by oil-oil · Codex Skill · ★ 1.8k
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npx skills add oil-oil/beautify-github-readmeTaken from the project's README on GitHub. Check the security audit before running it.
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 | 1,816 |
| Forks | 131 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63/100 |
| Open Issues | 13 |
| Last Updated | 2026-10-04 |
| Created | 2026-07-13 |
| Platforms | codex, python |
| Est. Tokens | ~15k |
English · 简体中文 These are not hypothetical templates. The method is already used by four public repositories, each with its own visual language and content structure: oil-ppt — presents the method, results, and first-use path for programmatic slide creation in one visual system. draw-ui — uses real UI outputs to explain the path from a brief and reference images to HTML/CSS reconstruction.
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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: