Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add NEU-ZHA/legal-ai-skills --skill pkulaw-mcp-legal-researchgit clone --depth 1 https://github.com/NEU-ZHA/legal-ai-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/neu-zha/legal-ai-skills/pkulaw-mcp-legal-research)<a href="https://agentmods.dev/skills/neu-zha/legal-ai-skills/pkulaw-mcp-legal-research"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/pkulaw-mcp-legal-research/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/neu-zha/legal-ai-skills/pkulaw-mcp-legal-research"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/pkulaw-mcp-legal-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00127 | $0.02078 |
| Opus 5 | $0.00063 | $0.01039 |
| Sonnet 5 | $0.00025 | $0.00416 |
| Haiku 4.5 | $0.00013 | $0.00208 |
Grade A, and why
pkulaw-mcp-legal-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
北大法宝 MCP：有据法律研究（总路由）
这个 Skill 不负责把所有事情都做完，它主要负责一件事：先把用户问题正确分流到合适的法宝原生 MCP 能力或更窄的 Skill。
它和 pkulaw-legal-search 不重复：本 Skill 管原生 MCP 路由；pkulaw-legal-search 管网页/Computer Use 兜底、详情页核验和登录态操作。
如果用户已经明确是“只查法规”或“只查案例”，不要继续停留在总路由层，直接转到更窄的 Skill：
- 法规检索 -> pkulaw-mcp-law-retrieval
- 案例检索 -> pkulaw-mcp-case-retrieval
先看边界
- 这是总路由 Skill，不是最终交付 Skill。
- 默认任务是“判断走哪条能力链”，不是“自己把所有能力都跑一遍”。
- 如果某个窄 Skill 已经足够，就应立即转交，不要在这里继续泛化处理。
- 如果 MCP 不通、当前会话没加载对应工具、返回 401/403/超时/无结果、结果不足、需要详情页链接或需要网页登录态，不要在这里硬撑，立即转
pkulaw-legal-search的网页/Computer Use 流程。
必须遵守的规则
- 未成功拿到法宝 MCP 返回前，不得写出具体法规名称、条号、案号、法院名称或裁判要点。
- 工具名
<toolName>必须以pkulaw-mcp tools或 MCPtools/list为准，不得在正文中写死。 - 出现
401/403、无结果、工具不存在或配置缺失时，只能说明失败原因与建议动作。 - 每次先选择完成任务所需的最少服务；禁止为了“全面”而并发或顺序调用全部 10 项。
- 这是研究辅助与能力路由，不构成正式法律意见。
- MCP 路由失败时，默认后备不是空答，而是转
pkulaw-legal-search用网页/Computer Use 继续查。 - 控制台显示的积分是约数，调用前应以用户当时的控制台为准；本 Skill 的关键约束是相对成本顺序。
10 项服务分层
| 层级 | serverId | 任务 | 约积分/次 |
|---|---|---|---|
| 经济型 | fatiao |
已知法规名和条号，精准取法条 | 25 |
| 经济型 | law-keyword |
按标题词/正文词检索法规 | 25 |
| 经济型 | case-keyword |
按案由词/争点词检索案例 | 25 |
| 升级型 | law-semantic |
自然语言法规语义检索 | 125 |
| 升级型 | case-semantic |
案情相似性案例语义检索 | 125 |
| 专门型 | law-recognition |
从非结构化文本识别并溯源法条 | 125 |
| 专门型 | citation-validator |
核验和纠正法条引用 | 125 |
| 专门型 | doc-link |
给已核验依据补法宝链接 | 125 |
| 专门型 | case-number |
从文本识别案号并溯源 | 125 |
| 综合型 | semantic-nlsql |
无法可靠拆分的跨库综合检索 | 125 |
成本感知总路由
| 用户真正要做的事 | 首次调用 | 何时升级 |
|---|---|---|
| 只查法规依据 | 转 pkulaw-mcp-law-retrieval，先 law-keyword |
两轮有理由的关键词仍漏掉相关规范时，用一次 law-semantic |
| 已知法规名 + 条号取全文 | fatiao |
不自动升级；先核对法规名和条号 |
| 只查类案样本 | 转 pkulaw-mcp-case-retrieval，先 case-keyword |
两轮关键词仍找不到事实相似样本时，用一次 case-semantic |
| 已知完整案号找案例 | 先将完整案号交给 case-keyword |
没有精确匹配或要从长文本批量识别时，用 case-number |
| 核验文稿里的法条引用 | 引用已结构化时直接 citation-validator |
不额外调用其他 125 积分服务，除非需要先从长文本抽取引用 |
| 从长文本提取法条 | law-recognition |
提取后只有用户要求核验时，才继续 citation-validator |
| 给已核验引用补链接 | doc-link |
不用它做法规发现或引用核验 |
| 同时研究法规和案例 | 分别用 law-keyword + case-keyword，预计 50 积分 |
任务无法可靠拆分或仍有关键缺口时，才用一次 semantic-nlsql |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 134 lines · 127 tokens per session scan A ac23e111334b
pkulaw-mcp-legal-research is a skill published in the GitHub repository NEU-ZHA/legal-ai-skills (64 stars, last pushed 23d ago), licensed MIT. It adds 127 tokens to every session and 2,078 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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