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Agent skill

Agenttrace Session Audit

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Audit local AI coding-agent sessions with agenttrace. An agent skill from hashgraph-online/awesome-codex-plugins.

MITAuto-check passed

Install Agenttrace Session Audit

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill agenttrace-session-audit -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins agenttrace-session-audit --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/luoyuctl/agenttrace/skills/agenttrace-session-audit .claude/skills/agenttrace-session-audit && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agenttrace-session-audit
GitHub stars
1.2k
Token cost
~570 tokens
SKILL.md length
210 words
Files
1
Skills in repo
686
Repo updated
First seen
Licence
MIT

At a glance

Audit local AI coding-agent sessions with agenttrace. An agent skill from hashgraph-online/awesome-codex-plugins.

  • Works in 7 steps: Prefer the installed agenttrace binary… → If the binary is not available and the… → Start with discovery unless the user… → …
  • The user asks to inspect Claude Code
  • SKILL.md covers Workflow, Report Focus and Guardrails
  • Calls go

What it does

Agenttrace Session Audit is an agent skill from hashgraph-online/awesome-codex-plugins. Audit local AI coding-agent sessions with agenttrace. Use when the user asks to inspect Claude Code, Codex CLI, Gemini CLI, Qwen Code, Cline, Aider, Cursor exports, Hermes Agent, OpenCode, OpenClaw, Pi, Oh My Pi, Kimi CLI, Copilot-style logs, or generic JSON/JSONL traces for cost, tokens, tool failures, latency, anomalies, health, diffs, or CI gates.

Its SKILL.md is about 570 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Kimi and Qwen. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • The user asks to inspect Claude Code
  • Copilot-style logs
  • Generic JSON/JSONL traces for cost

Example prompts

  • “/agenttrace-session-audit”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  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 go run ./cmd/agenttrace.
  3. Start with discovery unless the user gave a specific file or directory
  4. For a fast human report, use Markdown
  5. For automation or CI, use JSON or health gates
  6. For a single recent session
  7. For a specific export or session directory

What it can do on your machine

Read from SKILL.md and the folder at commit 78497e5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • go

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agenttrace Session Audit loads about 570 tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 210 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~570

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its MIT licence (© hashgraph-online). 210 words, ~570 tokens.

Download SKILL.mdSave it as .claude/skills/agenttrace-session-audit/SKILL.md (or your agent's skills folder).
name
agenttrace-session-audit
description
Audit local AI coding-agent sessions with agenttrace. Use when the user asks to inspect Claude Code, Codex CLI, Gemini CLI, Qwen Code, Cline, Aider, Cursor exports, Hermes Agent, OpenCode, OpenClaw, Pi, Oh My Pi, Kimi CLI, Copilot-style logs, or generic JSON/JSONL traces for cost, tokens, tool failures, latency, anomalies, health, diffs, or CI gates.
license
MIT
metadata.short-description
Audit AI agent session health

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 go run ./cmd/agenttrace.
  3. Start with discovery unless the user gave a specific file or directory:
bash
agenttrace --doctor
agenttrace --overview
  1. For a fast human report, use Markdown:
bash
agenttrace --overview -f markdown -o agenttrace-overview.md
  1. 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
  1. For a single recent session:
bash
agenttrace --latest
agenttrace --latest -f json
  1. 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.

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 overwrite user reports unless the user asked for that output path.

© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/luoyuctl/agenttrace/skills/agenttrace-session-audit of hashgraph-online/awesome-codex-plugins.

Open the folder on GitHubat commit 78497e5

Compare with similar skills

Agenttrace Session Audit next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agenttrace Session Audit compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agenttrace Session Audit this skillhashgraph-online/awesome-codex-plugins1.2k—~570Automated safety check: PassMIT
Agenttrace Session Auditluoyuctl/agenttrace1401 repos~656Automated safety check: PassMIT
Crossreviewcoddy-project/coddy-agent167—~3.3kAutomated safety check: PassMIT
Model Architecture Diagram FinderBBuf/AI-Infra-Auto-Driven-SKILLS911—~1.2kAutomated safety check: PassNone
Agfsubinium/agf156—~1.3kAutomated safety check: PassMIT
Open Dynamic Workflowsxz1220/open-dynamic-workflows104—~2kAutomated safety check: PassMIT

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Works with

Questions about Agenttrace Session Audit

What does Agenttrace Session Audit do?

Audit local AI coding-agent sessions with agenttrace. An agent skill from hashgraph-online/awesome-codex-plugins. Agenttrace Session Audit is an agent skill from hashgraph-online/awesome-codex-plugins. Audit local AI coding-agent sessions with agenttrace.

When should I use Agenttrace Session Audit?

Agenttrace Session Audit fits situations like: the user asks to inspect Claude Code; copilot-style logs; generic JSON/JSONL traces for cost.

How do I install Agenttrace Session Audit in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill agenttrace-session-audit -a claude-code`. Or copy the skill folder (plugins/luoyuctl/agenttrace/skills/agenttrace-session-audit in hashgraph-online/awesome-codex-plugins) into .claude/skills/agenttrace-session-audit in your project. Claude Code loads it when a task matches its description.

How do I install Agenttrace Session Audit in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill agenttrace-session-audit -a codex`. Or copy the skill folder (plugins/luoyuctl/agenttrace/skills/agenttrace-session-audit in hashgraph-online/awesome-codex-plugins) into .agents/skills/agenttrace-session-audit in your project. Codex loads it when a task matches its description.

Can I use Agenttrace Session Audit in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill agenttrace-session-audit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agenttrace-session-audit, .gemini/skills/agenttrace-session-audit, .github/skills/agenttrace-session-audit and .opencode/skills/agenttrace-session-audit in your project.

What does Agenttrace Session Audit need to run?

Going by SKILL.md and its folder, Agenttrace Session Audit needs the command-line tools its instructions call (go).

Does Agenttrace Session Audit access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agenttrace Session Audit safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agenttrace Session Audit use?

Agenttrace Session Audit is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agenttrace Session Audit use?

About 570 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agenttrace Session Audit?

Skills that share tags, products or a category with Agenttrace Session Audit: Agenttrace Session Audit (luoyuctl/agenttrace, 140 stars), Crossreview (coddy-project/coddy-agent, 167 stars), Model Architecture Diagram Finder (BBuf/AI-Infra-Auto-Driven-SKILLS, 911 stars) and Agf (subinium/agf, 156 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agenttrace Session Audit?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.