by runesleo · Codex Skill · ★ 709
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git clone https://github.com/runesleo/claude-code-workflow.gitTaken 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 | 709 |
| Forks | 91 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 67/100 |
| Last Updated | 2026-10-19 |
| Created | 2026-03-03 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
QuietHarness：让你的 AI 编程 Agent 更可靠 中文 · English 给你已经在使用的 AI 编程 Agent 装上一层极小、可回滚的工作边界：先看现状、保留无关改动、按风险验证、对不可逆动作先确认。 只用 Claude Code、Codex 或 Cursor 中的一个就能获得同一组核心可靠性边界。 多端兼容是以后更换工具时可以带走这些边界，不是安装门槛。 QuietHarness 不会给每个请求套一层仪式，也不是要求你复制我的私人系统。它把我长期使用后仍值得保留的行为压缩成 1,604 字节共享 Core，并提供 dry-run、备份、隔离测试和可逆安装。 适合谁 适合正在用任意一种 AI 编程 Agent 维护真实项目，并遇到过这些问题的人： Agent 没检查现有改动就覆盖文件； 没运行测试，却把任务说成完成； 一个小修改被扩成不必要的重构和流程；...
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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: