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 luna-prompts · Codex Skill · ★ 60
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skillnote safe to install? View the security audit →
S K I L L N O T E The open-source skill registry for AI coding agents. Self-host your team's SKILL.md library. Version it, scope it, and ship it to Claude Code and OpenClaw from one CLI. <img src="https://img.shields.io/github/stars
| Stars | 60 |
| Forks | 9 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68.153018268572/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-04 |
| Created | 2026-02-23 |
| Platforms | claude-code, codex, docker, node |
| Est. Tokens | ~19k |
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skillnote is The open-source skill registry for AI coding agents. Create, manage, and distribute SKILL.md files across Openclaw, Claude Code, Cursor, Codex, OpenHands, Antigravity, and more.. It is categorized as a Codex Skill with 60 GitHub stars.
skillnote is primarily written in TypeScript. It covers topics such as ai-coding-agents, ai-tools, antigravity.
You can find installation instructions and usage details in the skillnote GitHub repository at github.com/luna-prompts/skillnote. The project has 60 stars and 9 forks, indicating an active community.
skillnote is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skillnote on Agent Skills Hub include openagentskill, mcp-fusion, awesome-ai-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: