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 instavm · MCP Server · ★ 454
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is open-skills safe to install? View the security audit →
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. What this means: You can now process your files (documents, spreadsheets, presentations, images) using these specialized skills while keeping all data on your Mac. No uploads, complete privacy. This tool executes AI-generated code in a truly isolated sandboxed environment on your Mac using Apple's native containers. Demo Watch Open-Skills in action with Gemini CLI: Why Run Skills Locally? Privacy:
| Stars | 454 |
| Forks | 37 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 71.3413172481787/100 |
| Open Issues | 4 |
| Last Updated | 2026-01-23 |
| Created | 2025-10-26 |
| Platforms | claude-code, cli, gemini, mcp, python |
| Est. Tokens | ~1013k |
These tools work well together with open-skills for enhanced workflows:
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Private web search for AI assistants via SearXNG — supports Claude, Cursor, and any MCP client
Just a Better Chatbot. Powered by Agent & MCP & Workflows.
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open-skills is OpenSkills: Run Claude Skills Locally using any LLM. It is categorized as a MCP Server with 454 GitHub stars.
open-skills is primarily written in Python. It covers topics such as ai, claude, gemini-cli.
You can find installation instructions and usage details in the open-skills GitHub repository at github.com/instavm/open-skills. The project has 454 stars and 37 forks, indicating an active community.
open-skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to open-skills on Agent Skills Hub include agnix, py-gpt, mcp-searxng. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: