ko-browser

Automate browser navigation, form submission, and screenshot capture via a Go-based CLI.

27|1|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/libi/ko-browser --skill ko-browser
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ko-browser
Source: https://github.com/libi/ko-browser/tree/main/skills/ko-browser
Command: npx skills add https://github.com/libi/ko-browser --skill ko-browser

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the inefficiency of manual browser automation and the high token cost of verbose browser accessibility output for AI agents, eliminating the need for slow, resource-heavy Node.js-based browser tools.

Core Features & Use Cases

  • Token-Efficient Snapshots: Uses a compact accessibility tree format that cuts prompt token usage by 46%+ compared to verbose browser output, reducing context bloat for AI agents.
  • Comprehensive Browser Control: Supports 86+ commands for navigation, form interaction, screenshot capture, data extraction, network monitoring, and session management.
  • Use Case: Automate logging into SaaS web apps, filling multi-step registration forms, scraping product data from e-commerce sites, or running end-to-end tests for web applications without manual intervention.

Quick Start

Use the ko-browser skill to navigate to the target website, fill out the provided form with the given user details, and capture a screenshot of the confirmation page after submission.

Frequently Asked Questions about ko-browser

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

FAQPage Schema
How do I reduce token usage for AI web scraping and browser automation?

To reduce token usage for AI web scraping, this Skill provides token-efficient accessibility tree snapshots that cut prompt token consumption by 46%+ compared to verbose traditional browser outputs.

Can I automate multi-step form filling and web testing without Node.js overhead?

Yes, you can automate form filling and web testing using a lightweight Go-based CLI, eliminating the slow, resource-heavy Node.js overhead associated with traditional browser automation tools.

How does an AI agent manage authenticated sessions for web application automation?

An AI agent manages authenticated sessions using persistent browser sessions, allowing continuous agent-driven workflows for web navigation, data scraping, and SaaS application logins without repeated manual intervention.

What browser control commands are available for web navigation and data extraction?

Over 86 granular browser control commands are available for web navigation, form interaction, screenshot capture, data extraction, network monitoring, and session management to improve automation reliability.

Does browser automation for AI agents support OCR and screenshot capture?

Yes, browser automation for AI agents supports optional OCR and screenshot capture, enabling visual data extraction and confirmation page recording during automated web application testing workflows.

What is the best way to run end-to-end tests for web applications using AI agents?

The best way to run end-to-end tests is using a lightweight Go-based CLI with token-efficient snapshots and 86+ granular commands, ensuring reliable agent-driven web testing without Node.js overhead.