Agent Browser

What This Skill Does

The Agent Browser skill is a sophisticated, high-performance browser automation toolkit designed specifically for AI agents. By leveraging a fast Rust-based headless engine with a Node.js fallback, it enables agents to programmatically navigate the web, interpret complex DOM structures, and interact with web elements just like a human user. Unlike simple scrapers, this skill generates structured, actionable snapshots (represented by unique @refs), allowing an AI to identify specific inputs, buttons, and interactive components. This bidirectional communication—where the agent sees the page state and subsequently executes precise actions—turns any standard website into an interactive interface for your AI tasks.

Installation

To begin, ensure you have the OpenClawProvider installed as per the prerequisites. Once the provider is active, run the installation via the CLI: clawhub install openclaw/skills/skills/iqbalnaveliano/agent-browser-zd1dook9mtfz. For optimal performance, verify that the agent-browser package is available globally via npm by executing npm install -g agent-browser and performing the dependency check with agent-browser install --with-deps.

Use Cases

1. Automated Form Filling: Efficiently completing repetitive web forms, surveys, or data entry tasks across multiple platforms.
2. Web Research & Monitoring: Navigating to news or stock portals, performing searches, and extracting data from dynamic content that standard GET requests cannot reach.
3. Regression Testing: Programmatically navigating through application flows to verify that key features remain functional after updates.
4. Content Aggregation: Collecting information from behind login screens or complex JavaScript-rendered interfaces where traditional scraping tools fail.

Example Prompts

1. "Open https://example.com/login, take a snapshot to find the login form, fill the email field with my credentials, and click the submit button."
2. "Go to the search page, type 'current market trends' into the search input, press Enter, and list the headers of the top three results."
3. "Navigate to the dashboard, scroll down by 800 pixels to load more data, and capture a screenshot of the main content area."

Tips & Limitations

• Always use agent-browser snapshot -i as your primary mode for interaction to reduce noise from layout-only elements.
• When building automation flows, re-snapshot the page after any interaction that triggers a navigation or dynamic DOM update to ensure your @refs remain valid.
• Note that this tool executes actions in a headless browser; ensure your target site permits automated interaction and that you are complying with their robots.txt policies.
• If a specific interaction fails, try using focus @e1 before executing a command to ensure the element is in the correct state for input or clicking.