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skill CX Codex

audit-reference-originality — Claude Code skill: audit a site against

Compares a shipped site with its reference corpus and flags overlaps in copy, brands, numbers, images and code. Useful before release.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add MengTo/Skills --skill audit-reference-originality -a claude-code
Open on GitHub

What audit-reference-originality does

The skill audits eight categories: text, brands, numbers, images, assets, videos, structure and motion, plus repository history. It starts by building a source registry from manifests, prompt packs, stills, full-page captures, MP4s, reference URLs and attribution files, then inventories the current site and its past versions. Every red flag carries two evidence locations: the artifact on the site and the artifact in the reference.

For local files there is a deterministic helper: `python <skill-dir>/scripts/build_evidence_inventory.py --site <site-root> --reference <reference-file-or-directory> --output <temporary-output.json>`. It looks for exact file matches including historical ones, reused basenames, normalized text overlap and repeated number tokens. Treat the output as leads for human review, not a verdict.

The skill refuses to make legal calls. Findings are labelled originality risks or overlaps, never plagiarism. If a promised reference is missing, the audit stops and reports an access gap instead of quietly narrowing scope. Common patterns like black backgrounds or ordinary pricing tables are not red flags on their own; combinations of distinctive elements are. Keep that in mind if you expect an automatic verdict from a single homepage screenshot.

What it helps with

  • compare site copy and headlines against reference pages
  • find reused logos, fonts and icons across assets
  • check whether metrics, prices and dates match the source
  • trace a copied file that was later renamed or deleted
  • get a fix list that breaks the overlap instead of disguising it

Example prompts for the agent

  • audit the site for originality against the references in references/
  • compare the current build with the capture-pack and list red flags in copy and imagery
  • run build_evidence_inventory.py over site/ and references/ and walk me through the leads

How to install audit-reference-originality

1Skills CLI (Vercel)

npx skills add MengTo/Skills --skill audit-reference-originality -a claude-code

2Manually: put the files in place

~/.claude/skills/audit-reference-originality/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/audit-reference-originality/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about audit-reference-originality

How do I install audit-reference-originality in Claude?

Run npx skills add MengTo/Skills --skill audit-reference-originality -a claude-code. The skill file lands at ~/.claude/skills/audit-reference-originality/SKILL.md.

What does audit-reference-originality do?

It compares a site against supplied references and raises evidence-backed originality risks across text, brands, numbers, images, assets, videos, structure and history. It does not declare legal plagiarism.

What references does the audit need?

Manifests, prompt packs, originality matrices, stills and section crops, MP4s with extracted frames, reference URLs, brand assets, copy, numbers and attribution files. When a promised reference is missing, the skill reports an access gap rather than passing the check.

Source text

SKILL.md · MIT
---
name: audit-reference-originality
description: Audit a website or digital experience against its supplied source references for originality and plagiarism risk. Use when Codex must compare current or historical site output with reference pages, capture packs, screenshots, copy, brands, numbers, images, assets, videos, layouts, motion, or code; raise evidence-backed red flags; distinguish common visual grammar from distinctive copying; and propose concrete fixes without making unsupported legal claims.
---

# Audit Reference Originality

Compare the shipped experience with the complete reference corpus. Treat the audit as an evidence exercise, not a vibe check.

## Preserve the audit boundary

- Audit only unless the user also asks for fixes.
- Call findings `originality risks`, `overlaps`, or `red flags`; do not declare legal plagiarism from visual similarity alone.
- Pair every red flag with exact current-site evidence and exact reference evidence.
- Keep fact, inference, and unknown access separate.
- Do not clear a site after checking only its homepage screenshot.

## 1. Build the source registry

Start with the materials explicitly supplied in the task or recorded by the project:

- manifests, prompt packs, and originality matrices
- representative stills, full-page captures, and section crops
- MP4s and extracted motion frames
- reference URLs and named creators
- source brand assets, copy, numbers, screenshots, and downloads
- project briefs, `IMAGE_CREDITS.md`, licenses, and attribution files

Prefer local evidence captured at the time of the brief. Use a live reference only to fill a real gap, because it may have changed. Record each reference's path or URL, role, date when known, and which categories it can prove.

Stop and report an access gap when a promised reference is missing. Do not silently reduce a full-page or motion audit to one cover image.

## 2. Inventory the current site and its history

Inspect:

- rendered text, metadata, navigation, calls to action, legal copy, and hidden accessible labels
- brand names, wordmarks, logos, icons, people, companies, URLs, and product/interface data
- prices, metrics, dates, counts, percentages, package names, and repeated proof claims
- every rendered image, background, texture, screenshot, font, logo, icon, audio file, and downloadable asset
- every video, poster, frame sequence, shot order, transition, duration, and playback treatment
- layout hierarchy, section order, distinctive compositions, typography behavior, motion grammar, shaders, cursor effects, and interaction sequences
- current source, built output when available, asset provenance, and repository history

Do not trust filenames as proof of originality. Inspect the bytes, visible result, and history. Search renamed, deleted, and replaced files with `git log`, `git show`, `git log -S`, and `git log --all --name-status`.

Run the deterministic inventory helper when local files are available:

```bash
python <skill-dir>/scripts/build_evidence_inventory.py \
  --site <site-root> \
  --reference <reference-file-or-directory> \
  --reference <another-reference> \
  --output <temporary-output.json>
```

The helper finds current and historical exact-file matches, suspicious basename reuse, normalized text overlap, and repeated number tokens. Treat its output as leads for human review, not an automatic verdict.

## 3. Compare category by category

Read [references/audit-rubric.md](references/audit-rubric.md) before judging findings.

Audit at least these categories:

1. **Text** — headlines, body copy, labels, CTAs, captions, legal text, alt text, metadata, and decorative wording.
2. **Brands** — names, marks, wordmarks, proprietary icons, people, companies, partnerships, URLs, and distinctive verbal identity.
3. **Numbers** — metrics, percentages, prices, dates, counts, plan structures, durations, and interface values.
4. **Images** — exact files, crops, generated derivatives, screenshots, people, poses, objects, signature compositions, and color treatment.
5. **Assets** — fonts, icons, logos, textures, mockups, downloads, code bundles, and third-party media with unclear provenance.
6. **Videos** — exact files, frames, shots, timing, camera moves, edit rhythm, transitions, overlays, posters, and audio.
7. **Structure and motion** — section order, unusual layout devices, pinned sequences, cursor interactions, shaders, and combinations of signature elements.
8. **History** — copied material that was later renamed, recolored, cropped, hidden, deleted, or replaced.

Common patterns such as black backgrounds, large sans-serif type, ordinary pricing tables, standard fade-ins, or a conventional footer are not red flags by themselves. Escalate combinations of distinctive elements or direct evidence.

## 4. Triangulate every red flag

For each candidate:

1. Identify the current-site artifact and location.
2. Identify the exact reference artifact and location.
3. State the observable overlap without guessing intent.
4. State what differs.
5. Assign severity using the rubric.
6. Propose the smallest fix that breaks the overlap while preserving the site's goal.

Use hashes for exact files, normalized excerpts for copy, side-by-side crops for imagery, and matched timestamps or frames for video. A source-brand string found only in a test that explicitly forbids it is not a shipped-copy violation; explain context.

## 5. Propose fixes

Prefer concrete replacements:

- rewrite source-like copy from the new brand's audience, offer, and vocabulary
- replace names, URLs, logos, people, metrics, dates, plan names, and legal text
- regenerate or license new imagery with a materially different subject, composition, and motif arrangement
- replace copied assets and document provenance
- re-cut videos with new shots, timing, transitions, overlays, and audio
- reorder or redesign distinctive section and motion sequences
- remove stale source material from current output and, when required, repository history or published artifacts

Do not recommend cosmetic recoloring as a fix for copied identity, copy, media, or composition.

## 6. Report the result

Lead with one verdict:

- `Clear in checked scope`
- `Clear with low-risk similarities`
- `Changes recommended`
- `Block release`
- `Blocked by missing evidence`

Then provide:

1. checked source registry
2. red-flag table ordered by severity
3. category pass list
4. history findings
5. access gaps and unproven areas
6. prioritized fix plan

Include a row even when a high-risk category could not be checked. Never turn missing evidence into a pass.

## Completion checks

- Every supplied reference form was inspected.
- Rendered output and source were both checked.
- Text, brands, numbers, images, assets, videos, structure/motion, and history were covered.
- Every red flag cites two evidence locations.
- Exact matches are distinguished from stylistic similarity.
- Proposed fixes replace the copied element rather than disguising it.
- The report states what remains unverified.

© MengTo · MIT · MengTo/Skills

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