structured-metadata-migration-review
structured-metadata-migration-review is a Databases & SQL skill for AI agents, published by mk3008 in the rawsql-ts repository on GitHub. Skillspace rates structured-metadata-migration-review D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Review rawsql-ts structured metadata migrations and generators for schema/version parity, real fixture parsing, canonical enum alignment, relationship evidence integrity, display-label quality, and generated review-view consistency. Use when work adds or migrates Concept Specs, Scope/Test/Authority/Technology rule registries, AI review JSON, relationship metadata, or generated review docs.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 30
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
- Category is a classifier prediction; no model has read this skill 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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