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Xiaohongshu Mcp Publisher

作者 shj_X · GitHub ↗ · v1.1.0 · MIT-0
cross-platform ⚠ suspicious
99
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install xiaohongshu-mcp-publisher
功能描述
小红书完整自动化流程:从新闻搜索到封面生成到发布。触发场景:(1) 发布小红书笔记,(2) 搜索新闻生成内容,(3) 生成封面图,(4) 完整自动化运营。关键词:小红书发布、xhs publish、小红书自动化、新闻发布。
安全使用建议
This skill appears to implement the advertised workflow (generate a cover image and post a note via a local MCP service), but there are a few things to check before installing or running it: 1) Verify the upstream source (the linked GitHub repo) to ensure the MCP binaries and login tool are trustworthy. 2) The package includes Python scripts but does not declare dependencies — you will need Pillow and requests; run them in a controlled virtualenv. 3) The publish script expects a local service at http://localhost:18060 and prints hardcoded macOS example paths — confirm the MCP service is actually installed and running on your machine (and update any paths to match your environment). 4) Because the skill talks to a local HTTP service and writes image files, run it in a sandbox or non-privileged account until you confirm behavior. 5) If you do not control or trust the MCP service binary referenced, do not run the publish step; validate that the service does not forward data externally. Resolving the missing dependency declarations and removing/parameterizing hardcoded paths would reduce the concerns noted here.
功能分析
Type: OpenClaw Skill Name: xiaohongshu-mcp-publisher Version: 1.1.0 The skill bundle provides a legitimate automation workflow for generating and publishing Xiaohongshu (XHS) posts via a local MCP service. The Python scripts (gen_cover.py and publish.py) perform image processing using PIL and standard HTTP requests to a local endpoint (localhost:18060) as described in the documentation. No evidence of data exfiltration, unauthorized remote execution, or malicious prompt injection was found; the hardcoded file paths in error messages appear to be developer placeholders.
能力评估
Purpose & Capability
Name/description describe searching, generating covers, and publishing to an MCP service. The included scripts implement cover generation (PIL) and publish via a local HTTP MCP service (localhost:18060), which is coherent with the stated purpose. However, the skill does not declare runtime dependencies (requests, Pillow) or the expectation that the MCP binaries be installed, and the publish script prints hardcoded macOS paths (/Users/mac/.openclaw/extensions/...) — an implementation detail that is platform- and user-specific and not described in SKILL.md.
Instruction Scope
SKILL.md stays within the publishing workflow (web_search → generate cover → call MCP API). It explicitly requires a local MCP service and absolute image paths. No instructions ask the agent to read unrelated system files or external accounts. But it assumes the agent or user can run local binaries, write to filesystem paths, and run the provided Python scripts. The SKILL.md omits mentioning required Python packages and does not caution about the hardcoded example binary paths.
Install Mechanism
There is no install spec (instruction-only), yet the bundle includes executable Python scripts expecting third-party libraries (Pillow, requests). Because nothing in the skill declares or installs these dependencies, a user/agent may attempt to run them in an environment where they are missing. This is an engineering/packaging omission rather than direct maliciousness, but it increases operational risk (script failures, unexpected behavior) and should be fixed.
Credentials
The skill requests no environment variables or external credentials, which is proportionate. The scripts contact only localhost:18060 (MCP service) and access local filesystem paths (image output and example binary paths). Access to the local filesystem and a local HTTP endpoint is expected for this purpose, but the presence of hardcoded macOS user paths and no explanation of where MCP binaries come from is a red flag for usability and potential misconfiguration.
Persistence & Privilege
The skill does not request always:true or any special persistent privileges. It is user-invocable and allows normal autonomous invocation; this is the platform default and appropriate for the use case. The skill does not modify other skills or global settings.
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-publisher
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /xiaohongshu-mcp-publisher 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
v1.1.0
- Adds full automation workflow for Xiaohongshu publishing: from news search, content and cover generation, to note publishing. - Introduces detailed step-by-step process covering search, copywriting, cover image creation, and MCP-based publishing. - Provides API interface documentation and important operational notes (image paths, timeouts, publishing intervals). - Expands description to clarify triggers and related keywords for improved discoverability.
v1.0.0
Initial release of xiaohongshu-mcp-publisher: automates Xiaohongshu (Little Red Book) publishing from news search to cover generation and note posting. - Enables full workflow: news search → AI copywriting → cover image generation → automatic post publishing via MCP. - Supports sourcing from Tencent News, Weibo, or custom topics. - Generates Xiaohongshu-style posts with emotional copy and hashtags. - Produces cover images with specified design standards. - Automates publishing with MCP, including login and command-line usage guidance. - Provides best practices for file paths, timeout settings, and publish frequency.
元数据
Slug xiaohongshu-mcp-publisher
版本 1.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Xiaohongshu Mcp Publisher 是什么?

小红书完整自动化流程:从新闻搜索到封面生成到发布。触发场景:(1) 发布小红书笔记,(2) 搜索新闻生成内容,(3) 生成封面图,(4) 完整自动化运营。关键词:小红书发布、xhs publish、小红书自动化、新闻发布。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 99 次。

如何安装 Xiaohongshu Mcp Publisher?

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

Xiaohongshu Mcp Publisher 是免费的吗?

是的,Xiaohongshu Mcp Publisher 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Xiaohongshu Mcp Publisher 支持哪些平台?

Xiaohongshu Mcp Publisher 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 Mcp Publisher?

由 shj_X(@shaohaojie1)开发并维护,当前版本 v1.1.0。

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