skills/aliyun/qwen-dianjin/xgb-tuning/Gen Agent Trust Hub

xgb-tuning

Pass

Audited by Gen Agent Trust Hub on Jun 29, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill implements hyperparameter tuning using standard, well-known machine learning libraries including XGBoost, Optuna, Scikit-learn, and Pandas.
  • [SAFE]: Data access is limited to reading CSV and Parquet files provided via the --data_path argument. No unauthorized file system access or sensitive path traversal was detected.
  • [SAFE]: All operations are local; no network requests or data exfiltration patterns were found in the analyzed scripts.
  • [SAFE]: The code uses standard 'vendoring' practices to manage internal dependencies, adding local paths to sys.path to ensure module availability.
  • [SAFE]: Model saving and loading use standard XGBoost and JSON serialization methods for metadata, which do not pose a high security risk in this context.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 29, 2026, 06:40 AM
Security Audit — agent-trust-hub — xgb-tuning