luke-agent-browser-clawdbotHeadless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
Install via ClawdBot CLI:
clawdbot install banalit/luke-agent-browser-clawdbotGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/vercel-labs/agent-browserAudited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Automate browsing e-commerce sites to monitor price changes, add items to cart, and simulate checkout flows for testing or data extraction. Use snapshot refs to reliably interact with product listings and forms, and sessions to manage multiple user accounts simultaneously.
Perform automated testing of complex single-page applications (SPAs) by simulating user interactions like form submissions, navigation, and state changes. Leverage ref-based element selection for deterministic testing and network control to mock API responses.
Extract structured data from websites with heavy JavaScript rendering, such as social media or news sites. Use snapshots to capture accessibility trees, wait commands for page stability, and get commands to retrieve text or attributes from specific elements.
Simulate multiple user sessions in parallel to test support workflows, such as logging in as different roles (admin, user) and interacting with dashboards. Use state persistence to skip login steps and isolate sessions for efficient testing.
Automate checks for web accessibility by analyzing snapshot outputs to verify roles and names of interactive elements. Use commands to test visibility and enabled states, ensuring compliance with standards like WCAG across different pages.
Offer browser automation services to businesses for tasks like data extraction, testing, or monitoring. Charge based on usage, such as per automation run or subscription tiers, leveraging the skill's performance and session isolation for scalable solutions.
Build and sell specialized testing tools for web applications using this skill as a backend. Integrate it into larger QA frameworks to provide deterministic element selection and snapshot capabilities, targeting software development teams.
Provide training programs or consulting services to help organizations implement AI-driven browser automation. Focus on best practices like using refs and sessions, with revenue from workshops, certifications, or ongoing support contracts.
💬 Integration Tip
Integrate this skill by parsing JSON outputs from snapshots to dynamically select refs, and use sessions to handle multiple browser contexts in parallel workflows.
Scored Jun 19, 2026
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
Uses a headless browser to navigate web pages, interact with elements, and extract clean, readable text content from URLs.
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
通过已登录的Edge或Chrome浏览器，利用Chrome DevTools Protocol执行JS渲染页面的导航、点击、截图及数据提取等自动化操作。
Send and receive SMS/RCS via Google Messages web interface (messages.google.com). Use when asked to "send a text", "check texts", "SMS", "text message", "Google Messages", or forward incoming texts to other channels.
High-performance browser automation for heavy scraping, multi-tab management, and precise DOM extraction. Use this when you need speed, reliability, or advanced state management (cookies/local storage) beyond standard web fetching.