by movieclaw · MCP Server · ★ 197
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git clone https://github.com/movieclaw/movieclaw.gitTaken 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 | 197 |
| Forks | 43 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 60/100 |
| Open Issues | 22 |
| Last Updated | 2026-11-07 |
| Created | 2026-05-08 |
| Platforms | browser, docker, mcp, python |
| Est. Tokens | ~22k |
One server replaces your entire media stack. A web app and a native iPhone app included, with an AI agent that actually gets things done. Everything stays on your own hardware. Free for personal and household use. English | 简体中文 Quick Start · Live Demo · AI Agent · Boundaries · CLI · Docs · Design Docs · Community · Feedback <img alt="Last Commit" src="https://img.shields.io/g
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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: