audit-reference-originality

Audit websites against source references for originality risks and evidence-backed overlap findings.

5.7k|685|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/MengTo/Skills --skill audit-reference-originality
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: audit-reference-originality
Source: https://github.com/MengTo/Skills/tree/main/agent-skills/codex/audit-reference-originality
Command: npx skills add https://github.com/MengTo/Skills --skill audit-reference-originality

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

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.

Frequently Asked Questions about audit-reference-originality

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

FAQPage Schema
How do I check a website for plagiarism against design references?

Build a registry of all supplied references, inventory the current site's text, brands, numbers, images, assets, videos, and structure, then compare category by category. Run the included Python helper to find exact file matches, text overlap, and reused numbers as leads for manual review.

How to detect copied text and assets between two codebases?

Use the build_evidence_inventory.py script with --site and --reference arguments. It computes SHA-256 hashes for exact file matches, eight-word shingle overlap for text, shared number tokens, and Git-history blob matches for deleted or renamed copies.

Does the originality audit check Git history for deleted copied files?

Yes. The audit inspects renamed, deleted, and replaced files using git log, git show, and git log -S. The helper script also hashes reference files and matches them against all historical Git blobs to surface past exposure separately from current output.

Can this audit declare a website legally plagiarized?

No. Findings are reported as originality risks, overlaps, or red flags with severity levels, never as legal conclusions. Copyright, trademark, license, and fair-use questions require legal counsel; the audit only documents observable evidence.

What counts as a false positive in visual similarity audits?

Generic patterns like black backgrounds, large sans-serif type, standard pricing tables, fade-ins, common icon libraries, or shared frameworks are not red flags alone. Escalation requires distinctive combinations, direct file evidence, or reproduced identity, copy, or composition.