by Akimiya-z · Codex Skill · ★ 111
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npx --yes codex-guard init
npx --yes codex-guard doctorTaken 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 | 111 |
| Forks | 7 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 59/100 |
| Last Updated | 2026-08-31 |
| Created | 2026-08-20 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~13k |
🤖 Codex Guard Docs site: An automatic quality gate for AI-generated pull requests. Stop TODO leftovers, leaked secrets, sloppy commits and red CI from reaching — with zero review bandwidth spent on the obvious stuff. Works with OpenAI Codex (cloud & CLI), Claude Code, Copilot, and any other agent that opens PRs against your repo. 🐕 Dogfooding: this repo gates its own AI-generated PRs.
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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: