by InternScience · Codex Skill · ★ 584
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/InternScience/Awesome-Scientific-Skills.git
Taken 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 | 584 |
| Forks | 49 |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65/100 |
| Open Issues | 12 |
| Last Updated | 2026-08-13 |
| Created | 2026-03-03 |
| Est. Tokens | ~19k |
Awesome Scientific Skills An open, curated collection of Agent Skills for scientific research — clone it, use it, extend it. 中文说明 / Chinese README: readmeCN.md Latest News We open-sourced Skiller — an automated tool that turns conversation logs or plain-text requirements into standards-compliant skill packages.
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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: