audit-reference-originality
audit-reference-originality is a Non-code artifact review skill for AI agents, published by MengTo in the Skills repository on GitHub. Skillspace rates audit-reference-originality C (74/100) and it passed the safety scan; a judge model has also reviewed it.
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.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 5,963
Placed #1 of 6 in the judged category final for Non-code artifact review.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #1 of 6 in the judged category final for Non-code artifact review.
- Trigger
88 88 - Instructions
93 93 - Specificity
96 96 - Safety
94 94 - Disclosure
88 88 - Maintenance
83 83
Rigorous, evidence-first originality audit with explicit fact/inference separation, git-history forensics, and a deterministic inventory script backing every claim.
Not checked yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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