data-analysis
Pass
Audited by Gen Agent Trust Hub on Sep 21, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides documentation and code templates for data analysis workflows. It contains no executable malicious code, persistence mechanisms, or data exfiltration patterns.
- [DATA_PROCESSING]: Implements standard data cleaning and exploration functions using the
pandaslibrary, including duplicate removal and missing value imputation. - [SQL_PATTERNS]: Provides optimized SQL templates for window functions, materialized views, and performance tuning (e.g., partial indexes).
- [ETL_PATTERNS]: Outlines a standard ETL/ELT architecture compatible with common orchestration tools like Airflow or Dagster.
- [VISUALIZATION]: Includes patterns for interactive data exploration using
pygwalkerand static dashboard generation withmatplotlibandseaborn.
Audit Metadata