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agent-browser

Automate browser interactions for navigation, form filling, and data extraction.

2|Updated Apr 26, 2026
Search Tags:#browser automation#web testing#scraping#ui interaction#qa verification#accessibility tree#electron apps
One-click install
npx skills add https://github.com/iadr-dev/colab --skill agent-browser-iadr-dev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-browser
Source: https://github.com/iadr-dev/colab/tree/main/skills/agent-browser
Command: npx skills add https://github.com/iadr-dev/colab --skill agent-browser-iadr-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It removes the manual effort of interacting with websites and web-based UIs by letting an AI agent navigate pages, perform actions, and extract results reliably.

Core Features & Use Cases

  • Website and UI automation: Navigate pages, fill forms, click elements, and verify outcomes end-to-end.
  • Reliable extraction with accessibility snapshots: Use accessibility-tree snapshots and stable element references to scrape or test what matters.
  • Broader app automation: Automate Electron desktop apps, Slack workflows, exploratory QA, and cloud browser scenarios (e.g., Vercel Sandbox, AWS Bedrock AgentCore).
  • Use Case: When you need to test a login-protected web app, this lets an agent log in, exercise key flows, capture screenshots, and extract verification data for QA.

Quick Start

Ask your AI agent to run the agent-browser core workflow to open the target site, complete the required steps, and return the extracted results.

Frequently Asked Questions about agent-browser

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

FAQPage Schema
Does browser automation work with Electron apps for QA verification?▼

Browser automation supports Electron desktop apps through CDP-backed control and accessibility-tree snapshotting. AI agents can navigate UI elements, click controls, and perform exploratory QA verification inside these specialized environments.

What is accessibility-tree snapshotting for web scraping?▼

To scrape login-protected web apps, an AI agent uses browser automation to log in, handle persistent session state, and navigate key flows. It extracts verification data and captures screenshots using accessibility-tree snapshots with stable element references.

Can I use browser automation for exploratory QA bug hunts?▼

Cloud browser scenarios like Vercel Sandbox and AWS Bedrock AgentCore are supported environments for browser automation. An AI agent can navigate pages, fill forms, and extract results using CDP-backed control and accessibility-tree snapshots within these platforms.

Do I need a CDP-backed runtime for UI interaction automation?▼

Browser automation handles login-protected web apps by using persistent session and auth state handling to maintain credentials. An AI agent logs in, exercises key flows, captures screenshots, and extracts verification data using stable element references.

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