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在 OpenClaw 中安装
/install xiaohongshu-deep-research
功能描述
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...
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install xiaohongshu-deep-research - 安装完成后，直接呼叫该 Skill 的名称或使用
/xiaohongshu-deep-research触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
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
元数据
常见问题
Xiaohongshu Deep Research 是什么？
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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 8766 次。
如何安装 Xiaohongshu Deep Research？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install xiaohongshu-deep-research」即可一键安装，无需额外配置。
Xiaohongshu Deep Research 是免费的吗？
是的，Xiaohongshu Deep Research 完全免费（开源免费），可自由下载、安装和使用。
Xiaohongshu Deep Research 支持哪些平台？
Xiaohongshu Deep Research 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Xiaohongshu Deep Research？
由 Andy Xie（@palmpalm7）开发并维护，当前版本 v1.2.1。
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