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 nuwa-skills · Claude Skill · ★ 393
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-nuwa safe to install? View the security audit →
Awesome 女娲.skill 用女娲蒸馏的人物思维框架合集 每个 Skill 都是一个可安装的思维操作系统，不是语录合集。 安装后可在支持 Agent Skills 的 AI 助手中，以该人物的视角分析问题、审视决策、提供反馈。 安装方式 维护 在 与各 Skill 仓库位于同一父目录时，可运行： 更新脚本会自动跳过存在未提交 修改的仓库。 目录 共 159 位人物，分布在 18 个领域。 中国哲学家 西方哲学家 科学家 商业领袖 当代中国企业家 投资大师 科技与创新 中国文学家 西方作家 心理学家 政治领袖 军事与战略 艺术与设计 体育 教育 经济学家 精神与智慧 当代思想者 中国哲学家 无为而治/道
| Stars | 393 |
| Forks | 46 |
| Language | Ruby |
| Category | Claude Skill |
| Quality Score | 59.1653799959007/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-25 |
| Created | 2026-04-11 |
| Platforms | claude-code, ruby |
| Est. Tokens | ~8k |
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awesome-nuwa is Awesome list of 女娲.skill — 用女娲蒸馏的人物思维框架合集 | Distilled human thinking frameworks for Claude Code. It is categorized as a Claude Skill with 393 GitHub stars.
awesome-nuwa is primarily written in Ruby. It covers topics such as agent-skills, awesome-list, claude-code.
You can find installation instructions and usage details in the awesome-nuwa GitHub repository at github.com/nuwa-skills/awesome-nuwa. The project has 393 stars and 46 forks, indicating an active community.
The top alternatives to awesome-nuwa on Agent Skills Hub include awesome-human-distillation, awesome-nuwa, awesome-claude-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: