agent-browser

Automate browser interactions for AI agents using element refs.

1|Updated Dec 2, 2025
One-click install
npx skills add https://github.com/blake41/claude-tools --skill agent-browser-blake41
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-browser
Source: https://github.com/blake41/claude-tools/tree/main/ab/docs/agent-browser-reference
Command: npx skills add https://github.com/blake41/claude-tools --skill agent-browser-blake41

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Browser automation for AI agents, enabling reliable control of websites and automated data extraction without manual repetitive tasks.

Core Features & Use Cases

  • Navigate, snapshot, and interact with web pages using element refs for deterministic automation.
  • Automate data extraction, form filling, site testing, and screenshots across multiple sessions and domains.
  • Support authentication flows, session persistence, and parallel browsing to power AI-agent workflows.

Quick Start

Open a URL, snapshot interactive elements, perform actions via refs, and capture a screenshot to verify results.

Frequently Asked Questions about agent-browser

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate browser interactions for AI agents to extract web data?

Browser automation for AI agents is achieved by navigating URLs, snapshotting interactive elements, and performing actions via element refs. This enables reliable data extraction and web testing across multiple sessions and domains without manual repetitive tasks.

How does element ref-based targeting work for web testing automation?

Element ref-based targeting works by snapshotting a web page to capture interactive elements, then using those specific refs to perform deterministic actions like clicking and form filling. This ensures precise automation control during web testing and data extraction.

What safety guardrails are included when automating browser tasks for bots?

Safety guardrails are implemented to prevent unsafe browser actions during automation. These guardrails work alongside robust error handling to ensure AI agents and bots execute web testing and data extraction tasks securely without causing unintended side effects.

Can I take screenshots to verify automated web app testing results?

Yes, you can capture screenshots to verify automated web app testing results. The automation process allows AI agents to navigate web pages, perform interactions via element refs, and take screenshots to confirm that form filling and clicking actions completed successfully.

Is browser automation suitable for filling forms across multiple domains?

Browser automation is well-suited for filling forms across multiple domains. It supports parallel browsing and strict session isolation, allowing AI agents to automate repetitive form filling and data extraction tasks reliably across different websites and web applications.