Description
data-quality-frameworks is an agent skill from the wshobson/agents collection for building data quality validation into data pipelines. It covers three tools and approaches: Great Expectations for validating datasets against expectations, dbt tests for checking transformed models, and data contracts that set agreed rules between the teams that produce and consume data. The skill begins with the core dimensions of data quality, which give the checks a shared vocabulary, and then gives patterns for building the checks into a pipeline so bad data is caught before it reaches reports or models. Its uses include implementing data quality checks in pipelines, setting up Great Expectations validation, building comprehensive dbt test suites, establishing data contracts between teams, monitoring quality metrics over time, and running data validation automatically in CI/CD. It is written for data engineers and analytics engineers who want quality rules to live in code and run on every change rather than be checked by hand. The skill is installed with the skills CLI from the wshobson/agents repository. Its skills.sh page showed about 11.0K installs and passing results from three security audits at the time of the scan.…
Highlights
- Great Expectations validation patterns
- dbt test suites
- Data contracts between teams
- Core data quality dimensions
- Quality checks in CI/CD
- Installs with the skills CLI
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data-quality-frameworks FAQ
What tools does it cover?
Great Expectations for dataset validation, dbt tests for transformed models, and data contracts between producers and consumers.
Can I run the checks automatically?
Yes. The skill covers automating data validation in CI/CD.
What are data contracts?
Agreed rules between the teams that produce data and the teams that use it, which the skill covers as a way to set expectations.
Who is it for?
Data engineers and analytics engineers building reliable pipelines.
How do I install it?
Run npx skills add https://github.com/wshobson/agents --skill data-quality-frameworks.
What security audits does it have?
skills.sh lists three audits: Gen Agent Trust Hub Pass, Socket Pass and Snyk Pass.
What are the best data-quality-frameworks alternatives?
Popular alternatives to data-quality-frameworks include dbt-transformation-patterns, clean-data-xls and using-agent-skills. See all data-quality-frameworks alternatives