Agent Browser

Automate web interactions with a Rust-based headless browser CLI.

1.0k|56|Updated Jan 16, 2026
One-click install
npx skills add https://github.com/am-will/codex-skills --skill agent-browser-am-will
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Agent Browser
Source: https://github.com/am-will/codex-skills/tree/main/skills/agent-browser
Command: npx skills add https://github.com/am-will/codex-skills --skill agent-browser-am-will

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI agents need reliable, scriptable web interactions to navigate, click, fill, and capture pages. This Skill provides a fast Rust-based headless browser automation CLI with a Node.js fallback to enable deterministic, AI-driven web automation.

Core Features & Use Cases

  • Navigate, click, and fill forms: control pages programmatically.
  • Snapshot and extract data: capture page content and attributes for AI reasoning.
  • UI testing and automation across dynamic sites: build end-to-end scripts for modern web apps.

Quick Start

agent-browser open https://example.com agent-browser snapshot agent-browser click #login agent-browser fill #email "[email protected]" agent-browser screenshot home.png

Frequently Asked Questions about Agent Browser

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

FAQPage Schema
How do I automate web interactions for AI agents using a headless browser?

Headless browser automation for AI agents is handled by controlling a Rust-based CLI that supports navigation, clicking, typing, form filling, and page snapshotting across dynamic, modern websites. It enables deterministic, scriptable web automation without a visible browser interface.

Do I need a Rust toolchain to run headless browser automation scripts?

A Rust toolchain is required to build and run the headless browser automation CLI. However, a Node.js fallback is also provided for compatibility, allowing you to execute web interaction scripts if Rust is not available in your environment.

What's the best way to extract page content and capture snapshots from dynamic websites?

Page content and snapshots from dynamic websites are captured using the snapshot and screenshot commands. The CLI retrieves page text and attributes for AI reasoning, allowing you to extract data programmatically after navigating and interacting with modern web apps.

Can I fill out forms and click elements programmatically on dynamic sites?

Form filling and element clicking on dynamic sites are supported through CLI commands like click, fill, and open. You can target elements using selectors such as #login or #email to control pages programmatically and build end-to-end UI testing scripts.

Does headless browser automation work for end-to-end UI testing across modern web apps?

Headless browser automation works for end-to-end UI testing across modern web apps by providing scriptable commands for navigation, interaction, and snapshotting. It handles dynamic page content and captures screenshots, enabling reliable automation scripts for testing workflows.