Silas WeChat Article Search

微信公众号文章搜索与解析。搜狗微信+新榜双源搜索，Python脚本解析全文（零Node依赖），Serper转载兜底。

Before installing: 1) Ask the author to declare required environment variables (at minimum SERPER_API_KEY) and any credentials for Feishu or other services the skill will call. 2) Confirm where web-keywords.json and memory/collect-log.json come from and whether the skill will read any other local files. 3) Understand that the skill will write scraped output and images to /tmp/openclaw/images/ and may upload media to Feishu — make sure those actions are acceptable and that Feishu credentials are handled securely by the agent. 4) Note legal/terms-of-service risks when scraping WeChat/Sogou; consider rate limits and captcha workarounds. 5) If you need tighter assurance, request the author remove undeclared external dependencies or explicitly list required secrets and file paths; otherwise treat this skill as having broader access than the metadata indicates.

Type: OpenClaw Skill Name: silas-wechat-article-search Version: 2.0.0 The skill bundle is a legitimate tool designed to search for WeChat articles via Sogou/Serper and parse them into a Feishu knowledge base. The Python script `scripts/parse_article.py` uses standard libraries (requests, BeautifulSoup) to extract content and includes a common scraping technique (iPhone User-Agent) to bypass WeChat's anti-crawling measures. There is no evidence of data exfiltration, malicious command execution, or harmful prompt injection.