Claude Cursor Skill

agenttrace-session-audit

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

LLM Mart · 0 points · 2 views 0 listing impressions 0 install-command copies
Virus-scanned Reviewed automatically before listing.

Full trust report

Download davepoon-buildwithclaude-plugins_all-skills_skills_agenttrace-session-audit-a6c484b.zip · 1 KB
Part of davepoon/buildwithclaude — 187 skills

Install

skills CLI npx skills add https://github.com/davepoon/buildwithclaude/tree/main/plugins/all-skills/skills/agenttrace-session-audit
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install davepoon-buildwithclaude@llmmart
Git git clone https://github.com/davepoon/buildwithclaude.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole davepoon/buildwithclaude collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

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:
agenttrace --doctor
agenttrace --overview
  1. For a fast human report, use Markdown:
agenttrace --overview -f markdown -o agenttrace-overview.md
  1. For automation or CI, use JSON or health gates:
agenttrace --overview -f json -o agenttrace-overview.json
agenttrace --overview --fail-under-health 80 --fail-on-critical --max-tool-fail-rate 15
  1. For a single recent session:
agenttrace --latest
agenttrace --latest -f json
  1. For a specific export or session directory:
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 step.
  • Report the session capability level (Detailed, Aggregate, or Limited) before relying on latency or step evidence.
  • Treat Tool Steps as metadata-only evidence. Do not imply that Aggregate or Limited sources have a complete execution trace.

Guardrails

  • Treat prompts, code, and session contents as local/private data. Do not upload logs to external services.
  • Do not invent metrics. If a parser cannot infer cost, model, or latency, say which field is missing.
  • Do not compare missing event-level evidence as zero latency or zero failures; mark it unavailable.
  • Do not overwrite user reports unless the user asked for that output path.
Files (buildwithclaude)
  • SKILL.md 2.4 KB
    ---
    name: agenttrace-session-audit
    description: Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
    category: observability
    license: MIT
    requires:
      bins: [agenttrace]
    ---
    
    # 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 step.
    - Report the session capability level (`Detailed`, `Aggregate`, or `Limited`) before relying on latency or step evidence.
    - Treat Tool Steps as metadata-only evidence. Do not imply that Aggregate or Limited sources have a complete execution trace.
    
    ## Guardrails
    
    - Treat prompts, code, and session contents as local/private data. Do not upload logs to external services.
    - Do not invent metrics. If a parser cannot infer cost, model, or latency, say which field is missing.
    - Do not compare missing event-level evidence as zero latency or zero failures; mark it unavailable.
    - Do not overwrite user reports unless the user asked for that output path.
    

Comments (0)

Sign in to join the conversation.

No comments yet.

Reviews (0)

No reviews yet.

Related