ml4t-feature-families
Pass
Audited by Gen Agent Trust Hub on Sep 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill functions as a documentation resource for financial feature engineering. The included code snippets utilize standard Python libraries (Polars, NumPy) to perform mathematical transformations on financial data. No malicious instructions, data exfiltration patterns, or obfuscation techniques were identified within the skill content. The referenced 'ml4t-engineer' library is associated with the skill's author and serves the primary stated purpose of the skill.
Audit Metadata