by cheshire-cat-ai · MCP Server · ★ 3.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
docker run --rm -it -p 1865:80 ghcr.io/cheshire-cat-ai/core:latest
Taken from the project's README on GitHub. Check the security audit before running it.
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 | 3,100 |
| Forks | 411 |
| Language | Python |
| Category | MCP Server |
| License | GPL-3.0 |
| Quality Score | 58/100 |
| Open Issues | 11 |
| Last Updated | 2026-07-29 |
| Created | 2023-02-08 |
| Platforms | cli, docker, mcp, python |
| Est. Tokens | ~14k |
Cheshire Cat AI 🇮🇹 Stregatto - 🇨🇳 柴郡貓 - 🇮🇳 चेशायर बिल्ली - 🇷🇺 Чеширский кот AI agent as a microservice The Cheshire Cat is a framework to build custom AI agents: ⚡️ API first, to easily add a conversational layer to your app 💬 Chat via WebSocket and manage your agent with an customizable REST API 🐘 Built-in RAG with Qdrant 🚀 Extensible via plugins 🪛 Event callbacks, function calling...
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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: