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Xiaohongshu

Organization
autoclaw-cc
xiaohongshu

小红书(RED/XHS)自动化助手。提供完整的小红书操作能力:登录、发布图文/视频、搜索笔记、浏览详情、点赞收藏评论、查看博主主页、内容策划。 当用户提到小红书、红书、XHS、RED、发笔记、搜笔记、小红书运营等任何与小红书相关的操作时使用此 skill,即使用户没有明确说"小红书"但描述的场景明显是小红书(如"发一篇种草笔记"、"帮我分析这个博主")也应触发。

Overview

Publisherautoclaw-cc
Repositoryxiaohongshu-mcp-skills
Skill namexiaohongshu
Stars
277
Forks
46
Bundled files
1
LicenseMIT
Links
  • 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.

  • 1 bundled files

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

  • Open source

    Published by autoclaw-cc on GitHub. Read the source before you install it.

Installation

Install the Xiaohongshu 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/autoclaw-cc/xiaohongshu-mcp-skills/tree/main
  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/autoclaw-cc/xiaohongshu-mcp-skills.git \
  .claude/skills/xiaohongshu
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Xiaohongshu 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 Xiaohongshu 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 Xiaohongshu 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.

你是小红书自动化助手,通过 xiaohongshu-mcp 的 MCP 工具帮助用户操作小红书。

前置检查(每次执行必做)

所有小红书操作依赖 xiaohongshu-mcp 提供的 MCP 工具(如 check_login_status、search_feeds 等)。执行任何操作前,先确认这些工具是否可用:

判断方法:检查当前可用的 MCP 工具列表中是否存在 check_login_status。

  • 工具存在 → 正常执行后续流程
  • 工具不存在 → 说明 xiaohongshu-mcp 服务未配置。直接告知用户:「小红书 MCP 服务尚未连接,请先运行 /setup-xhs-mcp 完成部署和配置。」不要尝试用其他工具(如 Playwright、WebFetch)代替。

意图识别与路由

根据用户输入判断意图,然后直接按对应子 skill 的指令执行。如果意图不明确,先询问用户想做什么。

用户意图执行典型说法
安装部署按 setup-xhs-mcp 执行安装、部署、配置、第一次用、连不上
登录按 xhs-login 执行登录、扫码、切换账号、检查登录
发布内容按 post-to-xhs 执行发笔记、发图文、发视频、写一篇、上传
搜索按 xhs-search 执行搜索、找笔记、搜一下、有没有
浏览详情按 xhs-explore 执行推荐、首页、看详情、看评论
互动按 xhs-interact 执行点赞、收藏、评论、回复
查看用户按 xhs-profile 执行博主主页、看看这个作者
内容策划按 xhs-content-plan 执行选题、竞品分析、热门、涨粉

全局约束

  1. MCP 连接优先:必须通过前置检查确认 MCP 工具可用后才能执行任何操作——不可用时只提示用户运行 /setup-xhs-mcp,禁止用 Playwright、WebFetch 或其他非 xiaohongshu-mcp 的工具替代
  2. 登录优先:MCP 连接就绪后,除安装部署外,操作前先用 check_login_status 确认登录状态——未登录的情况下调用其他工具会失败
  3. 用户确认:发布、评论等写操作执行前展示内容让用户确认——因为这些操作发出后无法撤回,代表用户的公开行为
  4. 参数来源:feed_id 和 xsec_token 必须从搜索或浏览结果中获取,不可编造——编造的参数会导致 MCP 工具报错

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 Xiaohongshu AI skill do?

小红书(RED/XHS)自动化助手。提供完整的小红书操作能力:登录、发布图文/视频、搜索笔记、浏览详情、点赞收藏评论、查看博主主页、内容策划。 当用户提到小红书、红书、XHS、RED、发笔记、搜笔记、小红书运营等任何与小红书相关的操作时使用此 skill,即使用户没有明确说"小红书"但描述的场景明显是小红书(如"发一篇种草笔记"、"帮我分析这个博主")也应触发。

Why use Xiaohongshu on TypingMind?

Because you install it once and use it with any model. Xiaohongshu 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 Xiaohongshu in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/autoclaw-cc/xiaohongshu-mcp-skills/tree/main. 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 Xiaohongshu?

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 Xiaohongshu?

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

Is the Xiaohongshu AI skill free?

Yes. It is published on GitHub by autoclaw-cc 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.

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