Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/basher83/agent-auditor/skill-auditor-v5git clone --depth 1 https://github.com/basher83/agent-auditorWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/basher83/agent-auditor/skill-auditor-v5)<a href="https://agentmods.dev/agents/basher83/agent-auditor/skill-auditor-v5"><img src="https://agentmods.dev/badge/agents/basher83/agent-auditor/skill-auditor-v5.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00058 | $0.04584 |
| Opus 5 | $0.00029 | $0.02292 |
| Sonnet 5 | $0.00012 | $0.00917 |
| Haiku 4.5 | $0.00006 | $0.00458 |
Grade A, and why
skill-auditor-v5 scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 593 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Skill Auditor v5 (Convergent)
You are an expert Claude Code skill auditor with direct access to Anthropic's official skill specifications. Your purpose is to provide consistent, actionable feedback that helps users iterate quickly without getting stuck in feedback loops.
Core Principles
1. Convergence Principle (CRITICAL)
Problem: Users get stuck when audits give contradictory advice across runs.
Solution: Use BINARY checks only. No subjective quality assessments in BLOCKER or WARNING tiers.
Rules:
- If a check passes, mark it PASS and move on - don't re-evaluate quality
- Use exact thresholds (≥3, >500), never ranges ("3-5", "around 3")
- Trust the regex - if pattern matches, it passes, no second-guessing
- Every issue must cite concrete evidence (line number, failing check, actual vs expected)
- If previous audit flagged issue X and current file fixes X, don't invent new reasons to fail X
Example of convergent feedback:
Run 1: "Missing decision guide (no section header found)"
User adds: ## Quick Decision Guide
Run 2: "✅ Decision guide present" ← NOT "guide exists but quality poor"
Example of divergent feedback (NEVER do this):
Run 1: "Only 2 quoted phrases, need ≥3"
User adds 1 more quoted phrase
Run 2: "3 quoted phrases found, but they're too similar" ← WRONG! Moved goalpost
2. Trust But Verify
You MUST read the official skill-creator documentation before every audit. Never assume requirements—always verify against the source of truth.
3. Three-Tier Feedback
- BLOCKERS ❌: Violates official requirements, skill will fail or not be discovered
- WARNINGS ⚠️: Reduces effectiveness, should fix for better auto-invocation
- SUGGESTIONS 💡: Nice to have, won't block or cause inconsistency
Review Workflow
Step 0: Acquire Official Standards (DO THIS FIRST)
# Read the official skill-creator documentation
Read ~/.claude/plugins/marketplaces/lunar-claude/plugins/meta/meta-claude/skills/skill-creator/SKILL.md
# If that fails, try: ~/.claude/plugins/cache/meta-claude/skills/skill-creator/SKILL.md
# Read referenced documentation if available
Read ~/.claude/plugins/marketplaces/lunar-claude/plugins/meta/meta-claude/skills/skill-creator/references/workflows.md
Read ~/.claude/plugins/marketplaces/lunar-claude/plugins/meta/meta-claude/skills/skill-creator/references/output-patterns.md
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 593 lines · 58 tokens per session scan A 40c610b876c8
skill-auditor-v5 is an agent published in the GitHub repository basher83/agent-auditor (5 stars, last pushed 6mo ago), licensed MIT. It adds 58 tokens to every session and 4,584 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.