metadata-enrich
metadata-enrich is a Data warehousing & modelling skill for AI agents, published by aboyalejandro in the agentic-data-modeling repository on GitHub. Skillspace rates metadata-enrich D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Audit OpenMetadata for missing or drifted descriptions across all dbt layers, generate AI descriptions, write confirmed descriptions back to dbt YAML (source of truth), then sync to OpenMetadata via patch_entity. Triggers include "enrich metadata", "missing descriptions", "which tables have no description", "fill metadata", "generate descriptions", "update catalog", "sync descriptions".
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.