by lidge-jun · MCP Server · ★ 208
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install -g cli-jawTaken from the project's README on GitHub.
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.
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 | 208 |
| Forks | 34 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 33 |
| Last Updated | 2026-09-24 |
| Created | 2026-02-25 |
| Platforms | claude-code, cli, codex, gemini, mcp, node |
| Est. Tokens | ~21k |
CLI-JAW Your personal AI agent. 2 lines to install. 13 AI runtime surfaces in one dashboard. English / 한국어 / 中文 / 日本語 Install Safe install — for existing users who want minimal changes Windows users should use the WSL install path below. Native PowerShell is not the supported CLI-JAW install target. That's it. Open http://localhost:24576 for the manager dashboard.
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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: