by fim-ai · MCP Server · ★ 93
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 93 |
| Forks | 15 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 67/100 |
| Last Updated | 2026-03-10 |
| Created | 2026-02-22 |
| Platforms | mcp, python |
| Est. Tokens | ~785k |
🌐 English 🇫🇷 Français All-in-One Agent Platform for Global × China Enterprises. Wire every system you already run — global SaaS to the China stack — through one agent core. 🌐 Website · 📖 Docs · 📋 Changelog · 🐛 Report Bug · 💬 Discord · 🐦 Twitter · 🏆 Product Hunt [!TIP] ☁️ Skip the setup — try FIM One on Cloud. A managed version is live at cloud.fim.ai — no Docker, no API keys, no config.
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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: