by pmlaowangba-lab · Codex Skill · ★ 83
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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.
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 | 83 |
| Forks | 17 |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 62/100 |
| Last Updated | 2026-07-09 |
| Created | 2026-07-09 |
| Platforms | codex |
| Est. Tokens | ~16k |
Laowangba PM Prototype Skill 一个用于生成 B/C 端产品原型的 Codex Skill，重点面向 Figma 可编辑 UI 原型。 它把原型生成拆成稳定流程： IA 推导：从 brief 推实体、角色、任务链和页面，不套固定后台页面清单。 Design Plan：先确定 subject、tone、token、layout、signature、differentiation。 Anti-Slop Review：生成 Figma 前先检查是否落入常见 AI 默认审美。 ：用结构化页面规格承接后续增量修改。 Figma 执行：按 region 分批生成可编辑 Frame。 Repository Structure Requirements Codex / Agent 环境支持 Skill 加载。 如需写入 Figma，需要已配置 Figma MCP / Figma...
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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: