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-regulatory-reply-checkgit 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-regulatory-reply-check)<a href="https://agentmods.dev/skills/neu-zha/legal-ai-skills/pkulaw-mcp-regulatory-reply-check"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/pkulaw-mcp-regulatory-reply-check/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-regulatory-reply-check"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/pkulaw-mcp-regulatory-reply-check.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 | $0.00154 | $0.01175 |
| Opus 5 | $0.00077 | $0.00588 |
| Sonnet 5 | $0.00031 | $0.00235 |
| Haiku 4.5 | $0.00015 | $0.00118 |
Grade A, and why
pkulaw-mcp-regulatory-reply-check 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：Regulatory Reply Check（监管/回复函依据核查）
这个 Skill 是交付前引用把关层。 它不负责重新研究整个法律问题，而是专门检查回复函、说明材料、问询答复里的法规引用是否足够稳、足够可追溯。
这个 Skill 真正要完成的动作
把回复材料中的引用整理成：
- 哪些引用与当次返回一致
- 哪些引用仍需复核
- 哪些表述需要修正
- 哪些关键条文已完成回源
主对象与辅助对象
主对象
- 回复函、说明材料、问询答复中的引用段落
- 影响核心结论的法规、规范性文件、监管规则
辅助对象
- 内部沟通纪要
- 历史版本草稿
- 业务部门提供的说明文字
内部口径和草稿只能帮助理解背景，不能替代当次核验依据。
缺信息先追问
以下信息缺失时，先补充：
- 文档类型：监管回复函、客户回复函、说明材料、审批说明
- 核查范围：全文、重点段落、脚注、引用清单
- 哪些结论或段落属于高风险重点核查部分
- 是否存在明确法域、行业或监管口径限制
若拿不到全文，至少要求提供重点结论段落或引用清单。
推荐工作流
- 锁定范围：先确认只核哪些段落、哪些结论。
- 识别引用：用
law-recognition找出文中法规名、条号与潜在线索。 - 关键条文回源：对影响核心结论的条文，用
fatiao回源原文。 - 一致性核验：用
citation-validator检查引用表述与当次返回是否一致。 - 形成底稿：按“与当次返回一致 / 待复核 / 需修正”整理核查表。
- 链接增强：需要流转审核或沉淀时，用
doc-link生成可追溯版本。
输出纪律
- 重点不是证明草稿正确，而是暴露风险引用。
- “与当次返回一致”不等于已完成实体法律审查。
- 简称不清、条号不稳、新旧法衔接不明时，优先标“待复核”。
- 对影响核心结论的条文，尽量至少完成一次回源。
质量门槛
- 每条“与当次返回一致”都必须有当次依据。
- 关键条文至少完成一次
fatiao回源。 - 未命中或歧义项必须标“待复核”。
- 需要流转时，优先提供
doc-link增强版本。
失败与降级
law-recognition命中不足：先按已有明确引用逐条核，不扩写成全面法规研究。fatiao命中失败：保留法规名和条号线索，标记“待回源”。citation-validator不可用：只能写“引用待核验”，不能写“引用准确”。
配套文件
- 核查底稿模板：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 · 101 lines · 154 tokens per session scan A 16d6c261930a
pkulaw-mcp-regulatory-reply-check is a skill published in the GitHub repository NEU-ZHA/legal-ai-skills (64 stars, last pushed 23d ago), licensed MIT. It adds 154 tokens to every session and 1,175 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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