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小红书自动发布(macOS)

作者 richardx0319 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
328
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install xiaohongshu-auto-publish-macos
功能描述
小红书自动发布技能 - 支持图片搜索下载、自动上传发布一键完成
安全使用建议
This skill appears to do what it says (prepare images and drive the publishing UI), but note these points before installing: - SKILL.md describes full automated browser actions, but publish.py only downloads an image and then asks the user to complete the publish steps — understand whether you expect fully automated behavior or just a helper. - The script writes files to ~/Desktop and /tmp/openclaw/uploads and uses the Python requests library; ensure you trust the skill (source is unknown) and that your environment has required dependencies. - The skill will interact with your browser session (may require QR login to Xiaohongshu). Keep in mind any active authenticated sessions could be used by automation — do not leave sensitive sessions open if you are unsure. - Network access is only to picsum.photos in the shipped code; if you plan to modify the skill, review any additional endpoints carefully. - If you need stronger assurance, ask the publisher for a homepage/source repo or request the skill be updated so its SKILL.md and code align and declare dependencies explicitly.
功能分析
Type: OpenClaw Skill Name: xiaohongshu-auto-publish-macos Version: 1.0.0 The skill bundle provides legitimate automation for publishing content to the Xiaohongshu (Red) platform. The Python script (publish.py) downloads placeholder images from a public service (picsum.photos) and prepares them for upload, while the instructions (SKILL.md) guide the AI agent through standard browser automation steps. No evidence of data exfiltration, credential theft, or malicious execution was found.
能力评估
Purpose & Capability
The skill claims end-to-end automated publishing (uses OpenClaw browser.upload and act+type in SKILL.md) which is coherent with the stated purpose. However, the included publish.py is a local helper that only downloads/copies an image and stops, instructing the user to finish the upload manually — so code and instructions are not fully aligned (helper script vs. automated agent actions).
Instruction Scope
SKILL.md directs the agent to use the built-in browser profile, upload files, and type into specific page selectors (expected for this purpose). The script creates files on the user Desktop and /tmp and prints manual steps; it does not read arbitrary system files or exfiltrate data. The agent will need permission to access local files used for upload.
Install Mechanism
No install spec (instruction-only) which minimizes installer risk. The included Python script uses the requests library but no dependencies are declared — this is a functional/maintenance omission rather than a direct security issue.
Credentials
The skill requests no environment variables, credentials, or config paths. Network access is used only to download images from a public image service (picsum.photos), which matches the stated functionality.
Persistence & Privilege
always is false and the skill does not request persistent elevated privileges. It will rely on the agent's normal browser automation capabilities; autonomous invocation is allowed by default but that is platform standard and not by itself a red flag here.
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-auto-publish-macos
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /xiaohongshu-auto-publish-macos 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
v1.0.0
适用于macOS的小红书自动发布技能
元数据
Slug xiaohongshu-auto-publish-macos
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

小红书自动发布(macOS) 是什么?

小红书自动发布技能 - 支持图片搜索下载、自动上传发布一键完成. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 328 次。

如何安装 小红书自动发布(macOS)?

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

小红书自动发布(macOS) 是免费的吗?

是的,小红书自动发布(macOS) 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

小红书自动发布(macOS) 支持哪些平台?

小红书自动发布(macOS) 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 小红书自动发布(macOS)?

由 richardx0319(@richardx0319)开发并维护,当前版本 v1.0.0。

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