agent-browser-zh

Name: agent-browser-zh
Availability: InStock
Author: l-lesteryu

Automate web browser interactions using accessibility tree references via Rust CLI and Node.js daemon.

51|8|Updated Feb 24, 2026

Search Tags:#cli #browser automation #llm #ai agent #web scraping #deterministic

Ready to run

npx skills add https://github.com/L-LesterYu/OpenClaw-hot-skills-zh --skill agent-browser-zh

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-browser-zh
Source: https://github.com/L-LesterYu/OpenClaw-hot-skills-zh/tree/main/skills/Agent-Browser-zh
Command: npx skills add https://github.com/L-LesterYu/OpenClaw-hot-skills-zh --skill agent-browser-zh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates complex web interactions using deterministic references instead of fragile selectors, making it ideal for AI agents that need reliable browser control.

Core Features & Use Cases

Reliable Element Interaction: Uses stable references from the accessibility tree for clicks, fills, and typing.
AI-Native Workflow: Optimized for LLM interaction with JSON output and a fast, persistent browser session.
Use Case: An AI agent needs to log into a web portal, fill out a multi-step form, and verify the submission. This Skill provides the robust commands to achieve this reliably.

Quick Start

Use the agent-browser skill to open example.com and then click on the element with reference e1.

Frequently Asked Questions about agent-browser-zh

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

FAQPage Schema

How do I automate web browser interactions for an AI agent?▼

You can automate web browser interactions for an AI agent by using deterministic references derived from the accessibility tree, enabling reliable clicks, form filling, and state verification without fragile CSS selectors.

Why does web scraping with standard selectors break and how do accessibility tree references help?▼

Web scraping with standard selectors breaks when DOM structures change, whereas accessibility tree references provide deterministic element targeting that remains stable, ensuring reliable browser automation workflows for LLMs.

How do I fill out multi-step forms using browser automation?▼

You can fill out multi-step forms by utilizing a persistent browser session that executes sequential commands to click elements and fill inputs using stable accessibility tree references for state verification.

Do I need npm to run the agent-browser-zh Skill?▼

Yes, you need npm to install the agent-browser package along with its Chromium dependency, which sets up the fast Rust CLI and Node.js daemon architecture required for deterministic browser control.

What is the best way to integrate LLM output with web scraping workflows?▼

The best way to integrate LLMs with web scraping is using an AI-native workflow that outputs JSON data from a persistent browser session, allowing language models to directly process and react to web page states.

Can I use this browser automation CLI for complex multi-step form submissions?▼

Yes, this browser automation CLI is specifically designed to handle complex multi-step workflows, allowing AI agents to log into portals, fill out multi-page forms, and verify final submission states deterministically.