agent-browser

Automate browser navigation, form filling, and scraping via a Bash CLI using element refs.

2|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/CristoVentures/LocalCents --skill agent-browser-cristoventures
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-browser
Source: https://github.com/CristoVentures/LocalCents/tree/main/.agent/skills/agent-browser
Command: npx skills add https://github.com/CristoVentures/LocalCents --skill agent-browser-cristoventures

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Browser automation for AI agents to interact with web pages via a Bash CLI, enabling scripted control over navigation, form filling, and data extraction using stable ref-based element selection.

Core Features & Use Cases

  • Ref-based element selection for deterministic automation with minimal brittle selectors
  • Snapshot-then-interact workflow to locate elements, perform actions, and verify results
  • Use cases include automated login flows, form submission, and data scraping for AI-assisted testing

Quick Start

Open https://example.com and begin automating page interactions using element 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 interactions for an AI agent using a CLI?

Automating browser interactions for an AI agent via a CLI involves using a Bash tool with commands like open, snapshot, click, and fill to script web navigation and data extraction. This approach enables deterministic automation by using stable element refs instead of brittle selectors.

What is ref-based element selection in web automation?

Ref-based element selection in web automation is a mechanism that locates page elements using stable references rather than fragile CSS or XPath selectors. This ensures deterministic automation and reduces script brittleness during automated navigation, form filling, and scraping tasks.

How do I script a snapshot-then-interact workflow for automated form filling?

To script a snapshot-then-interact workflow for automated form filling, you first capture a page snapshot to locate elements via refs, then issue commands like click and fill to interact with those elements, and finally verify the results within the same CLI automation script.

Can I run browser automation in headless mode for automated data scraping?

Yes, you can run browser automation in headless or headed modes for automated data scraping. The CLI supports taking screenshots and extracting data across web interfaces, allowing AI-assisted testing and scraping workflows to execute without a visible browser UI.

Do I need Bash to use this agent-browser CLI for web automation?

Yes, you need a Bash-based environment to use the agent-browser CLI for web automation. The tool relies on Bash commands to execute deterministic automation tasks such as opening pages, taking snapshots, and filling forms using element refs.

Why use a CLI tool for browser automation instead of traditional scripting frameworks?

Using a CLI tool for browser automation simplifies scripted control over navigation and data extraction for AI agents. It replaces brittle selectors with a ref-based workflow, making automated login flows and form submissions more deterministic and easier to debug.