nan-safe-correlation
Pass
Audited by Gen Agent Trust Hub on Sep 18, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as an educational guide for data scientists, providing correct implementations for Spearman and Pearson correlations handling missing values.
- [SAFE]: The reference implementations utilize well-known, trusted Python libraries including
scipy,numpy,pandas, andjoblibfor numerical computation and parallelization. - [SAFE]: No network operations, exfiltration patterns, credential exposures, or privilege escalation attempts were identified in the instructions or the provided code snippets.
- [SAFE]: All external documentation links point to official and reputable sources (SciPy, Pandas, and academic texts).
Audit Metadata