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在 OpenClaw 中安装
/install xhs-search
功能描述
小红书内容搜索技能。通过 MCP 协议调用 xiaohongshu-mcp 工具,搜索小红书笔记、用户主页、评论等。支持关键词搜索、热度排序、内容详情提取。当用户说"搜一下小红书"、"分析小红书"、"查找小红书帖子"、"生成小红书报告"时触发此技能。
安全使用建议
This skill appears to implement a legitimate local client for searching XiaoHongShu, but it requires you to install a third‑party binary that asks you to log in via QR and stores local cookies. That external tool exposes both read and write APIs (search, get_detail, but also like_feed and publish_content). Before installing: 1) review the xiaohongshu-mcp GitHub repo and its source code or build from source; 2) verify the release artifact (checksums/signatures) rather than blindly running the tarball; 3) consider running the MCP tool in an isolated environment (VM/container) and not with your main account, since cookies can be long‑lived; 4) if you will allow autonomous agent invocation, explicitly restrict the skill to read-only methods or disable autonomous invocation until you can enforce safeguards; 5) be aware that installing and running the provided binary grants it the ability to perform actions on your XiaohongShu account (likes, posts), so proceed only if you trust the third‑party tool and understand the risk.
功能分析
Type: OpenClaw Skill
Name: xhs-search
Version: 1.0.1
The skill requires downloading and executing external binaries from a third-party GitHub repository (xpzouying/xiaohongshu-mcp) as detailed in SKILL.md. While the Python script scripts/xhs_search.py is a standard wrapper for local MCP communication, the setup process involves high-risk actions such as running a local server that handles Xiaohongshu authentication cookies and suggesting persistence via system services. The reliance on unverified external binaries and the handling of session data make this bundle suspicious, though no direct evidence of intentional malice was found.
能力评估
Purpose & Capability
Name/description (XiaoHongShu search) match the provided Python wrapper and MCP usage. However, the referenced external tool (xiaohongshu-mcp) exposes both read and write actions (e.g., publish_content, like_feed). Those write capabilities are not necessary for a read/search skill and widen the capability surface.
Instruction Scope
Instructions require installing a third‑party binary, running a QR login that saves local cookies, and launching a local MCP service — all reasonable for a local client. But SKILL.md lists tools that can modify platform state (publish/like/favorite) and does not explicitly instruct the agent to restrict itself to read-only calls. If the agent is allowed to invoke the skill autonomously, it could call write APIs without further guardrails.
Install Mechanism
The install instructions use a GitHub releases URL (a standard release host) and require extracting an archive and moving binaries into ~/.local/bin. This is expected but still writes and executes third‑party binaries locally; there is no checksum/verification step suggested.
Credentials
The skill does not request environment variables, credentials, or config paths. It does require local installation and a Chrome binary path for QR login — appropriate for the described login flow. No unrelated secrets are requested.
Persistence & Privilege
always is false and there are no requests to modify other skills or global agent config. However, the MCP service stores long‑lived login cookies and exposes write operations; combined with the platform default that agents may call skills autonomously, this increases risk of unintended actions.
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 xhs-search - 安装完成后,直接呼叫该 Skill 的名称或使用
/xhs-search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
v1.0.1
Add disclaimer and usage terms
v1.0.0
Initial release
元数据
常见问题
xhs-search 是什么?
小红书内容搜索技能。通过 MCP 协议调用 xiaohongshu-mcp 工具,搜索小红书笔记、用户主页、评论等。支持关键词搜索、热度排序、内容详情提取。当用户说"搜一下小红书"、"分析小红书"、"查找小红书帖子"、"生成小红书报告"时触发此技能。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 137 次。
如何安装 xhs-search?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install xhs-search」即可一键安装,无需额外配置。
xhs-search 是免费的吗?
是的,xhs-search 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
xhs-search 支持哪些平台?
xhs-search 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 xhs-search?
由 neargg(@neargg)开发并维护,当前版本 v1.0.1。
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