What problem does it solve?
When a website or digital experience is built from design references, it can accidentally ship copied copy, brands, numbers, images, videos, or layouts. This Skill provides a structured, evidence-based audit process to compare shipped output against the full reference corpus and flag originality risks before release.
Core Features & Use Cases
- Category-by-category comparison: Audits text, brands, numbers, images, assets, videos, structure/motion, and Git history against supplied references using a defined severity rubric.
- Deterministic evidence inventory: A Python helper script detects exact file hash matches, historical Git blob matches, suspicious basename reuse, normalized text overlap, and repeated number tokens.
- Severity-ranked reporting: Produces a verdict (from "Clear in checked scope" to "Block release"), a red-flag table with dual evidence citations, and a prioritized fix plan.
- Use Case: Before launching a landing page inspired by a competitor's site, run the audit to confirm no copy, metrics, imagery, or distinctive motion sequences were carried over, and get concrete replacement fixes for any overlaps found.
Quick Start
Use the audit-reference-originality skill to compare this website against its source references and report originality risks with fixes.