Panscrapling Web Scraper

强大的网页抓取技能。基于 Scrapling，自动绕过 Cloudflare/反爬系统。 触发词：抓取网页、爬取、scrape、fetch、抓取内容、提取网页、获取页面。 使用场景： (1) 抓取被 Cloudflare 保护的网页 (2) 提取页面内容 (3) 网页数据采集 (4) 动态渲染页面抓取 自动安装：...

Before installing or running this skill: - Expect it to modify your system: setup.py will try to install Homebrew (via curl|bash), install Python 3.11 via Homebrew, pip-install packages (with an online fallback), and download Playwright/Patchright browser binaries. Run only on machines where you accept these changes. - The SKILL.md claims 'embedded wheels' and 'offline install', but the installer falls back to online network installs — verify the wheels/packaged files are present in the provided wheels/ directory if you need offline usage. - There are no integrity checks for downloaded scripts or packages. If you want to proceed, review the included wheels and the full setup.py and fetch.py contents locally, or run the installer in a sandboxed/VM environment. - The installer is macOS/Homebrew-centric; on other OSes it may fail or behave unexpectedly. There is no OS restriction declared. - The skill claims 'automatic bypass of Cloudflare/Turnstile' — that capability can be used for legitimate scraping but also to circumvent protections. Ensure your intended scraping is legal and compliant with target site policies. - If you cannot review code/wheels yourself, avoid installing. Prefer running this inside an isolated environment (container/VM) and inspect network activity during the first run. If you need offline assurance, confirm the wheels/ directory contains the expected whl files and avoid letting the script run its online fallback.

Type: OpenClaw Skill Name: panscrapling-web-scraper Version: 1.0.0 The skill performs high-risk system-level operations in `scripts/setup.py`, including the automated installation of Homebrew via a `curl | bash` command from a remote GitHub URL and the installation of multiple browser engines and Python packages. While these actions are consistent with the stated goal of setting up a stealthy web scraping environment, the automated execution of remote scripts and broad environment modifications represent a significant attack surface. No clear evidence of intentional malice, such as data exfiltration or backdoors, was found in the provided code.