by kstevica · MCP Server · ★ 193
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install captain-claw
docker pull kstevica/captain-claw:latestTaken 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 | 193 |
| Forks | 26 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 60/100 |
| Open Issues | 5 |
| Last Updated | 2026-11-07 |
| Created | 2026-02-17 |
| Platforms | mcp, python |
| Est. Tokens | ~21k |
Captain Claw An open-source AI agent with multi-agent orchestration, autonomous cognitive systems, and a full management dashboard. Runs locally, supports every major LLM provider, and ships with 45 built-in tools. What's New in 0.5.5 Self-aware in time — timing context, live token meters, and a calmer agent. A self-awareness + reliability release. Fully additive.
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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: