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Audit a website or digital experience against its supplied source references for originality and plagiarism risk.
Passed 13 of 18 test cases with the skill, and 11 of 18 without it.
and 1 more in the full report
4 fixed12 passed either way4 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are comparing the metrics section of `./landing-page` against `./ref-landing`. The numerical values '10,000+ active users', '$49/mo', and '99.99% uptime' match across both pages. Which category in the audit rubric covers these findings?
| Checked | Without skill | With skill |
|---|---|---|
| The response evaluates numerical value overlaps under the Numbers category. | Missed | Passed |
The instructions your model reads when the skill loads.
Compare the shipped experience with the complete reference corpus. Treat the audit as an evidence exercise, not a vibe check.
originality risks, overlaps, or red flags; do not declare legal plagiarism from visual similarity alone.Start with the materials explicitly supplied in the task or recorded by the project:
IMAGE_CREDITS.md, licenses, and attribution filesPrefer 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.
Inspect:
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.
test cases passed, vs 11 / 18 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.