data-quality-suite
data-quality-suite is a Data warehousing & modelling skill for AI agents, published by vinodhini-sd in the build-with-coco repository on GitHub. Skillspace rates data-quality-suite B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Multi-framework data quality suite. Sets up quality checks, gates, and monitoring across Snowflake DMFs, dbt tests, Great Expectations, Soda Core, Snowpark pipelines, and PySpark pipelines. Use when: data quality, quality checks, quality gates, dq suite, test suite, gx, great expectations, soda core, soda checks, dbt tests, dbt schema tests, quality framework, monitor my data, check my data, add quality checks, quality gate pipeline, null checks, freshness checks, row count checks, feature quality, pipeline quality, quality suite.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 22
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
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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