by ningzimu · Claude Skill · ★ 56
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.
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 | 56 |
| Forks | 2 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 65/100 |
| Last Updated | 2026-09-10 |
| Created | 2026-05-11 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~5k |
Codex GPT Image Skill 一个面向 OpenClaw / Claude Code / Codex / Hermes Agent 的 生图 skill：通过 Codex OAuth / ChatGPT 登录态 调用 ，不需要 。 它读取本机 ，请求 ，并显式调用 Responses 工具，让 agent 复用已有 Codex / ChatGPT 订阅权限生成图片。 适合谁用 想在 OpenClaw / Claude Code / Codex / Hermes Agent 里直接用 生图 已经有 Codex / ChatGPT OAuth 登录态，不想再配置 OpenAI API key 想把同一套 GPT Image skill 复用到多个支持 的 agent 需要文本生图、参考图编辑、2K/4K 输出或透明背景请求 特点 OpenClaw skill / Claude...
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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.
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