by instavm · MCP Server · ★ 453
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/BandarLabs/open-skills.gitTaken from the project's README on GitHub.
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 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 | 453 |
| Forks | 36 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 71/100 |
| Open Issues | 4 |
| Last Updated | 2026-01-23 |
| Created | 2025-10-26 |
| Platforms | claude-code, cli, gemini, mcp, python |
| Est. Tokens | ~1013k |
OpenSkills: Run Claude Skills Locally on Your Mac Anthropic recently announced Skills for Claude - reusable folders with instructions, scripts, and resources that make Claude better at specialized tasks. This tool lets you run these skills entirely on your local machine in a sandboxed environment.
These tools work well together with open-skills for enhanced workflows:
Looking for a open-skills alternative? If you're comparing open-skills with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plug
Desktop AI Assistant powered by GPT-6, GPT-5, Gemini, Claude, Grok, Ollama, DeepSeek, Perplexity, and more - c
The control plane for AI coding agents.
Private web search for AI assistants via SearXNG — supports Claude, Cursor, and any MCP client
On-premises conversational RAG with configurable containers
AI writes code. This automates everything else · 24 plugins · 49 agents · 44 skills · for Claude Code, OpenCod
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: