by yc-duan · Codex Skill · ★ 102
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 | 102 |
| Forks | 23 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 64/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-04 |
| Created | 2026-05-04 |
| Platforms | codex, python |
| Est. Tokens | ~2k |
api-image 一个给 Codex App 用的图片生成 Skill。 它的作用很简单：当你在 API 形式使用 Codex App，没法直接用官方内置 时，让 Codex 改走你自己配置的 OpenAI-compatible 图片接口，例如通过 CPA 反代出来的 。 用网页版生过图的朋友应该知道，网页端的生图不是单纯“把一句 prompt 传给图片模型”。它更像一个 agent：主模型会理解你的需求，必要时搜索资料、分析参考图、整理提示词，然后再调用图片模型。这个 Skill 就是尽量复刻这种流程：你用自然语言告诉 Codex 想要什么，Codex 负责前面的 agent 工作，最后通过你的 Provider API 生图。 它能做什么 文生图 参考图生图 局部编辑 / inpainting 多参考图辅助构图、风格、产品或人物一致性 需要真实信息的图片生成前，先让 Codex...
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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: