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dally-bee

Wechat Article Auto Gen

by Dally-bee · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install wechat-article-auto-gen
Description
自动抓取和改写公众号文章,生成分镜、AI 配图和封面,输出符合 MUX 品牌风格的完整 HTML 图文内容。
Usage Guidance
This skill largely does what its description promises, but there are several red flags you should consider before installing or using it: - Hard-coded API key: SKILL.md contains a literal API key and API URL for a third‑party image service. Treat this as suspicious — it may be a placeholder, a leaked key, or an invitation to use someone else's quota. Do not rely on embedded keys; require the author to remove it and document how to supply your own credential via environment variables or config. - Missing code provenance: The documentation mentions multiple code files (scraper.py, rewriter.py, etc.) but the package contains only SKILL.md and _meta.json. Ask the publisher for the full source or provenance before trusting runtime behavior. - Network and data exfiltration risk: At runtime the skill will fetch arbitrary web articles and send content to external services (image generation API, potentially LLM endpoints). That can leak copyrighted or sensitive contents. Verify legal compliance for scraping target sites and ensure you control which external endpoints are used. - Replace hard-coded secrets and review endpoints: If you plan to run this, replace any embedded keys with your own credentials, whitelist allowed external hosts, and run the skill in a network-restricted/sandboxed environment until you can confirm behavior. - Ask for clarifications: Request the missing code files, a clear list of all external endpoints the skill calls, and explicit instructions on how to supply credentials. If the author cannot provide these, treat the skill as untrusted. If you must test it: run in an isolated environment, monitor outbound network traffic, and do not use sensitive or production credentials until you've verified the code and provenance.
Capability Analysis
Type: OpenClaw Skill Name: wechat-article-auto-gen Version: 1.0.0 The skill bundle contains a hardcoded API key for the Volcano Engine (Volcengine) image generation service (565ec265-1b1e-4fa4-bcd8-c3d37c6a6198) within the `SKILL.md` file. While the code logic for scraping, rewriting, and image generation aligns with the stated purpose of automating WeChat articles for a fitness brand, the inclusion of static credentials and the lack of input validation in the `scrape_article` function (potential SSRF) represent significant security vulnerabilities rather than intentional malice.
Capability Assessment
Purpose & Capability
The described purpose (scraping WeChat articles, rewriting to MUX brand, generating AI images, building HTML) aligns with the actions shown in SKILL.md. However, the SKILL.md references additional code files (config.py, scraper.py, rewriter.py, etc.) that are not present in the package manifest, which is inconsistent and reduces provenance. Also the document embeds a literal API key/URL for a third-party image service instead of declaring credentials or requiring the user to provide them.
Instruction Scope
Instructions explicitly tell the agent to scrape external article URLs, send content to an LLM-based rewrite step, call a third-party image-generation API, write image files, open/save fonts and images, and embed images as Base64 in HTML. Scraping arbitrary URLs and sending article content to external services can expose potentially sensitive or copyrighted content. The SKILL.md contains concrete network endpoints and a hardcoded API key, meaning runtime will involve external network calls beyond the local agent.
Install Mechanism
There is no install spec and no code files bundled (instruction-only). That lowers direct install risk because nothing is written or executed by an installer. The risk comes from runtime network calls and file I/O described in SKILL.md rather than from an install mechanism.
Credentials
The skill declares no required environment variables or credentials, yet the document includes a hard-coded API key ('565ec265-1b1e-4fa4-bcd8-c3d37c6a6198') and an explicit API URL for image generation. This is inconsistent: either the key is a placeholder or it's a leaked/embedded credential. No guidance is given for replacing this with the user's own credential, and no other credentials (e.g., for scraping protected content or for LLM APIs) are declared.
Persistence & Privilege
The skill is not marked always:true and does not request elevated or persistent platform privileges. It does instruct writing image and HTML files to disk, which is a normal behavior for content-generation tools and is scoped to the skill's outputs.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install wechat-article-auto-gen
  3. After installation, invoke the skill by name or use /wechat-article-auto-gen
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
wechat-article-auto-gen 1.0.0 初始版本发布 - 提供微信公众号文章批量采集、AI 改写和自动 HTML 生成的完整流水线 - 支持文章抓取解析、MUX 化内容重写、分镜拆分及 AI 配图和封面自动生成 - 配备标准化文章结构、提示词模板及品牌化内容指导 - 输出符合公众号要求的 HTML 版成品文章,图片支持 Base64 内嵌 - 完善的模块化代码和清晰文件结构,便于扩展与二次开发
Metadata
Slug wechat-article-auto-gen
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Wechat Article Auto Gen?

自动抓取和改写公众号文章,生成分镜、AI 配图和封面,输出符合 MUX 品牌风格的完整 HTML 图文内容。 It is an AI Agent Skill for Claude Code / OpenClaw, with 94 downloads so far.

How do I install Wechat Article Auto Gen?

Run "/install wechat-article-auto-gen" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Wechat Article Auto Gen free?

Yes, Wechat Article Auto Gen is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Wechat Article Auto Gen support?

Wechat Article Auto Gen is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Wechat Article Auto Gen?

It is built and maintained by Dally-bee (@dally-bee); the current version is v1.0.0.

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