Visual Validation — Autonomous Screenshot Verification

Compares Peekaboo screenshots with AI to detect visual regressions.

705|56|Updated Dec 26, 2025
One-click install
npx skills add https://github.com/alinaqi/maggy --skill visual-validation-autonomous-screenshot-verification
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Visual Validation — Autonomous Screenshot Verification
Source: https://github.com/alinaqi/maggy/tree/main/skills/visual-validation
Command: npx skills add https://github.com/alinaqi/maggy --skill visual-validation-autonomous-screenshot-verification

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents visual regressions by replacing subjective “looks good” checks with automated screenshot comparison that flags unintended UI changes.

Core Features & Use Cases

  • Pixel-accurate screenshot capture: Uses Peekaboo to capture deterministic before/after images (screen-wide or focused windows) for UI changes.
  • Baseline comparison with AI triage: Compares the latest screenshot against prior baselines and uses Gemini Flash to identify whether changes are clean or regression-level.
  • Autonomous workflow integration: Leverages an auto-review hook for static/ changes and a testkit plugin for visual regression checks during POST /api/testkit/run, plus optional build-in-public capture.

Quick Start

Ask an assistant to run a verification cycle by capturing a new Peekaboo screenshot after your static/ change, comparing it to the latest baseline in ~/.maggy/visual-verify/, and then using Gemini Flash to report whether the result is CLEAN or REGRESSION_DETECTED with specific issues.

Frequently Asked Questions about Visual Validation — Autonomous Screenshot Verification

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

FAQPage Schema
How do I automate visual regression testing for web dashboard UI changes?

Automate visual regression testing by capturing deterministic before/after screenshots with Peekaboo, storing baselines, and using Gemini Flash to compare pixel differences and report CLEAN or REGRESSION_DETECTED.

What is the best way to verify UI changes before release without manual checks?

The best way to verify UI changes is using autonomous screenshot verification, which replaces subjective manual checks with pixel-level baseline comparison and AI triage to flag unintended visual regressions.

Can I use Gemini Flash for detecting visual regressions in product UI workflows?

Yes, Gemini Flash is used for visual regression analysis by evaluating screenshot diffs against prior baselines and autonomously reporting whether the UI changes are clean or contain regression-level issues.

How do I run a screenshot verification cycle after updating static assets?

Run a screenshot verification cycle by capturing a new Peekaboo screenshot after your static change, comparing it to the latest baseline in ~/.maggy/visual-verify/, and using Gemini Flash to report the result.

Does visual regression testing work with autonomous workflow integration and API hooks?

Yes, visual regression testing integrates autonomously via an auto-review hook for static changes and a testkit plugin for visual checks during POST /api/testkit/run, plus optional build-in-public capture.

What are the limitations of using screenshot diffs for UI quality validation?

Screenshot diff validation is limited to pixel-level visual changes and requires deterministic before/after captures, meaning it focuses on visual regressions rather than underlying functional or logic UI errors.