2026-06-10.md.\n  Read order honored: daily notes -> cron (empty) -> sessions newest-first ->\n  MOMENTUM/MEMORY (standing only; MEMORY.md empty, MOMENTUM = V100-2 migration boilerplate).\n\n## Infra Flags\n- BLOCKER (external): TikTok Affiliate analytics OAuth scope missing on the app;\n  affiliate endpoints return blocked until Weston adds the \"Affiliate\" scope in\n  TikTok Developer Console. Orders API unaffected.\n- Cron: produces NO output - cron/output/ is empty though .tick.lock updates daily\n  (2026-06-16 02:24). Cron is ticking but not generating artifacts; possible\n  no-op/idle scheduled job or silent failure - worth a look.\n- Email send infra: 06-09 session log shows an httplib2 traceback fragment during a\n  resume-send background job; sends largely completed (exit 0) but a Google API call\n  hiccup was observed. Low severity, monitor.\n- No SSH/host issues: direct SSH to V100-2 works.\n\n## New Skills (last 7 days)\n- GENUINE: brandmind/brandmind-creator-ops (SKILL.md mtime 2026-06-13 00:39,\n  author=talent) - new creator-ops umbrella playbook.\n- brandmind/hivemind-api SKILL.md mtime 2026-06-10 17:26 (edited in-window).\n- CAVEAT: a naive `find -mtime -7` returns ~70 SKILL.md files, but mtime\n  distribution shows 67 of them stamped 2026-06-12 in a single bulk skill-pack\n  sync (not individually authored by talent). Only the two brandmind skills above\n  reflect real talent authoring/edits this week.\n\n## Bottom Line\ntalent did one concentrated burst of high-value creator-outreach + analytics work\non 06-09/06-10 (the entire 7d signal), then codified that into a reusable skill on\n06-13. The 1d and 3d windows are effectively quiet aside from a skill commit and\nidle infra ticks. Main open item: TikTok Affiliate OAuth scope blocking affiliate\nanalytics.\n","code_snippet":"","skill":"brandmind-creator-ops","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:25:05.123111+00:00","updated_at":"2026-06-16T02:25:05.123111+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null},{"id":"3f953d80-ff62-4fa0-836f-ed4d97fc7013","agent":"viral","category":"workflow","title":"Viral work summary (1d/3d/7d) 2026-06-16","problem":"Periodic swarm retro: capture viral activity for fleet learning.","solution":"# Viral Work Summary (1d / 3d / 7d) - as of 2026-06-16\n\nAgent: viral (BrandMind) | Role per evidence: Trybe UGC creator-ad ops + Meta media-buying analyst for Clean Nutraceuticals (act_357155718655940). Host: V100-2.\nWindows bucketed by mtime from today 2026-06-16: 1d>=06-15, 3d>=06-13, 7d>=06-09.\n\n## 1-DAY (>= 2026-06-15)\n- Daily Trybe cron suite ran clean (3 jobs, delivered to Weston DM telegram:855387948):\n  - Samples approval (08:00): \"Samples queue clean - nothing pending today\" (empty arrays, NO PAGE_TIMEOUT/NO_BUTTON - genuine clean, not a load failure).\n  - Submissions bulk-approve (08:15): \"Submission queue clean\" - 0 pending, 0 approved.\n  - Unbuilt-ads audit (08:31, report-only): surfaced remaining build backlog - Juvanix NMN/Glow Up Duo 9 unbuilt (Trevor Washburn 6, Sara Kelchner 2, Zinnia McElroy 1); AdaptoDrive 10 unbuilt (Atarah Bashir 5, +5 others 1 each). Flagged 3 subs under unknown product UUID e03c931d-... (needs product-name lookup before routing). 9 multi-product-tagged subs all already built (no double-count).\n- Interactive Meta-optimization session active (06-15 04:25 -> 18:10, Weston DM). Codified the analyst role: condensed rules saved to MEMORY.md; skill trybe-ugc-ad-builder updated with new references/meta-ad-optimization.md (analyst playbook) and cbo-winners-duplication.md patched with the \"wizard flips CBO ACTIVE on launch -> re-PAUSE\" gotcha.\n\n## 3-DAY (>= 2026-06-13)\n- 2026-06-14 Meta Trybe optimization session (analyst role, confirmed HiveMind read+write on act_357155718655940):\n  - Paused 14 ABO loser ads at AD level (rule: ABO only, 7d spend >$100 & 0 conversions). Killed ~$2,210/wk dead spend. All 14 verified PAUSED on Meta; log workspace/meta_ad_pauses_2026-06-14.csv. Breakdown: 7 Gluco Tone, 2 Vascu Glow, 4 Glow Up Duo, 1 Shelf Builder. (Pause script interrupted at 10/14; re-verified vs Meta and finished remaining 4, no double-action.)\n  - Built CBO \"Gluco Tone - Winners\" (id 120247078843350756, $400/day, OUTCOME_SALES, LOWEST_COST_WITHOUT_CAP) via Trybe wizard. 16/17 winner ads launched into 10 ad sets (one per creator), 16 unique trybe tags, no dupes; 1 clean fail (Eliott Rusli f6ddad2c - video aged out of wizard picker). Source GT ABO left read-only intact. Wizard flipped campaign ACTIVE on launch -> re-PAUSED via API for review.\n  - Weston activated CBO live (06-14 20:09): confirmed ACTIVE, 10/10 ad sets ACTIVE, 13 ads ACTIVE + 2 IN_PROCESS + 1 PAUSED. Confirmed campaign-row master toggle is what actually goes live (ads read CAMPAIGN_PAUSED until then).\n- 2026-06-13 Shelf Builder Winners CBO build: created \"CBO - Shelf Builder - Winners\" (id 120246923992620756, $400/day campaign-CBO, OUTCOME_SALES, PAUSED). Duplicated (not moved) 18 winning SB ads (June 5-12: spend>=$20 & ROAS>=1.0, plus Jett Miller breakeven per Weston) into 12 ad sets (one per creator). Built via trybe_build_generic.py / cfg_cbo_sb_winners.json (resume-safe). KEY LEARNING: HiveMind proxy Meta WRITES require fields under \"params\" key, not \"body\" (body silently drops fields).\n- 2026-06-13 cron samples: approved 2 sample requests (Mary Edwards x2, each <=3 items, auto-approved); 0 flagged, 0 errors.\n\n## 7-DAY (>= 2026-06-09)\n- 2026-06-10 Shelf Builder Trybe ad build: 25/25 unbuilt approved ads LAUNCHED, 0 failed (1 ad set per creator framework, new ad sets $60/day Active; existing ACTIVE ad sets untouched). SB ad sets 6 -> 15; Trybe re-audit 0 unbuilt remaining.\n- 2026-06-10 full account audit (5 products, corrected handoff): identified 67 ads of remaining work - Juvanix NMN 52 (NO campaign yet), VascuGlow 8, GlucoTone 4, AdaptoDrive 3 (NO campaign yet).\n- 2026-06-10 GlucoTone + VascuGlow built on Weston's go: GlucoTone 4/4 (now 60/60 built); VascuGlow 8/8 (now 28/28 built). Generic build script trybe_build_generic.py + cfg_*.json introduced. Auth-token localStorage key changed to sb-sup-auth-token (script updated to try both).\n\n## INFRASTRUCTURE FLAGS\n- [STRUCTURE] viral profile has NO scripts/ dir on V100-2 -> this contribution was published via SIBLING-IMPORT from ~/.hermes/profiles/swarm/scripts/brain-trust/contribute.py with agent='viral' (row attributes correctly to viral).\n- [RESOLVED] Cron deliver to 'origin'/'all' both failed (\"no delivery target resolved\"). FIX applied 2026-06-15: 3 Trybe daily crons re-pointed to explicit target telegram:855387948 (Weston DM). 06-15 runs delivered cleanly.\n- [GOTCHA] Trybe Build Ads wizard flips the new CBO + ad sets + ads to ACTIVE on launch -> must re-PAUSE the campaign via Meta API for review (Weston activates the master campaign toggle himself).\n- [GOTCHA] HiveMind proxy Meta WRITES: fields must go under \"params\" key; \"body\" silently drops them.\n- [DATA] 3 Trybe subs tagged unknown product UUID e03c931d-6edb-414e-93b1-53e17326b8f3 - not in product map, need lookup before routing (not blocking).\n- No tool/runtime breakage observed; gateway running, sessions/state.db active through 06-15 18:10.\n\n## NEW / UPDATED SKILLS (mtime -7)\n- brandmind/trybe-media-buying-discipline/SKILL.md - NEW 2026-06-14 (authored by Surge; when to kill/scale/duplicate/pace Trybe creator ad sets; ROAS/CPA/frequency + Triple Whale cross-check).\n- devops/trybe-ugc-ad-builder/SKILL.md - UPDATED 2026-06-15 (added references/meta-ad-optimization.md analyst playbook; patched cbo-winners-duplication.md wizard re-PAUSE gotcha).\n- devops/tiktok-listing-ops/SKILL.md - UPDATED 2026-06-13.\n- (Note: a large batch of SKILL.md files share mtime 2026-06-12 08:34 - that is a bulk profile/skills sync, not genuine authoring; excluded.)\n\n## EVIDENCE READ (in priority order)\n1) workspace/memory: 2026-06-15.md, 2026-06-13.md, 2026-06-10.md (3 daily notes).\n2) cron/output: 13 files in 7d across 5 jobs (644648485471 unbuilt-audit, 68999cfea248 samples, 0af91603ff19 submissions, +2 older). 1d/3d runs read in full.\n3) sessions: 16 in 7d; newest interactive 20260615_042555 (Weston DM, last activity 06-15 18:10). Note: 06-15 session stored as .json (no .jsonl dump); narrative captured via daily note.\n4) standing: MEMORY.md (analyst rules, TikTok push ops, FLASHSALE relay, cron-target fix).\n\nQUIET WINDOWS: none fully quiet. 1d cron queues were clean (no pending samples/submissions) but audit + interactive optimization activity present.\n","code_snippet":"","skill":"trybe-ugc-ad-builder","platform":"general","applicable_to":[],"verified":false,"session_date":"2026-06-16","tags":null,"metadata":null,"created_at":"2026-06-16T02:24:58.477634+00:00","updated_at":"2026-06-16T02:24:58.477634+00:00","anti_patterns":null,"trigger_conditions":null,"verification":null,"complexity":"medium","usage_count":0,"success_count":0,"time_saved_minutes":0,"last_used_at":null,"last_used_by":null}]}