by haibarazz · Codex Skill · ★ 93
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git clone https://github.com/haibarazz/awesome-codex-research.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 | 93 |
| Forks | 3 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 49/100 |
| Last Updated | 2026-09-23 |
| Created | 2026-09-21 |
| Platforms | codex, python |
| Est. Tokens | ~14k |
awesome-codex-research 这是我的 Codex 科研工作流能力仓库。 我把平时反复使用的能力拆成两类： 独立 Skill：可以单独安装、单独触发的 工作流； Codex Plugin：可以把多个 Skill、MCP server、脚本和资源一起安装的能力包。 目标是让科研工作中的检索、写作、审稿、实验、远程 GPU、结果核验和资料沉淀，都逐步变成可复用、可检查、可迭代的工作流。 当前能力 AutoDL Remote Plugin 通过本地 CLI 和 MCP server 控制 AutoDL / SSH 远程机器，支持文件传输、远程命令、后台任务、实验 run metadata、fleet、tmux 和只读 dashboard。 查看原始上游仓库 intent-aligner Skill...
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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: