data-catalog-entry
data-catalog-entry is a Data warehousing & modelling skill for AI agents, published by nimrodfisher in the data-analytics-skills repository on GitHub. Skillspace rates data-catalog-entry B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Create standardized metadata for data assets. Use when documenting new datasets, building data catalogs, improving data discoverability, or creating data dictionaries for teams.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 282
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
- 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
- Scope
- Portable: works in any project. General data-catalog documentation practice, not company-specific.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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