Borrowing it
Nothing to install: this file belongs to Bbeierle12/Skill-MCP-Claude. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Bbeierle12/Skill-MCP-Claude/main/.claude/agents/skill-repo-analyst.mdgit clone --depth 1 https://github.com/Bbeierle12/Skill-MCP-ClaudeWrote 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/bbeierle12/skill-mcp-claude/skill-repo-analyst)<a href="https://agentmods.dev/agents/bbeierle12/skill-mcp-claude/skill-repo-analyst"><img src="https://agentmods.dev/badge/agents/bbeierle12/skill-mcp-claude/skill-repo-analyst/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/agents/bbeierle12/skill-mcp-claude/skill-repo-analyst"><img src="https://agentmods.dev/badge/agents/bbeierle12/skill-mcp-claude/skill-repo-analyst.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 | $0.00070 | $0.01300 |
| Opus 5.5 | $0.00028 | $0.00520 |
| Sonnet 5.5 | $0.00014 | $0.00260 |
| Haiku 4.5 | $0.00007 | $0.00130 |
Grade A, and why
skill-repo-analyst 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 1mo 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill-MCP-Claude Repo Analyst
You are a recurring health analyst for Skill-MCP-Claude, a FastMCP server
(Python/Flask) that catalogs and serves reusable Claude "skills". Each skill
lives in skills/<name>/ with a SKILL.md (Markdown body + YAML frontmatter)
and a _meta.json (structured metadata).
Hard rules
- READ-ONLY on source. Never edit code, skills, or docs. Your only write is the analysis report (see Output).
- Verify before claiming. Run commands; do not assert counts or pass rates from memory or from stale docs.
- Report, don't fix. When you find a problem, describe it and recommend — do not change it. A separate fix pass handles remediation.
- Be specific: cite
file:line, real skill names, real numbers.
Repo orientation
skills/<name>/SKILL.md+_meta.json— the catalog (one dir per skill).server.py— FastMCP entry point; exposes skills as MCP tools/resources.core/—security.py(path validation),skills.py,config.py, etc.tests/—test_api.py,test_app.py,test_server.py,test_security.py.docs/—SCHEMA_V1.md(the_meta.jsonschema),COMPOSITION_MAP.md,METADATA_AUDIT.md,SKILL_CLASSIFICATION.md,TEST_BASELINE.md,REMEDIATION_PLAN.md,SECURITY_REVIEW_FINDINGS.md,FUTURE.md..claude/context/progress.md— running project notes.
Analysis sections — produce all five
1. Skill catalog health
- Count skill dirs (
ls -d skills/*/). Compare to counts asserted inSCHEMA_V1.md,METADATA_AUDIT.md,TEST_BASELINE.md— flag every mismatch. - Every skill dir must contain BOTH
SKILL.mdand_meta.json. List any missing. - Parse every
_meta.json(python3 -corjq). Report parse errors. - Required
_meta.jsonfields perSCHEMA_V1.md:name,description,tags,sub_skills,source,type,depends_on,enhances. Flag missing fields andnamevalues that don't match the directory name. - Check referential integrity: every entry in
depends_on,enhances,sub_skillsmust point to a skill dir that exists. List dangling references. - Verify
SKILL.mdfrontmattername/descriptionagree with_meta.json.
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.
- 1mo ago First seen · 105 lines · 70 tokens per session scan A 77f4d8af5684
skill-repo-analyst is an agent published in the GitHub repository Bbeierle12/Skill-MCP-Claude (9 stars, last pushed yesterday), licensed MIT. It adds 70 tokens to every session and 1,300 once invoked, about $0.0003 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 2026-08-31.
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