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palmpalm7

Xiaohongshu Deep Research

by Andy Xie · GitHub ↗ · v1.2.1
cross-platform ⚠ suspicious
8769
Downloads
11
Stars
66
Active Installs
4
Versions
Install in OpenClaw
/install xiaohongshu-deep-research
Description
Deep research on Xiaohongshu (小红书) topics. Use when user wants to research a topic, analyze trends, gather insights from top posts, or produce a summary repo...
Usage Guidance
Review before installing. Use a dedicated Xiaohongshu account if possible, confirm exactly what the local MCP service can access, avoid sensitive search terms, and periodically delete or relocate saved raw crawl data. Do not let an agent interpolate untrusted keywords into shell commands unless they are safely quoted or passed through structured JSON tooling.
Capability Analysis
Type: OpenClaw Skill Name: xiaohongshu-deep-research Version: 1.2.1 The skill is classified as suspicious due to a potential shell injection vulnerability in `references/workflow.md`. The `curl` command used to interact with the local `xiaohongshu-mcp` service (`http://localhost:18060`) takes a `keyword` parameter. If the AI agent directly interpolates user input into this `keyword` field without proper sanitization before executing the `curl` command, it could lead to arbitrary command execution on the host system. While the command's intent is benign (searching), this represents a significant security flaw in how the skill might be executed by a vulnerable agent.
Capability Assessment
Purpose & Capability
Searching and crawling Xiaohongshu content through a local service fits the stated deep-research purpose, but it depends on an authenticated Xiaohongshu session.
Instruction Scope
The workflow appears to use a logged-in account for automated collection without clear scoping, confirmation, rate-limit, or platform-policy/account-risk guidance.
Install Mechanism
No hidden installer or unexpected package behavior was evident from the supplied materials, but operation depends on a local xiaohongshu-mcp service on localhost.
Credentials
Authenticated platform access is proportionate to the research goal, but higher-impact than ordinary public web research and under-disclosed for account and privacy consequences.
Persistence & Privilege
The skill stores crawled raw post data, generated summaries, and metadata locally, but the supplied materials do not show clear retention, storage-location, or opt-out controls.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install xiaohongshu-deep-research
  3. After installation, invoke the skill by name or use /xiaohongshu-deep-research
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.1
文件夹命名改为 YYYYMMDD_HHmm 格式
v1.2.0
报告加入帖子链接,新增速览部分(可直接转发),优化写作风格
v1.1.0
移除评论采集功能(API 限制无法获取),简化工作流,添加已知限制说明
v1.0.0
Initial release: 小红书深度研究技能,自动爬取关键词帖子+高赞评论,生成分析报告
Metadata
Slug xiaohongshu-deep-research
Version 1.2.1
License
All-time Installs 311
Active Installs 66
Total Versions 4
Frequently Asked Questions

What is Xiaohongshu Deep Research?

Deep research on Xiaohongshu (小红书) topics. Use when user wants to research a topic, analyze trends, gather insights from top posts, or produce a summary repo... It is an AI Agent Skill for Claude Code / OpenClaw, with 8769 downloads so far.

How do I install Xiaohongshu Deep Research?

Run "/install xiaohongshu-deep-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Xiaohongshu Deep Research free?

Yes, Xiaohongshu Deep Research is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Xiaohongshu Deep Research support?

Xiaohongshu Deep Research is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Xiaohongshu Deep Research?

It is built and maintained by Andy Xie (@palmpalm7); the current version is v1.2.1.

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