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-governance-research-memogit 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-governance-research-memo)<a href="https://agentmods.dev/skills/neu-zha/legal-ai-skills/pkulaw-mcp-governance-research-memo"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/pkulaw-mcp-governance-research-memo/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-governance-research-memo"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/pkulaw-mcp-governance-research-memo.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 | $0.00113 | $0.01202 |
| Opus 5 | $0.00056 | $0.00601 |
| Sonnet 5 | $0.00023 | $0.00240 |
| Haiku 4.5 | $0.00011 | $0.00120 |
Grade A, and why
pkulaw-mcp-governance-research-memo 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 13d 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.
What it actually says
北大法宝 MCP：Governance Research Memo（公司治理研究备忘）
这个 Skill 是研究备忘层，适合处理股权、决议、控制权、董监高责任、关联交易等跨规则与实践的问题。
它的特点不是“直接回答”，而是先综合召回，再把法规线与案例线拆开写成研究备忘。
这个 Skill 真正要完成的动作
把公司治理问题压缩成：
- 研究问题与范围
- 主要规则线索
- 主要案例线索
- 初步倾向与反向风险
- 待进一步研究的问题
主对象与辅助对象
主对象
- 公司治理问题本身：股权转让、股东会/董事会决议、公司控制权、董监高责任、关联交易等
- 当次综合召回到的法规、案例、法条、研究资料
辅助对象
- 客户背景材料
- 历史备忘
- 内部讨论纪要
辅助对象只用于帮助限定研究范围，不替代当次检索依据。
缺信息先追问
以下信息缺失时，先补充：
- 研究问题一句话定义
- 公司类型或交易场景
- 是否限定法域、地区、时间范围
- 更关注规则依据、裁判实践还是综合研究
- 最终用途：内部研讨、客户沟通、项目论证、进一步写正式意见
若问题本身很宽，先把研究问题缩成 1-2 个明确子问题。
推荐工作流
- 界定问题：把宽泛问题缩成可检索的研究问题。
- 经济型召回：先拆成法规与案例问题，分别用
law-keyword和case-keyword检索。 - 必要时升级：问题无法可靠拆分或两条关键词路径仍有关键缺口时，再用一次
semantic-nlsql。 - 形成备忘：规则、案例、初步倾向、反向风险、待研究问题分开写。
- 核验引用：明确法条或司法解释时，用
citation-validator核验。 - 链接增强：需要流转或沉淀时，用
doc-link做增强。
输出纪律
- 不把综合召回结果直接写成最终法律结论。
- 不把有限样本概括成“公司治理的一般规则”或“司法一贯观点”。
- 对研究范围、样本局限、资料混杂要单独提示。
- 若问题仍过宽，要把“下一步研究问题”单列出来。
质量门槛
- 每条主要结论都能回到当次检索依据。
- 规则与案例线索分开写，避免混同。
- 重要法条引用经过
citation-validator或明确标注未核验。 - 综合召回结果已进一步分流，不直接原样堆砌。
失败与降级
semantic-nlsql未配置或不可用：拆成法规检索 + 案例检索多轮处理。- 样本过多且分散：先聚焦 1-2 个子问题，不要一次覆盖全部治理议题。
- 类案不足：明确写“当前案例样本有限，不能据此概括稳定裁判倾向”。
配套文件
- 研究备忘模板：template.md
- 真实业务示例：examples.md
关联 Skill
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.
- 13d ago First seen · 106 lines · 113 tokens per session scan A 5795eabefbf2
pkulaw-mcp-governance-research-memo is a skill published in the GitHub repository NEU-ZHA/legal-ai-skills (64 stars, last pushed 23d ago), licensed MIT. It adds 113 tokens to every session and 1,202 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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