metadata-ai-readiness
metadata-ai-readiness is a Data warehousing & modelling skill for AI agents, published by aboyalejandro in the agentic-data-modeling repository on GitHub. Skillspace rates metadata-ai-readiness D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Audit and enrich dbt mart models for AI consumption. Checks schema quality, queries the database to discover edge cases, validates OpenMetadata catalog presence, and writes fixes back to dbt YAML. Triggers include "ai readiness", "is this model ready", "checklist for", "enrich", "pre-merge check".
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- 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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