by boyang-hu · Codex Skill · ★ 1.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 1,400 |
| Forks | 251 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 62/100 |
| Last Updated | 2026-10-12 |
| Created | 2026-08-11 |
| Platforms | browser, claude-code, codex, node |
| Est. Tokens | ~17k |
website-rebuild-skill 中文 | English 给一个网址，让你的 AI agent 把那个网站逐行复刻出来，并且能证明复刻得对。 它不是"做一个看起来很像的页面"。它把源站的实现当作规格书：先把整站抓成只读证据，再从压缩过的代码里逐行还原逻辑，最后用一整套自动验收门证明"复刻侧和源站在做同一件事"——包括逐像素比对。 遵循 Agent Skills 开放规范，为任何支持 skills 的智能体设计。跨运行时不是口号而是实测：验证清单里既有 Claude Code 跑完的目标，也有 Codex 全程跑完的目标（Hashgraph VC，166/166 响应字节一致）——同一份 skill 目录，放进哪个 runtime 都能走完整条管线。 目录 特性 效果对比：源站 vs 复刻 快速开始 它怎么工作 适用范围 这和"扒站"有什么不一样 已验证过的网站 仓库结构...
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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: