SeleniumBase Python Browser Automation and Stealth Testing Framework
SeleniumBase is a Python framework for browser automation, end-to-end testing, and stealthy web interaction. It layers pytest-friendly test structure, browser control, reporting, and anti-bot-aware CDP and UC modes on top of Selenium workflows.
npx skills add agentskillexchange/skills --skill seleniumbase-python-browser-automation-stealth-testing-framework
SeleniumBase is an open-source Python framework for browser automation and end-to-end testing maintained in the seleniumbase/SeleniumBase project. It is designed for teams and agents that need more than raw Selenium bindings: the framework adds a higher-level API, built-in pytest integration, reporting, screenshots, dashboards, reusable selectors, and command-line tooling that make browser automation faster to write and easier to maintain.
What this skill actually does
The upstream documentation describes SeleniumBase as an all-in-one browser automation framework for web crawling, testing, scraping, and stealth workflows. Its CDP Mode and UC Mode are especially relevant for agents because they support Chrome DevTools Protocol control, CAPTCHA handling, and anti-bot-aware automation patterns that are difficult to assemble manually with lower-level tooling. The project also ships a large examples directory, recorder features, localization support, CI integration guidance, and visual testing helpers.
For an ASE skill, SeleniumBase is a strong fit when an agent needs to generate browser checks, reproduce UI bugs, collect screenshots, save PDFs or HTML output, or automate multi-step browser tasks in Python. Typical outputs include test files, scraped data, screenshots, logs, and reproducible automation scripts. Integration points include pytest test suites, CI pipelines, CDP-based browser sessions, and Python automation projects that need reliable browser control without building an entire framework from scratch.
The primary upstream sources are the GitHub repository, the PyPI package, and the official documentation site. Installation is straightforward from PyPI, and the project shows active maintenance, releases, and strong community adoption.