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Agent skill

Audit Agent Onboarding

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

A skill your agent uses to lint a repo's agent onboarding files (AGENTS.md, CLAUDE.md, .claude/rules/.md) for bloat, contradictions, duplication, stale or vague commands, missing sections, leakage…

Apache-2.0Auto-check passedAgent Workflows

Install Audit Agent Onboarding

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

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins audit-agent-onboarding --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/gustavo-meilus/aiboarding/skills/audit-agent-onboarding .claude/skills/audit-agent-onboarding && 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
audit-agent-onboarding
GitHub stars
1.3k
Token cost
~969 tokens
SKILL.md length
389 words
Files
1
Skills in repo
714
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses to lint a repo's agent onboarding files (AGENTS.md, CLAUDE.md, .claude/rules/.md) for bloat, contradictions, duplication, stale or vague commands, missing sections, leakage…

  • Works in 7 steps: Duplication - imported or README content… → Contradictions - instructions whose… → Stale commands - only commands validator… → …
  • Lint a repos agent onboarding files (AGENTS.md
  • SKILL.md covers --stats: compression receipts, Evidence-aware audit and Report
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Audit Agent Onboarding is an agent skill from hashgraph-online/awesome-codex-plugins. Use to lint a repo's agent onboarding files (AGENTS.md, CLAUDE.md, .claude/rules/.md) for bloat, contradictions, duplication, stale or vague commands, missing sections, leakage, and secrets - or with --stats to view compression receipts. Read-only; reports findings and hands fixes to update-agent-onboarding.

Its SKILL.md is about 970 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Agent instruction files and Linting and formatting. 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 Apache-2.0.

When your agent uses it

  • Lint a repos agent onboarding files (AGENTS.md
  • .claude/rules/.md) for bloat
  • Missing sections
  • With --stats to view compression receipts

Example prompts

  • “/audit-agent-onboarding”

Workflow steps

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

  1. Duplication - imported or README content restated meaningfully.
  2. Contradictions - instructions whose scope or intent conflicts.
  3. Stale commands - only commands validator cannot prove absent.
  4. Vague commands - imperative guidance lacking usable invocation.
  5. Missing sections - absent guardrail or verification guidance, not headings alone.
  6. Skill/lint leakage and rules extraction candidates - ownership and scope need judgment.
  7. Unsafe content - secrets and destructive-command framing need context; do not quote secrets.

What it can do on your machine

Read from SKILL.md and the folder at commit 9e7b281. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Audit Agent Onboarding loads about 969 tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 389 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~969

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 9e7b281, republished under its Apache-2.0 licence (© hashgraph-online). 389 words, ~969 tokens.

Download SKILL.mdSave it as .claude/skills/audit-agent-onboarding/SKILL.md (or your agent's skills folder).
name
audit-agent-onboarding
description
Use to lint a repo's agent onboarding files (AGENTS.md, CLAUDE.md, .claude/rules/*.md) for bloat, contradictions, duplication, stale or vague commands, missing sections, leakage, and secrets - or with --stats to view compression receipts. Read-only; reports findings and hands fixes to update-agent-onboarding.

Auditing agent onboarding files

Static + cross-reference linter for instruction-file smells. Read-only: this skill never writes files. It produces a findings report; applying fixes is update-agent-onboarding's job (content) or the user's (structure).

Announce at start: "Using audit-agent-onboarding to lint the onboarding files."

Usage: audit-agent-onboarding [--stats]

--stats: compression receipts

Read .aiboarding/state.json:receipts and render a table: file, level, bytes and lines before/after, percent saved, measured-at. Label token figures approximate when the receipt does (they are byte/4 estimates unless a real tokenizer produced them). Since instruction files load every session, per-session savings compound - present "per-session saved × sessions" only as a clearly labeled estimate. For each receipt, render optional high_consequence_regions evidence as location, category, outcome (preserved or rewritten), and explicit opt-in status, without instruction text. Render an empty array as none; when field is absent, render not recorded. Keep existing level, byte, line, date, and token output unchanged. Then stop.

Evidence-aware audit

Run .aiboarding/tools/audit-onboarding-evidence <repo-root> first (fallback: the plugin's templates/tools/audit-onboarding-evidence). Capture its lines and exit status. Exit 0 means no computed FAIL; 1 means computed validation FAIL; 2 is an operational error: stop and report tooling failure, never render it as an audit finding. Do not write onboarding files in either case.

Each finding has independent severity (FAIL, WARN, INFO) and provenance (computed, inferred). Preserve validator provenance and render one report ordered FAIL, WARN, INFO. Never upgrade model judgment to computed.

CategoryEvidence
Local size budget; Codex project-chain budget; wrapper integrityComputed
Stale commandsMixed: validator only for explicit paths, package scripts, Make/Just targets; infer unresolved context-dependent cases
Duplication; contradictions; vague commands; missing sections; skill leakage; lint leakage; rules extraction candidates; unsafe contentInferred
Show full SKILL.md (120 more words)Show less

Then review inferred categories and unresolved command references across AGENTS.md, CLAUDE.md, and .claude/rules/*.md:

  1. Duplication - imported or README content restated meaningfully.
  2. Contradictions - instructions whose scope or intent conflicts.
  3. Stale commands - only commands validator cannot prove absent.
  4. Vague commands - imperative guidance lacking usable invocation.
  5. Missing sections - absent guardrail or verification guidance, not headings alone.
  6. Skill/lint leakage and rules extraction candidates - ownership and scope need judgment.
  7. Unsafe content - secrets and destructive-command framing need context; do not quote secrets.

Report

Output findings ordered FAIL → WARN → INFO, each with provenance, file, location, one-line rationale, and concrete fix. Example:

text
FAIL [computed] wrapper-integrity CLAUDE.md:1 — missing @AGENTS.md import; add it.
WARN [computed] size-budget AGENTS.md:1 — 24001 bytes > budget 24000; compress it.
WARN [inferred] vague-commands AGENTS.md:8 — "run tests" lacks invocation; name command.

End with one-line verdict and handoff: content fixes → offer update-agent-onboarding (approval gate applies); compression fixes → compress-onboarding. Suggestions are never auto-applied.

© hashgraph-online, Apache-2.0. 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/gustavo-meilus/aiboarding/skills/audit-agent-onboarding of hashgraph-online/awesome-codex-plugins.

Open the folder on GitHubat commit 9e7b281

Compare with similar skills

Audit Agent Onboarding 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.

Audit Agent Onboarding compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Audit Agent Onboarding this skillhashgraph-online/awesome-codex-plugins1.3k—~969Automated safety check: PassApache-2.0
Agnixagent-sh/agnix446—~874Automated safety check: PassApache-2.0
Harness Engineering10xChengTu/harness-engineering1021 repos~1kAutomated safety check: PassNone
Agnixagent-sh/agnix446—~563Automated safety check: PassApache-2.0
Writing Docsc15t/c15t1.9k—~872Automated safety check: PassApache-2.0
Review Agents Mddominik1001/caldav-mcp103—~1.2kAutomated safety check: PassMIT

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Categories

Questions about Audit Agent Onboarding

What does Audit Agent Onboarding do?

A skill your agent uses to lint a repo's agent onboarding files (AGENTS.md, CLAUDE.md, .claude/rules/.md) for bloat, contradictions, duplication, stale or vague commands, missing sections, leakage…. Audit Agent Onboarding is an agent skill from hashgraph-online/awesome-codex-plugins.md) for bloat, contradictions, duplication, stale or vague commands, missing sections, leakage, and secrets - or with --stats to view compression receipts.

When should I use Audit Agent Onboarding?

Audit Agent Onboarding fits situations like: lint a repos agent onboarding files (AGENTS.md; .claude/rules/.md) for bloat; missing sections; with --stats to view compression receipts.

How do I install Audit Agent Onboarding in Claude Code?

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

How do I install Audit Agent Onboarding in Codex?

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

Can I use Audit Agent Onboarding 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 audit-agent-onboarding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/audit-agent-onboarding, .gemini/skills/audit-agent-onboarding, .github/skills/audit-agent-onboarding and .opencode/skills/audit-agent-onboarding in your project.

What does Audit Agent Onboarding need to run?

SKILL.md names no scripts, command-line tools or credentials: Audit Agent Onboarding is instructions for the agent only.

Does Audit Agent Onboarding 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 Audit Agent Onboarding 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 Audit Agent Onboarding use?

Audit Agent Onboarding is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Audit Agent Onboarding use?

About 969 tokens (SKILL.md is roughly 3.9k 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 Audit Agent Onboarding?

Skills that share tags, products or a category with Audit Agent Onboarding: Agnix (agent-sh/agnix, 446 stars), Harness Engineering (10xChengTu/harness-engineering, 102 stars), Agnix (agent-sh/agnix, 446 stars) and Writing Docs (c15t/c15t, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Audit Agent Onboarding?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,255 GitHub stars. The repository holds 714 skills in this directory. The repository was last updated on October 9, 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.