Auditing agent onboarding files

SkillFiles & storage

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.

Use Auditing agent onboarding files in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Auditing agent onboarding files and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the Auditing agent onboarding files skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Auditing agent onboarding filesStart free

What this skill tells your AI

The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/gustavo-meilus/aiboarding/skills/audit-agent-onboarding/SKILL.md and read by ahel’s review.

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

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:

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.

Signals

GitHub stars
1k
Forks
316
Last commit
Oct 2026
Advanced
Item type
skill
Key
audit-agent-onboarding
Source
github.com/hashgraph-online/awesome-codex-plugins