TypingMindTypingMindThe best frontend for AI
Pkulaw Mcp Law Recognition logo

Pkulaw Mcp Law Recognition

Community
NEU-ZHA
pkulaw-mcp-law-recognition

法条识别与溯源，用于从合同、函件、答复、备忘或其他长文本里识别潜在法规引用，并给出可继续核查的来源线索。Use when：用户已经有一段文本，想自动识别其中提到的法规名、条号或引用表达。NOT for：法规主题检索、已知法规名加条号的精准全文查询、案例检索。要求禁止编造法规名、条号与溯源链接，识别结果必须以当次 MCP 返回为准。

Overview

PublisherNEU-ZHA
Repositorylegal-ai-skills
Skill namepkulaw-mcp-law-recognition
Stars
70
Forks
7
Bundled files
2
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by NEU-ZHA on GitHub. Read the source before you install it.

Installation

Install the Pkulaw Mcp Law Recognition AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/NEU-ZHA/legal-ai-skills/tree/main/skills/pkulaw-mcp-law-recognition
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/NEU-ZHA/legal-ai-skills.git /tmp/legal-ai-skills
mkdir -p .claude/skills
cp -r /tmp/legal-ai-skills/skills/pkulaw-mcp-law-recognition .claude/skills/pkulaw-mcp-law-recognition
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pkulaw Mcp Law Recognition in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pkulaw Mcp Law Recognition on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pkulaw Mcp Law Recognition is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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
  • 输入是“帮我找某主题法规”：
    • 转 pkulaw-mcp-law-retrieval
  • 输入是“已知法规名 + 条号，要看原文”：
    • 转 pkulaw-mcp-fatiao-precise

推荐工作流

  1. 确认输入是待识别文本，而不是纯检索问题。
  2. 用 tools 确认真实 <toolName> 与参数名。
  3. 提交待识别文本。
  4. 输出识别到的法规名、条款信息与溯源线索。
  5. 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

markdown
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

  1. 识别结果
  2. 溯源线索
  3. 置信提示
  4. 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。

bash
pkulaw-mcp tools law-recognition
pkulaw-mcp law-recognition <toolName> ... --json

补充材料

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Pkulaw Mcp Law Recognition AI skill do?

法条识别与溯源，用于从合同、函件、答复、备忘或其他长文本里识别潜在法规引用，并给出可继续核查的来源线索。Use when：用户已经有一段文本，想自动识别其中提到的法规名、条号或引用表达。NOT for：法规主题检索、已知法规名加条号的精准全文查询、案例检索。要求禁止编造法规名、条号与溯源链接，识别结果必须以当次 MCP 返回为准。

Why use Pkulaw Mcp Law Recognition on TypingMind?

Because you install it once and use it with any model. Pkulaw Mcp Law Recognition is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pkulaw Mcp Law Recognition in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NEU-ZHA/legal-ai-skills/tree/main/skills/pkulaw-mcp-law-recognition. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Pkulaw Mcp Law Recognition?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pkulaw Mcp Law Recognition?

As many as you like. As long as a model supports skills, you can use Pkulaw Mcp Law Recognition with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pkulaw Mcp Law Recognition AI skill free?

Yes. It is published on GitHub by NEU-ZHA under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Related AI Skills

View all
ruvnet logo

Browser Record

ruvnet
CommunityPopular

Open a named, traced browser session into an RVF cognitive container with a ruvector trajectory recording every action

8.6K
72.7K
Instructions
View
ruvnet logo

Init Project

ruvnet
CommunityPopular

Initialize a new Ruflo project with MCP tools, hooks, and agent configuration. Use when setting up Ruflo in a fresh repo, or when the user says "init ruflo", "set up ruflo", or asks how to bootstrap…

8.6K
72.7K
Instructions
View
CherryHQ logo

Cherry Assistant Guide

CherryHQ
OrganizationPopular

从当前安装包查询 Cherry Studio 产品信息并排查运行问题。当用户询问功能、路由、快捷键、Provider、语言、Agent、频道、定时任务、Code CLI、当前版本，或报告运行错误、连接失败、配置异常并需要诊断时触发。

5.1K
52.5K
1 files
View
CherryHQ logo

Cherry Skill Marketplace

CherryHQ
OrganizationPopular

当用户明确要求搜索、安装、查看、卸载或创建 Skill，或内置 Skill / 工具出现能力缺口、无法完成当前任务时触发。通过 `mcp__skills__search_skills` 搜索并用 `mcp__skills__install_skill` 安装；已安装 Skill 的查看和删除通过产品清单导航到 Skills UI；没有合适结果时调用内置 `skill-creator`…

5.1K
52.5K
Instructions
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇