by NEU-ZHA · Agent Tool · ★ 65
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/NEU-ZHA/legal-ai-skills.git && cd legal-ai-skills && python3 scripts/install_skills.py
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 | 65 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 62/100 |
| Last Updated | 2026-10-09 |
| Created | 2026-05-27 |
| Platforms | python |
| Est. Tokens | ~18k |
Legal AI Skills / 法律 AI 技能集 一组可开源复用的 AI agent skills,面向法律检索、北大法宝 MCP、法学引注核验、Word/DOCX 文书处理和法律写作事实核查。 This repository contains reusable AI-agent skills for legal research, PKULaw MCP setup, citation checking, DOCX workflows, and legal-writing fact checking.
These tools work well together with legal-ai-skills for enhanced workflows:
Explore other popular agent tool tools:
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: