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-law-recognitiongit 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-law-recognition)<a href="https://agentmods.dev/skills/neu-zha/legal-ai-skills/pkulaw-mcp-law-recognition"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/pkulaw-mcp-law-recognition/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-law-recognition"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/pkulaw-mcp-law-recognition.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 | $0.00131 | $0.00855 |
| Opus 5 | $0.00066 | $0.00428 |
| Sonnet 5 | $0.00026 | $0.00171 |
| Haiku 4.5 | $0.00013 | $0.00085 |
Grade A, and why
pkulaw-mcp-law-recognition 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：法条识别与溯源（law-recognition）
这个 Skill 只负责一件事：从现有文本里识别潜在法规引用，并给出可继续核查的线索。
识别结果本身不是最终正式引用。 如果需要条文原文，应继续转到精准法条 Skill；如果只是想找某个主题相关法规，应转到法规检索 Skill。
先看边界
- 识别出来的法规名、条号、线索，只能视为候选结果或核查起点。
- 对低置信、歧义命中、简称匹配、旧法名称映射等情况，必须标记人工复核。
- 不能把“识别到了某条法规”直接写成“该条法规当然适用”。
默认路由
- 输入是一段已有文本，里面可能包含法规引用：
- 走
law-recognition
- 走
- 输入是“帮我找某主题法规”：
- 转
pkulaw-mcp-law-retrieval
- 转
- 输入是“已知法规名 + 条号，要看原文”：
- 转
pkulaw-mcp-fatiao-precise
- 转
推荐工作流
- 确认输入是待识别文本，而不是纯检索问题。
- 用
tools确认真实<toolName>与参数名。 - 提交待识别文本。
- 输出识别到的法规名、条款信息与溯源线索。
- 对低置信或歧义命中单列“需人工复核”。
失败与降级
允许的失败输出
当前未拿到法条识别结果。
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
- 检查输入文本是否包含明确法规表达
- 如需先找法规主题，请转到法规检索路径
允许的保守输出
- 低置信或歧义命中 -> 标记“需人工复核”
- 不得把候选线索写成已确认引用
输出结构
- 识别结果
- 溯源线索
- 置信提示
- 待人工复核项
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 law-recognition
pkulaw-mcp law-recognition <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 · 131 tokens per session scan A 177da724851d
pkulaw-mcp-law-recognition is a skill published in the GitHub repository NEU-ZHA/legal-ai-skills (64 stars, last pushed 23d ago), licensed MIT. It adds 131 tokens to every session and 855 once invoked, about $0.0007 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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