搜索小红书笔记，支持关键词搜索和多维度筛选（排序、内容类型、时间范围、位置等）。 当用户想在小红书上搜索、查找内容时使用——包括搜笔记、找攻略、看看小红书上有没有某某内容、搜一下、查一查等场景。
| Publisher | autoclaw-cc |
| Repository | xiaohongshu-mcp-skills |
| Skill name | xhs-search |
| Stars | 277 |
| Forks | 46 |
| Bundled files | Instructions only |
| License | MIT |
| Links |
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Everything the model needs lives in the instructions — no extra files to sync.
Published by autoclaw-cc on GitHub. Read the source before you install it.
Install the Xhs Search AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.
TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.
https://github.com/autoclaw-cc/xiaohongshu-mcp-skills/tree/main/skills/xhs-searchAny agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.
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-search .claude/skills/xhs-searchEnable Xhs Search 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.
AI skills are plain Markdown instructions rather than provider-specific code, so Xhs Search 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.
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.
This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.
从用户输入中提取：
keyword（必填）— 搜索关键词filters（可选）— 筛选条件调用 search_feeds：
keyword（string，必填）filters（object，可选）：
sort_by：综合 | 最新 | 最多点赞 | 最多评论 | 最多收藏note_type：不限 | 视频 | 图文publish_time：不限 | 一天内 | 一周内 | 半年内search_scope：不限 | 已看过 | 未看过 | 已关注location：不限 | 同城 | 附近将搜索结果整理为列表展示，每条包含：
feed_id 和 xsec_token（后续操作需要）提示用户可以：
| 场景 | 处理 |
|---|---|
| 未登录 | 引导使用 xhs-login 登录 |
| 无搜索结果 | 建议调整关键词或筛选条件 |
搜索小红书笔记，支持关键词搜索和多维度筛选（排序、内容类型、时间范围、位置等）。 当用户想在小红书上搜索、查找内容时使用——包括搜笔记、找攻略、看看小红书上有没有某某内容、搜一下、查一查等场景。
Because you install it once and use it with any model. Xhs Search 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.
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/autoclaw-cc/xiaohongshu-mcp-skills/tree/main/skills/xhs-search. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.
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.
As many as you like. As long as a model supports skills, you can use Xhs Search with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
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.
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.
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.
Memory Reflect
Answer questions about history, habits and past decisions by reasoning over Hindsight memory. Use when asked what was decided about something, how something is usually done, what changed over time, or…
To Questionnaire
Turn a decision you can't fully answer into a questionnaire for someone else to fill in.
Wait What
Stop. That last message did not land: re-pitch it.
Get Search View Results
Get the current search results from the Search view in VS Code
Get notified about new features and future giveaways by subscribing to our newsletter 👇
