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-fatiao-precisegit 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-fatiao-precise)<a href="https://agentmods.dev/skills/neu-zha/legal-ai-skills/pkulaw-mcp-fatiao-precise"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/pkulaw-mcp-fatiao-precise/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-fatiao-precise"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/pkulaw-mcp-fatiao-precise.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 | $0.00124 | $0.00830 |
| Opus 5 | $0.00062 | $0.00415 |
| Sonnet 5 | $0.00025 | $0.00166 |
| Haiku 4.5 | $0.00012 | $0.00083 |
Grade A, and why
pkulaw-mcp-fatiao-precise 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：精准查找法条（fatiao）
这个 Skill 只负责一件事：在已知法规名 + 条号的情况下，把条文原文取回来。
它不负责模糊主题检索，也不负责自动识别文本中的法条引用。 如果用户只给了主题词，应该转法规检索；如果用户给的是长文本，应该转法条识别。
先看边界
- 本 Skill 用来取回条文内容，不自动判断该条是否当然适用于案件或项目。
- 返回结果仍需结合时效、修订版本、适用范围、地域、上位法/特别法关系继续判断。
- 法规名称、别名、条号格式存在歧义时，应先澄清，不要把模糊命中写成确定依据。
默认路由
- 输入中同时出现“法规名 + 第X条 / 条号”：
- 直接走
fatiao
- 直接走
- 只有主题词：
- 转
pkulaw-mcp-law-retrieval
- 转
- 输入是一段长文本，里面可能有法条：
- 转
pkulaw-mcp-law-recognition
- 转
推荐工作流
- 先确认用户已经给了法规名和条号。
- 用
tools确认真实<toolName>与参数名。 - 调用目标工具，传入法规名关键词与条号。
- 只整理返回字段，不补写未返回的条文内容。
- 明确提示仍需复核时效与适用前提。
失败与降级
允许的失败输出
当前未拿到精准法条查询结果。
失败原因：
- [未认证 / 无订阅 / 无结果 / 工具不存在 / 命令报错]
建议动作：
- 检查 `pkulaw-mcp` 配置
- 确认法规全称、别名与条号格式
- 如仅有主题词，请改走法规检索路径
允许的保守输出
- 只能返回命中法规、条号与条文正文（如有）
- 不得补写未返回的原文
输出结构
- 命中法规
- 条号
- 条文正文
- 复核提醒
终端复现与排障
如需在终端复现，请先安装 @pkulaw/mcp-cli；安装后命令为 pkulaw-mcp。
pkulaw-mcp tools fatiao
pkulaw-mcp fatiao <toolName> ... --json
补充材料
- 示例见 examples.md
What ships with it
3 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 · 89 lines · 124 tokens per session scan A 0da7f32bfe89
pkulaw-mcp-fatiao-precise is a skill published in the GitHub repository NEU-ZHA/legal-ai-skills (64 stars, last pushed 23d ago), licensed MIT. It adds 124 tokens to every session and 830 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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