review-audit
review-audit is a Customer feedback analysis skill for AI agents, published by motion-team in the creative-strategy-skills repository on GitHub. Skillspace rates review-audit D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Analyzes positive customer reviews to surface deep customer insights for ad copy. Use this whenever a user provides customer reviews and wants to understand their customers better, extract VOC (voice of customer), find ad-ready language, or build messaging strategy from real customer language. Trigger for any request involving "analyze these reviews," "what are customers saying," "find insights in these reviews," "VOC analysis," or any variation of wanting to mine customer reviews for creative strategy inputs. Output is always organized by product (if multiple), and surfaces five buckets of insight: pain points, trigger moments, objections, transformations, and standout language.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 139
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- 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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