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None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 72 |
| Forks | 7 |
| Language | TypeScript |
| Category | AI Tool |
| License | MIT |
| Quality Score | 58/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-30 |
| Created | 2026-10-27 |
| Platforms | node |
| Est. Tokens | ~14k |
乔木 UI 学习 · DeepSeek Harness 在 DeepSeek Harness 里浏览设计参考、学习 UI 词汇、练习审美，并把自己的点评保存成 Markdown。 直接沿用 Obsidian 版乔木 UI 学习 的图库、词典、风格、测验、详情、收藏夹和设置界面，产品 CSS 保持一致。迁移仅替换宿主容器、文件保存、快捷操作和 Home 联动接口。 功能 13,561 条设计参考、184 个分类；搜索、收藏夹、最近浏览、点评筛选和卡片密度。 UI 词典与风格图鉴：106 个交互标本、双语解释、识别特征、关联风格、代码与实现提示词。 审美测验：组件、风格或混合练习，键盘作答、掌握状态与复习记录。 五星评价、标签、评论；逐条或批量导出 Markdown，笔记浏览、光标插入和未保存草稿恢复。 原版设计灯箱、图片/Markdown/提示词复制、参考页面 HTML 源码读取。 导入...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: