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 huangrichao2020 · Agent Tool · ★ 54
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pretty-skills safe to install? View the security audit →
pretty-skills 100+ 企业技能 + 个人技能库 · 高频整合 · 自学习 + 每日自动更新 · v3.20 🎯 pretty-skills · 一图看懂 不是"装个工具"，是"养一个会自己长大的技能库"。 1️⃣ 100+ 现成技能 · 15 个领域全覆盖 卡脖子猎手 · 宏观雷达 · stock-analysis-v4 · event-dr
| Stars | 54 |
| Forks | 4 |
| Language | HTML |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 55.8201107655644/100 |
| Last Updated | 2026-09-13 |
| Created | 2026-07-07 |
| Platforms | cli |
| Est. Tokens | ~15k |
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pretty-skills is 跨 agent 的 skill 管理器 + skill 推广工具，欢迎fork和pr。管理你所有 skill ，创建技能自带讲解pdf或ppt。支持各种Agent。. It is categorized as a Agent Tool with 54 GitHub stars.
pretty-skills is primarily written in HTML. It covers topics such as agent, ai-tools, cli.
You can find installation instructions and usage details in the pretty-skills GitHub repository at github.com/huangrichao2020/pretty-skills. The project has 54 stars and 4 forks, indicating an active community.
pretty-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to pretty-skills on Agent Skills Hub include skill-flow, claudekit, api200. 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: