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 skills add WRG-11/mcp-objauthz-lab --skill mcp-auditgit clone --depth 1 https://github.com/WRG-11/mcp-objauthz-labWrote 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/wrg-11/mcp-objauthz-lab/mcp-audit)<a href="https://agentmods.dev/skills/wrg-11/mcp-objauthz-lab/mcp-audit"><img src="https://agentmods.dev/badge/skills/wrg-11/mcp-objauthz-lab/mcp-audit/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/wrg-11/mcp-objauthz-lab/mcp-audit"><img src="https://agentmods.dev/badge/skills/wrg-11/mcp-objauthz-lab/mcp-audit.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00169 | $0.02500 |
| Opus 5.5 | $0.00068 | $0.01000 |
| Sonnet 5.5 | $0.00034 | $0.00500 |
| Haiku 4.5 | $0.00017 | $0.00250 |
Grade A, and why
mcp-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 — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mcp-audit
A repeatable, read-only review of an MCP server's tool surface. The output is a single Markdown report the maintainer can act on in one sitting: what each tool is, how well an agent can tell when to call it, where the surface disagrees with itself, what is untested or unused, and which few fixes to ship first.
The review scores tools on what can be checked in the source and the repository,
not on taste. Every finding cites a finding_id from SEVERITY.md,
so two audits of the same server can be compared row by row.
Axes
Per tool:
- Discoverability (1-5). Could an agent decide to call this tool from its description alone? 5 = trigger phrases, when-to-use guidance and the return shape; 1 = the description restates the function name.
- Return shape. Does the tool use the surface's common result shape, or an idiom of its own? Count the idiom families across the whole surface.
- Naming. One case convention, a shared domain prefix where the surface has
families (
memory_*,issue_*), one verb per operation. - Error handling. How each tool reports a failure: it raises, returns a structured error, or says nothing.
- Test coverage. A test that goes through the MCP layer, a test of the underlying function only, a smoke call with no assertions, or nothing.
- Decay. Mentioned in the CHANGELOG, in the README or docs, imported by any consumer, exercised by any test. A tool with none of the four is a decay candidate.
Per surface, when it applies:
- State handling - servers that keep state across calls (files, a database, an in-memory store): atomic writes, a serialiser around load-mutate-save, persistence across a restart, state one tool can see that another wrote.
- Object-level authorization - servers that serve more than one tenant, user or project: does every tool that resolves an object by id check that the caller may touch that object? See Authorization axis.
When to use it
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 225 lines · 169 tokens per session scan A 8757d541e215
mcp-audit is a skill published in the GitHub repository WRG-11/mcp-objauthz-lab (0 stars, last pushed 2d ago), licensed MIT. It adds 169 tokens to every session and 2,500 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-10-20.
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