agent-browser

Automate browser navigation, form filling, data extraction, and testing via deterministic commands.

Updated Mar 12, 2026

Search Tags:#automation #testing #scripting #ai-agent #browser #data-extraction #web-app

Ready to run

npx skills add https://github.com/vddgmbh/documenso --skill agent-browser-vddgmbh

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-browser
Source: https://github.com/vddgmbh/documenso/tree/main/.agents/skills/agent-browser
Command: npx skills add https://github.com/vddgmbh/documenso --skill agent-browser-vddgmbh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Browser automation for AI agents to interact with websites, enabling navigation, form filling, data extraction, screenshots, testing, and repetitive tasks without manual clicking.

Core Features & Use Cases

Deterministic command set (open, snapshot, fill, click, screenshot) for reliable web automation.
Multi-session isolation to run parallel tasks with separate cookies, storage, and history.
Refs-based interactions and semantic locators to reduce prompt length and improve reliability across sites.

Quick Start

Open a website, snapshot the page to obtain element refs, and interact with elements using those refs.

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 uses a deterministic command set including open, snapshot, fill, click, and screenshot to execute web tasks reliably. You open a page, snapshot it for element refs, and interact with those elements to complete navigation, form filling, and data extraction workflows.

What is a ref-based interaction for web app testing automation?▼

Ref-based interaction for web app testing uses page snapshots to obtain element references, allowing AI agents to target specific controls semantically. This approach reduces prompt length and improves automation reliability across different websites compared to raw HTML selectors.

Can I run parallel browser sessions with isolated cookies and storage for automation?▼

Yes, multi-session isolation supports running parallel browser automation tasks with completely separate cookies, storage, and history. This enables concurrent web scraping, isolated testing, and simultaneous multi-account interactions without session data bleeding between automated agents.

Does AI agent browser automation support taking screenshots and scraping data?▼

AI agent browser automation supports taking screenshots and scraping data through its core command set. These deterministic commands enable safe, auditable automation flows for extracting web content and capturing visual page states during automated testing or data extraction tasks.

What are the limitations of using deterministic commands for web automation?▼

Deterministic commands for web automation rely on snapshot-based element refs, meaning dynamic content requiring real-time semantic locators may need repeated snapshots. Users must manage ref freshness during multi-step flows to maintain reliable interactions across rapidly changing web app states.