agent-browser

Automate browser interactions via CLI with element refs and session management.

Updated Mar 26, 2026
One-click install
npx skills add https://github.com/jaydubya818/New_baseline --skill agent-browser-jaydubya818
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-browser
Source: https://github.com/jaydubya818/New_baseline/tree/main/skills/compound-engineering/plugins/compound-engineering/skills/agent-browser
Command: npx skills add https://github.com/jaydubya818/New_baseline --skill agent-browser-jaydubya818

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

AI agents often need to perform browser-based tasks but lack reliable tooling to navigate, fill forms, click elements, take screenshots, and extract data from live websites. This skill provides a deterministic CLI workflow for controlling a browser, orchestrating interactions, and validating outcomes in automated scenarios.

Core Features & Use Cases

  • Navigate to URLs, render pages, and interact with elements using refs generated from snapshots.
  • Automate data extraction, form filling, test flows, and simple authentication sequences across web apps.
  • Enhance AI agent workflows by chaining commands, capturing evidence (screenshots, PDFs), and validating results in QA, data collection, and automation pipelines.

Quick Start

Install agent-browser and run a basic open command to start automating a website workflow.

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 tasks like form filling and data extraction with an AI agent?

Browser automation for AI agents is achieved through a deterministic CLI workflow that controls a browser, enabling you to navigate pages, fill forms, click elements, and extract data from live websites. It orchestrates interactions by generating element references from page snapshots.

Can I use browser automation to handle login authentication flows in web testing?

Yes, browser automation supports simple authentication sequences and login automation across web apps. The CLI manages sessions and handles authentication flows by interacting with elements using snapshot-generated references, ensuring automated login workflows execute reliably.

What is the best way to chain browser commands for QA test flows?

The best way to chain browser commands for QA is using a CLI that orchestrates interactions and validates outcomes with robust error handling. You can open URLs, snapshot elements, interact via references, and capture evidence like screenshots to validate test flows.

How do I extract data from web pages using browser automation?

Data extraction from web pages is handled by navigating to URLs, rendering the page, and taking snapshots to generate element references. The AI agent then interacts with these specific references to reliably extract the required data from live websites.

Does browser automation support capturing screenshots and PDFs during workflow execution?

Yes, browser automation supports capturing evidence such as screenshots and PDFs during workflow execution. This functionality enhances AI agent workflows by allowing you to validate results and document outcomes in QA, data collection, and automation pipelines.

What are the limitations of using CLI-based browser automation for web app testing?

CLI-based browser automation relies on deterministic workflows and snapshot-generated references, meaning dynamic content or complex DOM changes may require robust error handling to manage. It is designed for controlled interactions rather than fully unsupervised browsing.