agent-browser
agent-browser enables autonomous web automation by letting AI agents interact directly with browser elements. Control clicks, form submissions, page navigation, and DOM inspection through a unified interface designed for seamless integration with Claude and other AI platforms.
agent-browser is a web browser automation tool that enables AI agents to interact directly with browser elements. It allows you to control clicks, form submissions, page navigation, and DOM inspection through a unified interface designed for seamless integration with Claude and other AI platforms. The tool is released under the MIT license, making it freely available for both commercial and personal use.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-07-26
agent-browser is a web browser automation tool that enables AI agents to interact directly with browser elements. It allows you to control clicks, form submissions, page navigation, and DOM inspection through a unified interface designed for seamless integration with Claude and other AI platforms. The tool is released under the MIT license, making it freely available for both commercial and personal use.
Use it when
- agent-browser provides programmatic control over browser interactions.
- Yes, agent-browser supports web scraping and data extraction by allowing you to programmatically access website content.
Verify before relying
Read SKILL.md below before installing (1 file). Open directory: indexed for reading, not audited.
Install
sbusso/claudeclaw/agent-browser · repository language: TypeScript
Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.
Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
What is agent-browser and what can it do?
agent-browser is a web browser automation tool that enables AI agents to interact directly with browser elements. It allows you to control clicks, form submissions, page navigation, and DOM inspection through a unified interface designed for seamless integration with Claude and other AI platforms. The tool is released under the MIT license, making it freely available for both commercial and personal use.
How do I use agent-browser to automate clicking and filling forms?
agent-browser provides programmatic control over browser interactions, allowing you to automate clicking elements and filling forms on web pages. You can instruct the tool to locate form fields, input data, and submit forms without manual intervention. This automation capability is one of agent-browser's primary strengths, enabling you to streamline repetitive web tasks and integrate them into larger automation workflows.
Can agent-browser extract data and content from websites?
Yes, agent-browser supports web scraping and data extraction by allowing you to programmatically access website content. You can inspect the DOM, retrieve text and attributes from page elements, and extract structured data from web pages. This makes agent-browser useful for gathering information from websites automatically without manual copying and pasting.
What is agent-browser's primary use case for web application testing?
agent-browser excels at test web applications and capture screenshots for verification purposes. You can automate browser testing workflows by navigating through application flows, performing user actions, and taking screenshots at key points to verify application behavior. This capability makes agent-browser valuable for quality assurance and automated testing scenarios.
How does agent-browser integrate with AI platforms like Claude?
agent-browser is specifically designed for seamless integration with Claude and other AI platforms. The unified interface allows AI agents to autonomously interact with web pages, making decisions about which elements to click, what data to extract, and how to navigate. This integration enables AI systems to perform complex web automation tasks that would otherwise require manual scripting or human intervention.
Can agent-browser manage browser state like cookies and authentication?
agent-browser provides capabilities to manage browser state including authentication, cookies, and storage. This allows you to maintain persistent sessions across multiple interactions, handle authenticated workflows, and preserve browser context between operations. State management is essential for automating complex web application interactions that depend on user sessions and stored data.
SKILL.md
Rendered from the published skill. Quoted content, verbatim.
Browser Automation with agent-browser
Quick start
agent-browser open <url> # Navigate to page
agent-browser snapshot -i # Get interactive elements with refs
agent-browser click @e1 # Click element by ref
agent-browser fill @e2 "text" # Fill input by ref
agent-browser close # Close browser
Core workflow
- Navigate:
agent-browser open <url> - Snapshot:
agent-browser snapshot -i(returns elements with refs like@e1,@e2) - Interact using refs from the snapshot
- Re-snapshot after navigation or significant DOM changes
Commands
Navigation
agent-browser open <url> # Navigate to URL
agent-browser back # Go back
agent-browser forward # Go forward
agent-browser reload # Reload page
agent-browser close # Close browser
Snapshot (page
(truncated - see the full file via the links below)
File tree — 1 file
agent/skills/agent-browser/SKILL.md
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Related skills
agent-browser enables autonomous control of web browsers for task automation. Execute complex interactions like navigation, form submission, and content extraction without manual intervention. Perfect for building agents that need to operate across web applications.
agent-browser enables you to script browser automation through an AI-powered agent that operates in isolated containers for security and reliability. Control web interactions—clicks, text input, form handling—programmatically without manual intervention. Built for customization and ease of understanding, it's designed as a lightweight foundation for browser-based automation workflows.
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Agent Browser gives AI systems the ability to independently navigate websites, extract information, and interact with web elements without human intervention. This skill bridges the gap between AI reasoning and real-world web data, enabling agents to perform research, monitoring, and automated workflows across the internet.
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