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-grounded-answergit 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-grounded-answer)<a href="https://agentmods.dev/skills/neu-zha/legal-ai-skills/pkulaw-mcp-grounded-answer"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/pkulaw-mcp-grounded-answer/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-grounded-answer"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/pkulaw-mcp-grounded-answer.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 | $0.00161 | $0.01267 |
| Opus 5 | $0.00081 | $0.00633 |
| Sonnet 5 | $0.00032 | $0.00253 |
| Haiku 4.5 | $0.00016 | $0.00127 |
Grade A, and why
pkulaw-mcp-grounded-answer 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.
What it actually says
北大法宝 MCP：Grounded Answer（通用法律答复）
这个 Skill 是通用交付层，适合把法律问题整理成一份可复核、可继续修改、可用于沟通的答复草稿。
如果问题已经明显属于某个垂直场景，例如劳动用工、公司治理研究备忘、合同批量筛查，应优先转到更窄的组合 Skill，而不是继续停留在这里。
这个 Skill 真正要完成的动作
当用户说“帮我回复客户”“给我一个法律口径”“整理成可发给业务的答复”时，不要停在检索列表，而要产出：
- 简短结论
- 主要依据
- 风险提示
- 待复核点
- 可追溯版本（如需要）
先看边界
- 这是通用法律答复 Skill，不是垂直行业或专业场景的专用答复 Skill。
- 目标是形成“初步答复草稿”，不是正式法律意见书。
- 若已有垂直 Skill 更合适，应优先转交，而不是在这里泛化处理。
缺信息先追问
以下信息缺失时，先补 1-2 个最关键问题，不要直接写结论：
- 适用法域或地域
- 关键事实前提
- 时间点或版本要求
- 交付对象：内部讨论、客户回复、审批说明、对外发函
- 是否需要类案支撑
如果用户一时无法补齐，也只能按“有限事实前提下的初步答复草稿”输出。
推荐工作流
- 界定任务：确认用户要的是答复草稿，而不是检索列表。
- 补足前提：先补法域、时点、关键事实、交付对象。
- 检索取数：规则问题优先用法规检索；需要裁判倾向时再补案例检索。
- 草稿成形：先写“结论 + 依据 + 前提 + 风险提示”。
- 引用核验：出现具体法条、司法解释或精确引用时，走
citation-validator。 - 链接增强：需要转发、审批或沉淀时，用
doc-link做增强。 - 标注边界：把“已核验 / 待复核 / 仍缺事实”分开写。
输出纪律
- 只在已检索依据覆盖的范围内表达结论。
- 不写“明确合法”“一定胜诉”“可以直接执行”等绝对化措辞。
- 事实不足处要单列，不与结论混写。
- 面向客户、领导或审批流时，优先输出“短结论 + 依据列表 + 待复核点”。
质量门槛
- 没有无来源法条、案号或裁判要点。
- 每个关键结论至少能回到一条当次检索依据。
- 重要引用经过
citation-validator，或明确标注未核验。 - 需要流转时，优先提供
doc-link增强版本。
失败与降级
citation-validator不可用：只能标注“引用未核验”，不能写“已确认”。doc-link不可用：先交付纯文本并声明“链接待补”。- 检索为空：返回“未检索到足够依据”，并给出下一步检索建议。
- 事实前提不足：输出“基于当前已知事实的初步答复草稿”，并列出仍需补充的信息。
配套文件
- 输出模板：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.
- 12d ago First seen · 97 lines · 161 tokens per session scan A 2e2030a5e6e7
pkulaw-mcp-grounded-answer is a skill published in the GitHub repository NEU-ZHA/legal-ai-skills (64 stars, last pushed 23d ago), licensed MIT. It adds 161 tokens to every session and 1,267 once invoked, about $0.0008 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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