Xhs Interact logo

Xhs Interact

Organization
autoclaw-cc
xhs-interact

对小红书笔记进行互动:点赞/取消点赞、收藏/取消收藏、发表评论、回复评论。 当用户想对小红书笔记进行互动时使用——赞一下、收藏一下、留个评论、回复某条评论、取消点赞、取消收藏等。

Overview

Publisherautoclaw-cc
Repositoryxiaohongshu-mcp-skills
Skill namexhs-interact
Stars
275
Forks
47
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Xhs Interact 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/skills/xhs-interact
  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 /tmp/xiaohongshu-mcp-skills
mkdir -p .claude/skills
cp -r /tmp/xiaohongshu-mcp-skills/skills/xhs-interact .claude/skills/xhs-interact
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Xhs Interact 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 Xhs Interact 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 Xhs Interact 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.

输入判断

根据用户意图路由:

  • 点赞/取消点赞 → 点赞流程
  • 收藏/取消收藏 → 收藏流程
  • 发表评论 → 评论流程
  • 回复评论 → 回复流程

约束

  • 评论和回复执行前展示内容让用户确认(评论以用户身份公开发表,无法撤回)
  • 点赞和收藏可直接执行(操作可逆,MCP 服务有幂等处理)
  • 所有操作都需要 feed_id + xsec_token(来自搜索或详情结果,编造会导致报错)

执行流程

点赞

调用 like_feed:

  • feed_id(string,必填)
  • xsec_token(string,必填)
  • unlike(bool,可选)— true 取消点赞,默认 false 点赞

已点赞时再点赞会自动跳过,反之同理。

收藏

调用 favorite_feed:

  • feed_id(string,必填)
  • xsec_token(string,必填)
  • unfavorite(bool,可选)— true 取消收藏,默认 false 收藏

已收藏时再收藏会自动跳过,反之同理。

发表评论

调用 post_comment_to_feed:

  • feed_id(string,必填)
  • xsec_token(string,必填)
  • content(string,必填)— 评论内容

发送前展示评论内容让用户确认。

回复评论

调用 reply_comment_in_feed:

  • feed_id(string,必填)
  • xsec_token(string,必填)
  • comment_id(string,可选)— 目标评论 ID
  • user_id(string,可选)— 目标评论作者 ID
  • content(string,必填)— 回复内容

comment_id 和 user_id 至少提供一个。

发送前展示回复内容让用户确认。

失败处理

场景处理
未登录引导使用 xhs-login
缺少 feed_id/xsec_token提示先搜索或浏览获取笔记信息
笔记不可评论告知用户该笔记已关闭评论

Frequently asked questions

What does the Xhs Interact AI skill do?

对小红书笔记进行互动:点赞/取消点赞、收藏/取消收藏、发表评论、回复评论。 当用户想对小红书笔记进行互动时使用——赞一下、收藏一下、留个评论、回复某条评论、取消点赞、取消收藏等。

Why use Xhs Interact on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/autoclaw-cc/xiaohongshu-mcp-skills/tree/main/skills/xhs-interact. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Xhs Interact?

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 Xhs Interact?

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

Is the Xhs Interact 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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