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 Leon-Drq · Codex Skill · ★ 293
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openagentskill safe to install? View the security audit →
OpenAgentSkill OpenAgentSkill is the skill layer for AI agents: helping agents find, compare, and install the right reusable skill automatically. Think npm for AI Agent Skills: a registry, trust layer, and recommendation API for Codex, Claude Code, Cursor, and other agent runtimes. Browse Skills | Trending | Audit Reports | API Docs | Submit What Is OpenAgentSkill? OpenAgentSkill is a public registry for finding, comparing, auditing, and recommending AI agent skills. The product is built for three audiences: Search, rankings, audits, c
| Stars | 293 |
| Forks | 28 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 67.1244440369398/100 |
| Open Issues | 12 |
| Last Updated | 2026-09-09 |
| Created | 2026-02-19 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~16k |
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openagentskill is The skill layer for AI agents: npm for AI Agent Skills.. It is categorized as a Codex Skill with 293 GitHub stars.
openagentskill is primarily written in TypeScript. It covers topics such as agent, agent-skills, agentic-workflows.
You can find installation instructions and usage details in the openagentskill GitHub repository at github.com/Leon-Drq/openagentskill. The project has 293 stars and 28 forks, indicating an active community.
openagentskill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to openagentskill on Agent Skills Hub include skillnote, awesome-ai-agent-skills, cli. 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: