analyze-data-quality
Pass
Audited by Gen Agent Trust Hub on Jul 15, 2026
Risk Level: SAFE
Full Analysis
- Structured Data Assessment: The skill defines a standard workflow for profiling datasets, checking for duplicates, and identifying null values. These are standard data science operations intended to ensure analytical accuracy.
- Tool Integration: The skill references internal tools like
~~structured_data,~~operations_logs, and$jupyter-notebooks. These integrations are used within the scope of data analysis and reporting as defined in the skill's purpose. - Risk Identification: It categorizes data quality issues (e.g., Critical, High, Medium) based on their impact on business decisions and dashboard accuracy, which is an industry-standard practice for data governance.
- Safe Data Handling: The instructions emphasize using robust statistical methods (quantiles, IQR) and segments data by time or source to distinguish between legitimate variation and actual quality issues, promoting accurate and safe data interpretation.
Audit Metadata