agenttrace-session-audit
Audit local AI coding-agent sessions with agenttrace for cost, tool failures, latency, anomalies, health, diffs, and CI gates.
newIT & Software Developmentai-codingcost-trackingobservabilitysession-analysis
agenttrace Session Audit
Overview
Use this skill to inspect local AI coding-agent sessions with agenttrace. It focuses on the process behind a run: token and cost spikes, tool failures, retry loops, latency gaps, anomalies, health scores, and session-to-session diffs.
agenttrace is local-first and reads session logs from tools such as Claude Code, Codex CLI, Gemini CLI, Aider, Cursor exports, OpenCode, Qwen Code, Kimi, and generic JSON or JSONL traces.
When to Use This Skill
- Use when a user asks why an AI coding run was slow, expensive, shallow, or unreliable.
- Use when reviewing local agent logs before retrying a failed or suspicious task.
- Use when building a lightweight CI health gate for AI-assisted coding sessions.
- Use when comparing two attempts and looking for changed tool paths, retries, or cost patterns.
How It Works
Step 1: Discover Available Sessions
Prefer an installed agenttrace binary when it is available on PATH. If the current repository is luoyuctl/agenttrace, use go run ./cmd/agenttrace instead.
agenttrace --doctor
agenttrace --overview
If no sessions are detected, report the directories checked by --doctor and ask for the exported session file or log directory.
Step 2: Produce a Human-Readable Audit
Use Markdown when the user wants a concise report they can i
Subscribers only
The full skill, its 1 bundled files and every download is included with every paid Complete AI plan.
Details
| Source | luoyuctl/agenttrace |
|---|---|
| License | MIT |
| Risk label | safe ("critical" means the skill may run commands or touch files — read before use) |
| Files | SKILL.md |
| Added | 2026-05-10 |
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