by jgravelle · MCP Server · ★ 2.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install jcodemunch-mcp
claude mcp add jcodemunch uvx jcodemunch-mcpTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 2,836 |
| Forks | 373 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 65/100 |
| Open Issues | 4 |
| Last Updated | 2026-11-07 |
| Created | 2026-02-09 |
| Platforms | claude-code, cli, codex, gemini, mcp, python |
| Est. Tokens | ~15k |
Quickstart - https://github.com/jgravelle/jcodemunch-mcp/blob/main/QUICKSTART.md FREE FOR PERSONAL USE Use it to make money, and Uncle J. gets a taste. Fair enough? details Cut code-reading token usage by 95% or more Most AI agents explore repositories the expensive way: open entire files → skim thousands of irrelevant lines → repeat.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: