autonomous-ui-inspection

Captures screenshots and extracts bounding box metrics to validate UI changes.

Updated Aug 25, 2018
One-click install
npx skills add https://github.com/metabench/jsgui3-html --skill autonomous-ui-inspection
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: autonomous-ui-inspection
Source: https://github.com/metabench/jsgui3-html/tree/main/docs/agi/skills/autonomous-ui-inspection
Command: npx skills add https://github.com/metabench/jsgui3-html --skill autonomous-ui-inspection

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill provides a robust and agent-friendly method for inspecting user interfaces, ensuring consistency and identifying discrepancies through both visual and numerical data.

Core Features & Use Cases

  • Visual Inspection: Captures screenshots of rendered UI elements for visual validation.
  • Numeric Inspection: Extracts layout metrics like bounding boxes and checks for overflow.
  • Use Case: After a UI update, use this skill to capture a screenshot and verify that a specific control's dimensions have not unexpectedly changed.

Quick Start

Use the autonomous-ui-inspection skill to capture a screenshot of the page at the provided URL and extract the bounding box metrics for the element matching the selector '.my-control'.

Frequently Asked Questions about autonomous-ui-inspection

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

FAQPage Schema
How do I automate UI inspection to verify layout changes after an update?

You can automate UI inspection by capturing screenshots and extracting numeric layout metrics like bounding boxes to validate UI changes. This skill provides visual and quantitative evidence to verify that specific control dimensions have not unexpectedly changed after an update.

How do I extract bounding box metrics for a specific UI element?

To extract bounding box metrics, the skill uses Puppeteer scripts to capture detailed numeric layout data for elements matching a provided CSS selector. This allows you to quantitatively verify element dimensions and check for overflow issues.

What is visual validation for automated agents and how does it work?

Visual validation for automated agents works by capturing screenshots of rendered UI elements alongside numeric layout extraction. It provides a robust, agent-friendly method to inspect user interfaces, ensuring consistency and identifying discrepancies through both visual and numerical data.

Do I need a browser subagent to capture screenshots for UI inspection?

Yes, you need a browser subagent to handle navigation and screenshotting for UI inspection. The skill relies on the browser subagent for visual capture and Puppeteer scripts for the detailed extraction of layout metrics.

Can I check for layout overflow using automated screenshot inspection?

Yes, automated screenshot inspection can check for layout overflow by extracting numeric layout metrics. The skill captures bounding boxes and other quantitative data to identify discrepancies and validate that UI elements render within expected boundaries.