dataverse-data-review
dataverse-data-review is a Databases & SQL skill for AI agents, published by scottdurow in the power-platform-full-stack-skills repository on GitHub. Skillspace rates dataverse-data-review C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Comprehensive Dataverse data model reviewer and critic. Evaluates proposed schemas against 74+ rules covering naming, normalization, data types, business rules, evolvability, and platform-specific best practices. Produces structured assessments with actionable feedback. Triggers on "review my data model", "critique this schema", "is my Dataverse design correct", "data model review", "schema review", "evaluate my tables", "check my data model", "Dataverse best practices review", "normalization check".
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 29
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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