by lilialla · MCP Server · ★ 160
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 160 |
| Forks | 20 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 53/100 |
| Last Updated | 2026-10-04 |
| Created | 2026-06-07 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~15k |
awesome-legal-ai-zh · 法律 AI 选型指南 给个人律师和法务的开源法律 AI 选型入口：先看任务，再看上手门槛、数据路径、外部依赖和核验深度。 本页只展示经过策展的法律核心入口。全部 GitHub 项目见 完整索引，同类项目差异和能力缺口见 能力地图。 怎么看 当前推荐是编辑判断，不是客观“最好”或综合分；每个具体任务最多一个当前推荐。 能力池是已审阅且标记为该大类的法律核心项目数；具体任务只在其中比较真正可替代的项目。 数据路径只描述项目公开实现：本地、自托管、外部 API、混合或未明确，不等同于安全背书。 核验深度分为元数据核验、仓库审阅、Smoke 通过和测试通过；Star 不参与推荐排序。 测试通过只说明指定工程测试在记录环境中运行成功，不证明法条、金额或法律结论正确。 License 和权利限制保留在完整索引，不再占用首页主列。 按任务选工具 [nww
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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: