Xhs Login logo

Xhs Login

Organization
autoclaw-cc
xhs-login

管理小红书登录状态:检查是否已登录、二维码扫码登录、重置登录切换账号。 当用户提到登录、扫码、账号、切换账号、退出登录、登录状态检查,或其他 skill 报告"未登录"需要先登录时使用。

Overview

Publisherautoclaw-cc
Repositoryxiaohongshu-mcp-skills
Skill namexhs-login
Stars
277
Forks
46
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 Login 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-login
  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-login .claude/skills/xhs-login
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Xhs Login 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 Login 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 Login 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.

执行流程

1. 检查登录状态

调用 check_login_status(无参数),返回是否已登录及用户名。

  • 已登录 → 告知用户当前登录账号
  • 未登录 → 进入步骤 2

2. 扫码登录

调用 get_login_qrcode(无参数)。MCP 工具返回两部分内容:

  • 文本:超时提示(含截止时间)
  • 图片:PNG 格式二维码(MCP image content type,Base64 编码)

展示二维码:MCP 返回的图片会通过客户端渲染给用户。如果客户端无法直接展示图片(如纯文本终端),则将 Base64 数据保存为临时 PNG 文件,告知用户文件路径让其手动打开:

bash
# fallback: 保存二维码到临时文件
echo "<base64_data>" | base64 -d > /tmp/xhs-qrcode.png
open /tmp/xhs-qrcode.png   # macOS
xdg-open /tmp/xhs-qrcode.png  # Linux

提示用户:

  • 打开小红书 App 扫描二维码
  • 二维码有效期有限,过期需重新获取

扫码完成后,调用 check_login_status 确认登录成功。

3. 重新登录 / 切换账号

当用户要求重新登录或切换账号时:

  1. 调用 delete_cookies(⚠️ 需用户确认)— 清除当前登录状态
  2. 调用 get_login_qrcode — 获取新二维码
  3. 引导用户扫码

约束

  • delete_cookies 会清除登录状态,执行前必须确认
  • 登录需要用户手动用手机 App 扫码,无法自动完成

失败处理

场景处理
MCP 工具不可用引导用户使用 /setup-xhs-mcp 完成部署和连接配置
二维码超时重新调用 get_login_qrcode

Frequently asked questions

What does the Xhs Login AI skill do?

管理小红书登录状态:检查是否已登录、二维码扫码登录、重置登录切换账号。 当用户提到登录、扫码、账号、切换账号、退出登录、登录状态检查,或其他 skill 报告"未登录"需要先登录时使用。

Why use Xhs Login on TypingMind?

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

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

Which AI models can use Xhs Login?

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 Login?

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

Is the Xhs Login 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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