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shaohaojie1

Xiaohongshu Mcp Publisher

by shj_X · GitHub ↗ · v1.1.0 · MIT-0
cross-platform ⚠ suspicious
99
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0
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0
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2
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Install in OpenClaw
/install xiaohongshu-mcp-publisher
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install xiaohongshu-mcp-publisher
  3. After installation, invoke the skill by name or use /xiaohongshu-mcp-publisher
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug xiaohongshu-mcp-publisher
Version 1.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Xiaohongshu Mcp Publisher?

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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 99 downloads so far.

How do I install Xiaohongshu Mcp Publisher?

Run "/install xiaohongshu-mcp-publisher" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Xiaohongshu Mcp Publisher free?

Yes, Xiaohongshu Mcp Publisher is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Xiaohongshu Mcp Publisher support?

Xiaohongshu Mcp Publisher is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Xiaohongshu Mcp Publisher?

It is built and maintained by shj_X (@shaohaojie1); the current version is v1.1.0.

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