senior-data-scientist
Pass
Audited by Gen Agent Trust Hub on Apr 2, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides comprehensive instructions for data science tasks without introducing security vulnerabilities. It focuses on established methodologies for exploratory data analysis, feature engineering, and model selection.
- [SAFE]: References to external services like MLflow and Weights & Biases (W&B) are for standard experiment tracking and do not involve unauthorized data exfiltration or credential harvesting.
- [SAFE]: The code snippets provided utilize well-known, legitimate Python packages from the official PyPI registry (e.g., scikit-learn, XGBoost, Optuna).
- [SAFE]: No evidence of prompt injection, obfuscation, or unauthorized privilege escalation was found within the skill's instructions or metadata.
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