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Xiaohongshu

作者 xmznini · GitHub ↗ · v0.1.0
cross-platform ✓ 安全检测通过
6870
总下载
35
收藏
42
当前安装
1
版本数
在 OpenClaw 中安装
/install xiaohongshu-mcp-skills
功能描述
小红书(RED/XHS)自动化助手。提供完整的小红书操作能力:登录、发布图文/视频、搜索笔记、浏览详情、点赞收藏评论、查看博主主页、内容策划。 当用户提到小红书、红书、XHS、RED、发笔记、搜笔记、小红书运营等任何与小红书相关的操作时使用此 skill,即使用户没有明确说"小红书"但描述的场景明显是小红书(如"...
安全使用建议
This skill is coherent: it only tells the agent to use an external xiaohongshu-mcp service and does not request secrets itself. Before installing, confirm that you trust and understand the xiaohongshu-mcp service referenced by the skill: that service will perform account actions (login, post, comment) and likely needs credentials or tokens stored somewhere. Ask what /setup-xhs-mcp does and where it stores credentials, and verify the MCP implementation's security and access controls. If you don't want automated posting on your account, do not authorize or configure the underlying MCP service.
功能分析
Type: OpenClaw Skill Name: xiaohongshu-mcp-skills Version: 0.1.0 The skill bundle provides instructions for an AI agent to automate Xiaohongshu (RED) operations via a dedicated MCP server. It includes standard safety protocols such as checking tool availability, verifying login status, and requiring user confirmation before performing 'write' actions like posting or commenting. No evidence of data exfiltration, malicious execution, or unauthorized access was found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
The name/description promise Xiaohongshu automation and the SKILL.md consistently instructs the agent to use xiaohongshu-mcp MCP tools (e.g., check_login_status, search_feeds). No unrelated env vars, binaries, or capabilities are requested.
Instruction Scope
Runtime instructions restrict behavior to checking for MCP tool availability, routing user intents to specific subskills, verifying login status, and requiring user confirmation before write actions. The instructions explicitly forbid using other tooling (Playwright/WebFetch) as substitutes and do not ask the agent to read arbitrary files or transmit data to unexpected endpoints.
Install Mechanism
There is no install spec and no code files; the skill is instruction-only, which minimizes on-disk risk. It relies on an external MCP service being present but does not itself install software.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportionate to an instruction-only delegator; however, the external xiaohongshu-mcp service (not part of this skill) may require credentials—those are outside this skill's manifest.
Persistence & Privilege
always is false and model invocation is allowed (defaults). The skill does not request permanent presence or system-wide configuration changes.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install xiaohongshu-mcp-skills
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /xiaohongshu-mcp-skills 触发
  4. 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
v0.1.0
Initial release of xiaohongshu-mcp-skills. - Provides automated operations for RED/XHS (Xiaohongshu), including login, posting, search, interactions, and content planning. - Ensures all actions depend on proper connection to the official MCP tools, with clear user guidance if setup is incomplete. - Implements intent recognition and routes user requests to the correct sub-skill automatically. - Includes strict constraints: always validate MCP connection and login before proceeding, and require user confirmation for posting and commenting actions. - Prevents the use of non-MCP tools for any Xiaohongshu operation.
元数据
Slug xiaohongshu-mcp-skills
版本 0.1.0
许可证
累计安装 45
当前安装数 42
历史版本数 1
常见问题

Xiaohongshu 是什么?

小红书(RED/XHS)自动化助手。提供完整的小红书操作能力:登录、发布图文/视频、搜索笔记、浏览详情、点赞收藏评论、查看博主主页、内容策划。 当用户提到小红书、红书、XHS、RED、发笔记、搜笔记、小红书运营等任何与小红书相关的操作时使用此 skill,即使用户没有明确说"小红书"但描述的场景明显是小红书(如"... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 6870 次。

如何安装 Xiaohongshu?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install xiaohongshu-mcp-skills」即可一键安装,无需额外配置。

Xiaohongshu 是免费的吗?

是的,Xiaohongshu 完全免费(开源免费),可自由下载、安装和使用。

Xiaohongshu 支持哪些平台?

Xiaohongshu 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?

由 xmznini(@xmznini)开发并维护,当前版本 v0.1.0。

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