by Nebutra · Claude Skill · ★ 119
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills add Nebutra/MinerU-Skill
npx -y skills add https://smithery.ai/skills/nebutra/mineru-skillTaken from the project's README on GitHub.
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.
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 | 119 |
| Forks | 6 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-24 |
| Created | 2026-02-13 |
| Platforms | claude-code, cli, python |
| Est. Tokens | ~18k |
MinerU Skill An AI-Native document parser built for AI agents — turn PDF, Office & image files into clean Markdown with zero API key, zero install, and fast parallel batches. 中文文档 | English ⚡ Try it in 5 seconds (no signup
These tools work well together with MinerU-Skill for enhanced workflows:
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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: