by ai-boost · MCP Server · ★ 707
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. 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 | 707 |
| Forks | 214 |
| Category | MCP Server |
| License | MIT |
| Quality Score | 56/100 |
| Open Issues | 106 |
| Last Updated | 2026-11-07 |
| Created | 2025-04-10 |
| Platforms | cli, mcp |
| Est. Tokens | ~27k |
✨ Awesome A2A (Agent2Agent Protocol) ✨ A curated list of awesome resources, implementations, tools, and examples related to the Agent2Agent (A2A) Protocol for AI agent interoperability. Deutsch | English | Español | français | 日本語 | 한국어 | Português | Русский | 中文 <img src="https://img.shields.io/github/stars/ai-boost/awesome-a2a.svg?style=social&label=Sta
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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: