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Claude-Code-Monitor/plugins/ccam-insights/commands/anomalies.md
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nntrivi2001 57dc91585d feat: Claude Code Monitor — lanes, pipelines and a merged workspace
Internal SmartGift build of a Claude Code monitoring dashboard.

Lanes: a durable unit of parallel agent work, one per working directory,
tracked across session restarts. Managed lanes are git worktrees the
dashboard provisions and can reset or remove behind a three-check destroy
guard and a counted preflight; adopted lanes are directories you already
own and are never destroyable.

Pipelines: a lane moves through pipeline stages. A stage the agent declares
with evidence renders green; a stage inferred from the tool-event stream
renders dashed amber and never counts as done. Detection is forward-only
within a 30-minute window, and never writes the declared stage.

Workspace: one page at /run with a lane grid, the selected lane's pipeline,
and a full Claude console behind a disclosure.
2026-07-30 14:39:03 +07:00

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---
description: List current cost and token outlier sessions via z-score
argument-hint: "[threshold]"
---
List the current cost/token **outlier** sessions from the Agent Monitor dashboard using a z-score test. **$ARGUMENTS** optionally sets the z-score threshold (default `2.0`; lower = stricter).
1. Fetch the population:
- `curl -s "http://localhost:4820/api/sessions?limit=200"` → a session list; each item has `id`, `status`, `model`, `cwd`, `started_at`, `cost`, and `metadata`.
2. Compute the baseline over all returned sessions:
- Mean and standard deviation of `cost`.
- For sessions where you need token totals, pull `curl -s http://localhost:4820/api/pricing/cost/<id>` and sum `input_tokens + output_tokens + cache_read_tokens + cache_write_tokens`; compute mean and stddev of total tokens too.
3. Flag outliers: any session whose `z = (value mean) / stddev` exceeds the threshold (default 2.0) on cost (primary) or tokens (secondary). Skip the calc gracefully if stddev is 0.
4. Print the flagged sessions, sorted by descending cost z-score:
- Session id (short), model, started_at.
- Cost (USD, 4 decimals) and its z-score.
- Total tokens and its z-score (when fetched).
- A flag tag: 🔴 if z > 3, 🟡 if z > 2.
Output rules: a Markdown table of flagged sessions only; currency in USD to 4 decimals; z-scores to 2 decimals; if nothing exceeds the threshold, say "No cost/token outliers above z=<threshold>" and report the top session by cost for context. Cite only API values — never fabricate. If the dashboard is unreachable at `http://localhost:4820`, tell the user to start it with `npm start` from the repo root.