ml4t-shap-analysis
Pass
Audited by Gen Agent Trust Hub on Sep 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides technical guidance on using SHAP (SHapley Additive exPlanations) for model interpretability. The Python code snippets demonstrate standard usage of the
shap,lightgbm, andnumpylibraries for training models and calculating feature attributions. - [COMMAND_EXECUTION]: The provided scripts focus on mathematical analysis and model diagnostics. There are no attempts to execute arbitrary shell commands, access sensitive system files, or establish unauthorized network connections.
- [EXTERNAL_DOWNLOADS]: The skill mentions the
ml4t-diagnosticlibrary, which is a legitimate internal tool provided by the author (ml4t) for model evaluation and trading analysis. - [DATA_EXFILTRATION]: No exfiltration patterns were detected. The data processing is localized to the provided feature datasets and model outputs.
Audit Metadata