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-case-numbergit 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-case-number)<a href="https://agentmods.dev/skills/neu-zha/legal-ai-skills/pkulaw-mcp-case-number"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/pkulaw-mcp-case-number/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-case-number"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/pkulaw-mcp-case-number.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 | $0.00118 | $0.00772 |
| Opus 5 | $0.00059 | $0.00386 |
| Sonnet 5 | $0.00024 | $0.00154 |
| Haiku 4.5 | $0.00012 | $0.00077 |
Grade A, and why
pkulaw-mcp-case-number 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：案号识别与溯源（case-number）
这个 Skill 只负责一件事：从现有文本里识别案号，并给出可核查的案件线索。
它不负责替代案例实体分析。 如果用户真正要的是“找类似案例怎么判”，应转到案例检索或类案备忘 Skill。
先看边界
- 输出应理解为案号线索，而不是已经完成实体分析。
- 对格式不完整、年份缺失、法院简称缺失、OCR 噪声、批量文本混杂等情况，只能标成待核查线索。
- 不能把疑似案号写成已确认案件信息。
默认路由
- 文本里疑似包含案号：
- 走
case-number
- 走
- 用户只描述争议点，想找类案：
- 转
pkulaw-mcp-case-retrieval
- 转
推荐工作流
- 确认输入是待识别文本，而不是案例检索需求。
- 用
tools确认真实<toolName>与参数名。 - 提交文本进行案号识别。
- 输出识别到的案号列表和溯源命中情况。
- 对格式异常或歧义项标记“待人工确认”。
失败与降级
允许的失败输出
当前未拿到案号识别结果。
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
- 检查文本中的案号格式和完整度
- 如真正需求是找类案，请改走案例检索路径
允许的保守输出
- 对歧义项标记“待人工确认”
- 不得把疑似案号写成已确认事实
输出结构
- 识别到的案号列表
- 溯源命中情况
- 待人工确认项
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 case-number
pkulaw-mcp case-number <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 · 86 lines · 118 tokens per session scan A 83193db06b84
pkulaw-mcp-case-number is a skill published in the GitHub repository NEU-ZHA/legal-ai-skills (64 stars, last pushed 23d ago), licensed MIT. It adds 118 tokens to every session and 772 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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