signal-classification
Pass
Audited by Gen Agent Trust Hub on Mar 21, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill documentation and source code focus on educational and functional aspects of machine learning in finance. The provided scripts operate as intended for model development and evaluation without attempting to bypass safety filters or perform unauthorized actions.
- [EXTERNAL_DOWNLOADS]: The skill utilizes industry-standard Python libraries for data science and machine learning, including pandas, numpy, and scikit-learn. It also suggests well-known packages such as xgboost, lightgbm, shap, and optuna for advanced model training and analysis. All referenced dependencies are standard tools from official package registries.
- [COMMAND_EXECUTION]: The scripts provided (
scripts/train_classifier.pyandscripts/walk_forward_backtest.py) are designed for local data processing and machine learning training using synthetic data. They do not contain any patterns for arbitrary command execution, privilege escalation, or persistence.
Audit Metadata