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在 OpenClaw 中安装
/install openclaw-xiaohongshu
功能描述
个人小红书内容与账号管理技能。提供发布笔记、编辑笔记、获取数据、账号管理等核心功能。适用于发布图文/视频笔记、管理评论互动、查询数据分析、管理账号信息、批量处理小红书内容等场景。
安全使用建议
This package advertises full Xiaohongshu account management but only includes a local script that simulates publishing (no real API/auth, returns fake CDN URLs and random IDs). Before installing or supplying credentials: 1) Do not provide real Xiaohongshu credentials yet — the skill contains no declared auth mechanism. 2) If you need full functionality, request a clear implementation from the author showing how auth is handled and where network calls occur (and which endpoints). 3) Verify missing assets (assets/) and confirm whether additional code will be installed or downloaded at runtime. 4) If you plan to run the script, review it locally (it only reads local files and logs) and run it in a sandbox; it does not currently exfiltrate data, but its claimed features imply it would need network access and secrets in a future version. 5) If you cannot verify the author/source, treat this as incomplete/untrusted and prefer an official/integrated implementation that documents credential handling and uses real API endpoints.
能力评估
Purpose & Capability
SKILL.md and description claim broad account management (publish, edit, delete, analytics, comments, account binding). The repository contains one script (scripts/publish_note.py) that only simulates uploading and creating notes (returns fake CDN URLs and random note IDs). There is a mismatch between claimed capabilities and actual implemented functionality; missing implementations for editing, deletion, analytics, interaction management, and account operations.
Instruction Scope
Runtime instructions state the skill requires valid Xiaohongshu authentication and describe many API operations, but provide no concrete authentication mechanism, no runtime steps to obtain/consume credentials, and no real network calls in the code. SKILL.md also references assets/ (template.html, avatar_example/) that are not present in the file manifest. The instructions therefore are either incomplete or overly broad, giving the agent ambiguous authority without implemented behavior.
Install Mechanism
No install spec and only an instruction + small script are included. Nothing is downloaded or installed automatically, which minimizes supply-chain risk. The code is local and readable.
Credentials
SKILL.md says valid Xiaohongshu credentials are required, but requires.env and primary credential fields are empty — the skill does not declare how credentials should be provided. The packaged code does not read any environment variables for auth, so there's inconsistency between claims (needs credentials) and what the code actually requests/uses (none). This omission could lead to ad-hoc credential handling later or user confusion.
Persistence & Privilege
The skill does not request always:true or any special system persistence. It does not modify other skills or system-wide config in the provided files.
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 openclaw-xiaohongshu - 安装完成后,直接呼叫该 Skill 的名称或使用
/openclaw-xiaohongshu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
v1.0.0
- Initial release of Xiaohongshu skill for comprehensive account and content management.
- Supports publishing and editing notes (images/videos), bulk publishing, and draft management.
- Includes note status tracking, data analytics (views, likes, followers growth), and engagement management (comments, likes, messages, blacklist).
- Provides account configuration features: edit profile, manage personal tags, and bind third-party accounts.
- Offers quick reference guides for common tasks like publishing notes and managing interactions.
元数据
常见问题
开源小红书技能 是什么?
个人小红书内容与账号管理技能。提供发布笔记、编辑笔记、获取数据、账号管理等核心功能。适用于发布图文/视频笔记、管理评论互动、查询数据分析、管理账号信息、批量处理小红书内容等场景。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 105 次。
如何安装 开源小红书技能?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-xiaohongshu」即可一键安装,无需额外配置。
开源小红书技能 是免费的吗?
是的,开源小红书技能 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
开源小红书技能 支持哪些平台?
开源小红书技能 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 开源小红书技能?
由 吴佳浩(@xiaobingan)开发并维护,当前版本 v1.0.0。
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