data-quality-frameworks
data-quality-frameworks is a Data warehousing & modelling skill for AI agents, published by wshobson in the agents repository on GitHub. Skillspace rates data-quality-frameworks D (68/100) and it passed the safety scan; a judge model has also reviewed it.
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 39,622
Placed #6 of 6 in the judged category final for Data warehousing & modelling.
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.
Judge review
Placed #6 of 6 in the judged category final for Data warehousing & modelling.
- Trigger
78 78 - Instructions
48 48 - Specificity
58 58 - Safety
85 85 - Disclosure
52 52 - Maintenance
28 28
A clear Great Expectations quick start is undercut by a body that degrades into a dangling, undefined code fragment left over from some other example.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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
Also published in 1 other repo
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