data-warehouse-experimentation
Pass
Audited by Gen Agent Trust Hub on May 9, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides technical documentation and templates for data science tasks. No malicious behavior, prompt injection, or data exfiltration attempts were detected.
- [SAFE]: Python code examples use standard, well-known libraries (pandas, numpy, scipy, statsmodels) for statistical computation.
- [SAFE]: SQL templates for BigQuery, Snowflake, and Postgres follow standard patterns for deterministic hashing and data aggregation.
- [SAFE]: The skill correctly recommends security and methodology best practices, such as pre-registering experiment parameters and using shared dbt models to ensure metric consistency.
Audit Metadata