agenttrace-session-audit

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Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.

AI & Automation 3,438 stars 500 forks Updated 2 days ago MIT

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Skill Content

# agenttrace Session Audit Use this skill when session logs need an operational read: spend, token burn, cache use, tool failures, retry loops, latency, health, anomalies, and CI gate readiness. ## Workflow 1. Prefer the installed `agenttrace` binary when it is available on `PATH`. 2. If the binary is not available and the current directory is the `luoyuctl/agenttrace` repository, use `cargo run -q -p agenttrace --`. 3. Start with discovery unless the user gave a specific file or directory: ```bash agenttrace --doctor agenttrace --overview ``` 4. For a fast human report, use Markdown: ```bash agenttrace --overview -f markdown -o agenttrace-overview.md ``` 5. For automation or CI, use JSON or health gates: ```bash agenttrace --overview -f json -o agenttrace-overview.json agenttrace --overview --fail-under-health 80 --fail-on-critical --max-tool-fail-rate 15 ``` 6. For a single recent session: ```bash agenttrace --latest agenttrace --latest -f json ``` 7. For a specific export or session directory: ```bash agenttrace path/to/session-or-export.json agenttrace --overview -d path/to/session-dir ``` ## Report Focus - Lead with the highest-risk sessions and the reason they matter. - Call out token/cost waste, repeated tool failures, retry loops, long gaps, and low health scores. - When proposing a CI gate, include the exact `agenttrace` command and threshold. - If no sessions are detected, run `agenttrace --doctor` and report the detected agent directories and next ste...

Details

Author
davepoon
Repository
davepoon/buildwithclaude
Created
1 years ago
Last Updated
2 days ago
Language
Python
License
MIT

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