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 numman-ali · Agent Tool · ★ 10.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openskills safe to install? View the security audit →
Universal skills loader for AI coding agents One CLI. Every agent. Same format as Claude Code. Quick Start · How It Works · Commands · Create Skills · FAQ ✨ What Is OpenSkills? OpenSkills brings Anthropic's skills system to every AI coding agent — Claude Code, Cursor, Windsurf, Aider, Codex, and anything that can read . Think of it as the universal installer for SKILL.md. 🚀 Quick Start By default, installs are project-local (, or with ). Use for . ✅ Why OpenSkills Exact Claude Code compatibility — same prompt format, same marketplace, same folder structure Universal — works with Claude Code, Cursor, Windsurf, Aider, Codex, and more Progressive disclosure — load skills only when needed (keeps context clean) Repo-friendly — skills live i
| Stars | 10,765 |
| Forks | 670 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 63.7445994944768/100 |
| Open Issues | 43 |
| Last Updated | 2026-01-18 |
| Created | 2025-10-26 |
| Platforms | node |
| Est. Tokens | ~15k |
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openskills is Universal skills loader for AI coding agents - npm i -g openskills. It is categorized as a Agent Tool with 10.8k GitHub stars.
openskills is primarily written in TypeScript.
You can find installation instructions and usage details in the openskills GitHub repository at github.com/numman-ali/openskills. The project has 10.8k stars and 670 forks, indicating an active community.
The top alternatives to openskills on Agent Skills Hub include open-saas, notebooklm-skill, agent-skills. 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: