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 →
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-persona-skills safe to install? View the security audit →
Awesome Persona Skills 各种可以蒸馏的skill English | 简体中文 想体验被蒸馏的感觉吗？与其让别人蒸馏自己，不如抢先一步蒸馏别人 同事.skill、老板.skill、前任.skill、自己.skill、永生.skill、女娲.skill…… 万物皆可 skill 不蒸馒头争口气 —— 顺便还能蒸馏下身边的人。 📦 技能列表 📑 目录： 💼 职场与学术 ❤️ 人际关系 🌟 自我成长 💡 商业思维 📱 网络名人 🙏 传统文化与哲学 🌈 情感陪伴 🛠️ 工具类 职场与学术 同事.skill - 将冰冷的离别化为温暖的 Skill 老板.skill - 把老板的聊天记录、会议纪要、批注和项目材料蒸馏成 Skill 导师.skill - 导师不回答你？那就把导师变成秒回消息的导师 大学老师.skill - 老师不划重点，那就自己造一个会划重点的老师 师兄.skill - 把毕业的大师兄蒸馏成一个能继续开组会、骂醒你、顺手救火的 AI Skill 反蒸馏.skill - 公司让你写 Skill？把自己变成随叫随到的AI？想都别想 HR.skill - 生成一封措辞完美、废话连篇、令人心碎的拒信 人际关系 暗恋对象.skill - 我会为了你一万次回到那个心动的瞬间 初恋.skill - 后来这么多年，我又迎过了无数盛夏 前任.skill - 我会为了你一万次回到那个夏天 现任.skill - 既然决定在一起，就让我们把这个夏天变成永远 她.skill - 所有的逻辑分叉，最终都会递归回她的名字 父母.skill - 每一次对话，都是穿
| Stars | 4,065 |
| Forks | 349 |
| Category | AI Tool |
| Quality Score | 50.7847712006165/100 |
| Last Updated | 2026-09-30 |
| Created | 2026-04-06 |
| Est. Tokens | ~10k |
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awesome-persona-skills is 同事.skill、老板.skill、前任.skill、自己.skill、永生.skill、女娲.skill……. It is categorized as a AI Tool with 4.1k GitHub stars.
You can find installation instructions and usage details in the awesome-persona-skills GitHub repository at github.com/tmstack/awesome-persona-skills. The project has 4.1k stars and 349 forks, indicating an active community.
The top alternatives to awesome-persona-skills on Agent Skills Hub include memU, mcp-use, AI-Infra-Guard. 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: