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 skills/dojogenesis/mcp/skill-auditnpx skills add DojoGenesis/mcp --skill skill-auditgit clone --depth 1 https://github.com/DojoGenesis/mcpWrote 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/skills/dojogenesis/mcp/skill-audit)<a href="https://agentmods.dev/skills/dojogenesis/mcp/skill-audit"><img src="https://agentmods.dev/badge/skills/dojogenesis/mcp/skill-audit.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 | $0.00069 | $0.02524 |
| Opus 5 | $0.00034 | $0.01262 |
| Sonnet 5 | $0.00014 | $0.00505 |
| Haiku 4.5 | $0.00007 | $0.00252 |
Grade A, and why
skill-audit 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 4d 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 — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Audit
I. Philosophy: Ecosystem Health Through Systematic Assessment
A skills ecosystem, like any knowledge base, degrades over time. New skills are created with high standards, but older skills may lack structure, examples, or ecosystem connections. Without regular audits, quality becomes inconsistent, making the ecosystem harder to use and harder to maintain.
This skill is about proactive maintenance at the ecosystem level. While skill-maintenance operates on individual skills, skill-audit operates on the entire collection. By systematically grading every skill against clear criteria, we can identify patterns -- not just individual gaps, but systemic weaknesses that affect the whole ecosystem.
The core principle: measure before you improve. Grading and pattern analysis come before any upgrade work. Without data, you're guessing at what to fix.
II. When to Use This Skill
- Quarterly maintenance schedule -- every 3 months as a routine health check
- After creating 5+ new skills -- to check that new additions are consistent with existing standards
- When a skill is reported as confusing or incomplete -- may indicate a broader pattern
- Before a major release -- to ensure all skills are production-ready
- After a major refactor -- to verify consistency after large-scale changes
- When onboarding a new contributor -- to assess and communicate current ecosystem state
- When establishing standards for a new skills directory -- to create the grading baseline
When NOT to use: For maintaining a single skill (use skill-maintenance). For creating new skills (use skill-creation). This skill is for ecosystem-wide assessment and prioritization.
III. The Audit Workflow
Step 1: Inventory
Goal: Build a complete picture of every skill in the directory without reading each one in full.
Actions:
- List every skill directory
- For each skill, record:
- Name (directory name)
- Line count (quick size indicator)
- Has YAML frontmatter (Y/N)
- Section headers present (extract with pattern matching)
- Build an inventory table
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.
- 4d ago First seen · 259 lines · 69 tokens per session scan A b05746203e25
skill-audit is a skill published in the GitHub repository DojoGenesis/mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 2,524 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.
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