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visual-verdict

Compare UI screenshots against reference images and return a strict JSON verdict.

Updated Apr 11, 2026
Search Tags:#screenshots#ui-testing#design-review#image-diff#visual-verdict
One-click install
npx skills add https://github.com/Pryma-Tech/iris --skill visual-verdict-pryma-tech
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: visual-verdict
Source: https://github.com/Pryma-Tech/iris/tree/main/cli/skills/visual-verdict
Command: npx skills add https://github.com/Pryma-Tech/iris --skill visual-verdict-pryma-tech

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Compare generated UI screenshots against reference images to produce a strict JSON verdict.

Core Features & Use Cases

  • Automated visual QA checks of layout, typography, spacing, and component styling against references.
  • Deterministic JSON verdicts with score, verdict, category_match, differences, suggestions, and reasoning to guide iterations.
  • Works across design-review workflows for UI regression and visual QA.

Quick Start

Provide reference_images and a generated_screenshot to obtain a strict JSON verdict.

Frequently Asked Questions about visual-verdict

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

FAQPage Schema
How do I automate visual QA checks for UI screenshots against reference images?▼

Automate visual QA by comparing generated UI screenshots against reference images to produce a strict JSON verdict, applying visual fidelity checks across layouts, typography, and spacing in design-review workflows.

What is image diff testing for UI regression and how does it work?▼

Image diff testing for UI regression compares generated screenshots against reference images to identify visual discrepancies. It returns a deterministic JSON schema containing score, verdict, category_match, differences, suggestions, and reasoning to guide iterations.

Can I get a structured JSON verdict from a design review screenshot comparison?▼

Yes, a design review screenshot comparison returns a deterministic JSON schema containing score, verdict, category_match, differences, suggestions, and reasoning to automate iterations and guide visual fidelity checks.

How do I perform visual fidelity checks on layout, typography, and component styling?▼

Perform visual fidelity checks by comparing generated UI screenshots against reference images. This validates layout, typography, spacing, and component styling, returning a strict JSON verdict to automate design-review workflows.

Do I need any dependencies to run automated UI testing for visual regression?▼

No dependencies are required to run automated UI testing for visual regression. Provide reference_images and a generated_screenshot to obtain a strict JSON verdict with score, differences, and suggestions.

What components are included for deterministic screenshot QA in design workflows?▼

Deterministic screenshot QA in design workflows requires no external components. Provide reference_images and a generated_screenshot to obtain a strict JSON verdict containing score, verdict, category_match, differences, suggestions, and reasoning.

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