No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by K-Dense-AI · MCP Server · ★ 396
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-skills-mcp safe to install? View the security audit →
Claude Skills MCP Server This MCP server is no longer hosted or maintained. Agent Skills have been natively adopted by all major AI platforms — Cursor, Windsurf, Claude Code, Copilot, and others now support skills out of the box. There is no longer a need for an MCP bridge to deliver skills to your coding assistant. Thank you to everyone who used and contributed to this project! Use Claude's powerful new Skills system with ANY AI model or coding assistant - including Cursor, Codex, GPT-5, Gemini, and more. This MCP server brings Anthropic's Agent Skills framework to the entire AI ecosystem through the Model Context Protocol. A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic s
| Stars | 396 |
| Forks | 70 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69.4646781679776/100 |
| Last Updated | 2026-07-20 |
| Created | 2025-10-21 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~15k |
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claude-skills-mcp is MCP server for searching and retrieving Scientific Agent Skills using vector search. It is categorized as a MCP Server with 396 GitHub stars.
claude-skills-mcp is primarily written in Python.
You can find installation instructions and usage details in the claude-skills-mcp GitHub repository at github.com/K-Dense-AI/claude-skills-mcp. The project has 396 stars and 70 forks, indicating an active community.
claude-skills-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: