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 pandas library, 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 pygwalker and static dashboard generation with matplotlib and seaborn.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 21, 2026, 05:04 PM