ml-testing-patterns
Pass
Audited by Gen Agent Trust Hub on Oct 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides boilerplate code and patterns for ML testing, including data quality checks and behavioral testing. No malicious patterns were identified in the instruction or code snippets.
- [SAFE]: Data access is restricted to local project paths (e.g., 'data/test_v3.parquet', 'models/sentiment_model.pkl') for loading models and datasets during testing. No network exfiltration or sensitive file access was found.
- [SAFE]: Dependency usage is limited to standard, well-known machine learning and testing libraries such as pytest, pandas, joblib, and transformers.
Audit Metadata