What does the Pkulaw Mcp Regulatory Reply Check AI skill do?
监管回复函与说明材料的依据核查工作流，用于把回复函、问询答复、说明材料中的法规引用整理成可复核、可回源、可流转的核查底稿。Use when：律师、法务、合规、董办或监管回复支持团队需要在对外或审批前检查引用是否准确、完整、可追溯。NOT for：纯法规主题研究、完整专项法律意见书撰写、以及不需要交付级引用把关的轻量场景。要求先锁定核查范围，再逐条回源与核验；未核验的引用不得写为确定依据。
Why use Pkulaw Mcp Regulatory Reply Check on TypingMind?
Because you install it once and use it with any model. Pkulaw Mcp Regulatory Reply Check 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 Regulatory Reply Check 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-regulatory-reply-check. 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 Regulatory Reply Check?
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 Regulatory Reply Check?
As many as you like. As long as a model supports skills, you can use Pkulaw Mcp Regulatory Reply Check with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Is the Pkulaw Mcp Regulatory Reply Check 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.
