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agent-browser

Automates browser navigation, form filling, and data extraction for AI agents.

Updated Mar 18, 2026
Search Tags:#automation#screenshots#forms#browser#ai-agents#data-extraction
One-click install
npx skills add https://github.com/0xACE3/opentools --skill agent-browser-0xace3
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-browser
Source: https://github.com/0xACE3/opentools/tree/main/skills/agent-browser
Command: npx skills add https://github.com/0xACE3/opentools --skill agent-browser-0xace3

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Automates browser-based tasks for AI agents, enabling reliable navigation, form filling, data extraction, and visual validation without manual, repetitive tasks.

Core Features & Use Cases

  • Browser navigation, element interaction, and authentication support across websites
  • Snapshotting with refs for compact AI-friendly commands and data extraction
  • Screenshot, PDF export, and data capture for reporting and QA
  • Session management, multi-session isolation, and controlled automation workflows
  • Use cases include automated login flows, form submission, QA testing, and data gathering

Quick Start

Open https://example.com, snapshot to identify refs, fill @e1 with sample text, and click @e2 to submit.

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 for AI agents?▼

Automate browser tasks for AI agents by using a frontmatter-driven entry point to navigate websites, fill forms, and extract data. The process enforces safe, auditable workflows through snapshots with element refs and controlled session management.

Can I use multi-session isolation to run parallel automated browser workflows?▼

Yes, multi-session isolation is supported for parallel automated browser workflows. It enables controlled automation workflows where multiple AI agents can navigate websites and extract data independently without session conflicts.

What is the best way to capture visual validation and reporting during web automation?▼

Capture visual validation and reporting during web automation by exporting screenshots and PDFs. The skill supports visual data capture alongside snapshotting with element refs, providing compact AI-friendly outputs for QA testing and reporting.

How do I interact with specific website elements without manual CSS selector targeting?▼

Interact with specific website elements by taking a snapshot to identify compact element refs, then issuing commands to fill or click those refs. This AI-friendly approach replaces manual CSS selector targeting with simple ref-based commands.

Does browser automation support automated login flows and authentication across websites?▼

Browser automation supports automated login flows and authentication across websites. It enables reliable navigation and element interaction, allowing AI agents to handle authentication sequences and form submissions safely.

What are the limitations of using frontmatter-driven entry points for web automation?▼

The frontmatter-driven entry point enforces a strict, auditable structure for web automation, which limits ad-hoc execution. However, it supports optional references, scripts, and assets to validate safe usage and maintain controlled automation workflows.

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