Structured visual QA verdict for screenshot-to-reference comparisons
Scanned 9/8/2026
Install to Claude Code
npx -y skills add agisota/old-one --skill visual-verdict --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: visual-verdict
description: Structured visual QA verdict for screenshot-to-reference comparisons
---
<Purpose>
Use this skill to compare generated UI screenshots against one or more reference images and return a strict JSON verdict that can drive the next edit iteration.
</Purpose>
<Use_When>
- The task includes visual fidelity requirements (layout, spacing, typography, component styling)
- You have a generated screenshot and at least one reference image
- You need deterministic pass/fail guidance before continuing edits
</Use_When>
<Inputs>
- `reference_images[]` (one or more image paths)
- `generated_screenshot` (current output image)
- Optional: `category_hint` (e.g., `hackernews`, `sns-feed`, `dashboard`)
</Inputs>
<Output_Contract>
Return **JSON only** with this exact shape:
```json
{
"score": 0,
"verdict": "revise",
"category_match": false,
"differences": ["..."],
"suggestions": ["..."],
"reasoning": "short explanation"
}
```
Rules:
- `score`: integer 0-100
- `verdict`: short status (`pass`, `revise`, or `fail`)
- `category_match`: `true` when the generated screenshot matches the intended UI category/style
- `differences[]`: concrete visual mismatches (layout, spacing, typography, colors, hierarchy)
- `suggestions[]`: actionable next edits tied to the differences
- `reasoning`: 1-2 sentence summary
<Threshold_And_Loop>
- Target pass threshold is **90+**.
- If `score < 90`, continue editing and rerun `$visual-verdict` before any further code edits in the next iteration.
- Persist the verdict in `.omx/state/{scope}/ralph-progress.json` with both:
- numeric signal (`score`, threshold pass/fail)
- qualitative signal (`reasoning`, `suggestions`, `next_actions`)
</Threshold_And_Loop>
<Debug_Visualization>
When mismatch diagnosis is hard:
1. Keep `$visual-verdict` as the authoritative decision.
2. Use pixel-level diff tooling (pixel diff / pixelmatch overlay) as a **secondary debug aid** to localize hotspots.
3. Convert pixel diff hotspots into concrete `differences[]` and `suggestions[]` updates.
</Debug_Visualization>
<Example>
```json
{
"score": 87,
"verdict": "revise",
"category_match": true,
"differences": [
"Top nav spacing is tighter than reference",
"Primary button uses smaller font weight"
],
"suggestions": [
"Increase nav item horizontal padding by 4px",
"Set primary button font-weight to 600"
],
"reasoning": "Core layout matches, but style details still diverge."
}
```
</Example>
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