Визуальная проверка UI по эталонным скриншотам

★ 8.5 · testing

visual-verdict is a Claude Code skill that compares generated UI screenshots against one or more reference images and returns a strict JSON verdict to drive the next edit iteration. It accepts reference_images[], a generated_screenshot, and an optional category_hint (e.g., hackernews, dashboard, sns-feed), then outputs a structured object containing score (0–100), verdict (pass / revise / fail), category_match, concrete differences[], actionable suggestions[], and a short reasoning summary. The pass threshold is 90: while the score stays below it, the skill requires continuing edits and re-running before any further visual review. When mismatch diagnosis is difficult, pixel-level diff tooling serves as a secondary debug aid to localize hotspots, which are then translated into specific differences and suggestions entries. It is built for teams that need deterministic, automatable visual fidelity checks during UI development, design review, or regression testing workflows.