Page Fetch

Extract readable content from webpages with a stable, low-dependency workflow. Use when the user asks to open, inspect, summarize, translate, verify, or quot...

This skill appears to do exactly what it says: fetch and extract webpage content, with a WeChat-specific path and an optional Playwright browser fallback. Before installing or running it, consider: (1) Dependencies: ensure Python packages (requests, bs4) and, if you intend to use browser rendering, Node.js and Playwright + a browser are installed in a controlled environment. (2) Cookies: the WeChat extractor accepts an optional cookie argument — only pass cookies you trust and understand. (3) Persistence: by default the runner does not write files; only use --save-json when you intend to persist output. If you do use --save-json without --output, the skill will write to /home/admin/projects/openclaw/reports/page-fetch/latest.json — change the --output path or inspect DEFAULT_SAVE_DIR if that behavior is undesirable. (4) Browser rendering runs page JS in a headless browser to extract text; this is expected but means pages execute normally (avoid rendering untrusted pages in privileged hosts). Overall the package is coherent and proportionate, but run it in a sandbox or review the default save path and dependencies before enabling persistence or browser fallback.

Type: OpenClaw Skill Name: page-fetch Version: 1.0.1 The page-fetch skill bundle is a legitimate web scraping and content extraction tool. It implements a multi-stage workflow (lightweight HTML fetching, embedded JSON-LD/Next.js data extraction, and a Playwright-based browser fallback) to retrieve article content. The scripts (page_fetch.py, fetch_page.py, render_page.py) use safe subprocess handling with list-based arguments and avoid shell execution. The instructions in SKILL.md are well-defined, emphasizing transparency and reliability without any evidence of prompt injection or malicious intent.