Log data quality check outcomes to the data-check register.
npx skills add https://github.com/bryan-zxc/popmartdemo --skill record-data-check
Please help me install this Agent Skill. Skill: record-data-check Source: https://github.com/bryan-zxc/popmartdemo/tree/main/.claude/skills/record-data-check Command: npx skills add https://github.com/bryan-zxc/popmartdemo --skill record-data-check
Record data quality checks, run validations, log results in a central register, and optionally add findings to the data validation report to streamline audit trails and client reviews.
Create the check script in data/validation/scripts, run the check, and log the results in the data check register.
High-intent search queries and answers about installing and using this skill.
To log data validation results, you add SQL or Python scripts to the data validation scripts directory, execute the checks, and record the outcomes in the data check register to maintain an auditable history across projects.
Maintaining an auditable history of data quality checks involves running validation scripts deterministically and logging the outcomes in a central data check register, which can optionally be escalated to a data validation report for client review.
Yes, you can use existing SQL scripts for data validation by placing them in the designated validation scripts folder, executing them through the Python or SQL stack, and updating the data check register with the results.
You escalate failed data quality checks by executing your validation scripts, logging the findings in the data check register, and optionally adding those findings to the data validation report to streamline client reviews and audit trails.
Yes, this data validation approach supports re-running checks deterministically across multiple projects by utilizing standardized scripts within the validation directory and consistently updating the central data check register with the execution results.
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