How does ATR help with debugging failed tests?

When a test fails, ATR captures a screenshot, DOM snapshot, console logs, and network requests, then provides an AI-powered analysis of the root cause.

Does this skill support mobile testing?

Yes, you can specify custom viewport dimensions using the --viewport flag (e.g., 375x667) to simulate mobile device environments.

What is a .test.txt file?

It is a plain text file used by ATR to define test steps, prerequisites, and expected results in natural language, which the AI then translates into browser actions.

Can I see the browser while the test is running?

Yes, while tests run in headless mode by default, you can use the --headless=false flag to watch the AI execute steps in a visible browser window.

Do I need to manually write CSS selectors for these tests?

No, the AI uses various strategies like accessible names, labels, and text content to find elements, though you can still use CSS selectors or data-testids for higher precision.

ATR Behavior Testing

Name: ATR Behavior Testing
Author: imyousuf

byimyousuf

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セキュリティとテスト

Executes automated browser-based behavior tests using natural language specifications and AI-driven navigation.

概要

This skill leverages the Agentic Test Runner (ATR) to execute end-to-end browser tests written in plain English, eliminating the need for maintaining complex CSS or XPath selectors. It allows developers to define user journeys in .test.txt files which an AI agent then interprets and executes, providing robust element resolution through multiple strategies and detailed failure analysis including screenshots, console logs, and DOM snapshots.

主な機能

Configurable browser environments and custom viewport sizes
Support for headless mode and remote CDP endpoint connection
AI-driven element resolution using ARIA, Test IDs, and text content
Natural language test execution from .test.txt files
Automated failure analysis with screenshots and network logs
1 GitHub stars

ユースケース

Debugging complex UI failures with AI-generated root cause analysis
Automating end-to-end user journey testing without writing boilerplate code
Verifying mobile responsiveness through custom viewport configurations

概要

主な機能

Configurable browser environments and custom viewport sizes
Support for headless mode and remote CDP endpoint connection
AI-driven element resolution using ARIA, Test IDs, and text content
Natural language test execution from .test.txt files
Automated failure analysis with screenshots and network logs
1 GitHub stars

ユースケース

Debugging complex UI failures with AI-generated root cause analysis
Automating end-to-end user journey testing without writing boilerplate code
Verifying mobile responsiveness through custom viewport configurations