Agenttrace Session Audit

CommunityPopular

davepoon

agenttrace-session-audit

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

Overview

Publisher	davepoon
Repository	`buildwithclaude`
Skill name	`agenttrace-session-audit`
Stars	3.5K
Forks	509
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by davepoon on GitHub. Read the source before you install it.

Installation

Install the Agenttrace Session Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/davepoon/buildwithclaude/tree/main/plugins/all-skills/skills/agenttrace-session-audit

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/davepoon/buildwithclaude.git /tmp/buildwithclaude
mkdir -p .claude/skills
cp -r /tmp/buildwithclaude/plugins/all-skills/skills/agenttrace-session-audit .claude/skills/agenttrace-session-audit

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agenttrace Session Audit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agenttrace Session Audit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agenttrace Session Audit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Prefer the installed agenttrace binary when it is available on PATH.
If the binary is not available and the current directory is the luoyuctl/agenttrace repository, use cargo run -q -p agenttrace --.
Start with discovery unless the user gave a specific file or directory:

bash
agenttrace --doctor
agenttrace --overview

For a fast human report, use Markdown:

bash
agenttrace --overview -f markdown -o agenttrace-overview.md

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

For a single recent session:

bash
agenttrace --latest
agenttrace --latest -f json

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.

Frequently asked questions

What does the Agenttrace Session Audit AI skill do?

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

Why use Agenttrace Session Audit on TypingMind?

Because you install it once and use it with any model. Agenttrace Session Audit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agenttrace Session Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davepoon/buildwithclaude/tree/main/plugins/all-skills/skills/agenttrace-session-audit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agenttrace Session Audit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agenttrace Session Audit?

As many as you like. As long as a model supports skills, you can use Agenttrace Session Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agenttrace Session Audit AI skill free?

Yes. It is published on GitHub by davepoon under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

agenttrace Session Audit

Workflow

Report Focus

Guardrails

Frequently asked questions

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