xiaofei自用-WeChat Article Scraper

微信公众号文章抓取工具。从 mp.weixin.qq.com 抓取公开文章（文字+图片+视频），解析内容块顺序，下载图片，按原顺序写入飞书知识库。

This skill reliably implements scraping and local image download using headless Chrome, but its advertised Feishu import feature is not implemented in the provided code and no Feishu credentials or CLI are requested. Before installing or running: - Expect the tool to only scrape and produce local Markdown + images unless you separately provide a Feishu integration (a CLI or API glue that supplies credentials). The current package does not contain Feishu API calls. - Do not assume it will post data to Feishu automatically—verify how you or your environment will supply Feishu tokens if you want automated import. If there is an external feishu_create_doc tool you plan to use, ensure it is trustworthy. - Be aware it uses headless Chrome with anti-detection flags to bypass WeChat protection; scraping mp.weixin.qq.com may violate the site’s terms of service or local laws—consider legal/ethical implications. - Run the scripts in an isolated environment (e.g., disposable VM or container) until you confirm behavior. Check the cache directory (/tmp or supplied cache-dir) for downloaded images and remove sensitive files afterwards. - If you need automated Feishu import, request the author to either (a) include explicit Feishu integration code and declare required env vars (tokens) or (b) document the exact external CLI/tools required. Without that, the skill is incomplete and its description is misleading.

Type: OpenClaw Skill Name: xiaofei-ziyong-wechat-article-scraper Version: 2.0.0 The skill bundle is a legitimate tool for scraping WeChat articles and preparing them for import into Feishu (Lark). It uses headless Google Chrome via subprocess calls to bypass anti-bot protections and extracts content blocks (text and images) as described in the documentation. The code in `scrape.py` and `scrape_and_import.py` follows safe practices for command execution and restricts image downloads to the WeChat CDN (mmbiz.qpic.cn), showing no signs of data exfiltration, persistence, or malicious intent.