senior-data-scientist

Pass

Audited by Gen Agent Trust Hub on Sep 4, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides legitimate implementations for statistical modeling, experiment design, and machine learning using established libraries such as NumPy, Scipy, Pandas, Scikit-learn, and XGBoost.
  • [SAFE]: No evidence of prompt injection, data exfiltration, obfuscation, or unauthorized command execution was found in the skill instructions or scripts.
  • [SAFE]: The reference documentation correctly identifies security best practices, including input validation and data encryption, as core principles for production-ready systems.
  • [SAFE]: The shell commands listed in the skill body are standard development and deployment tasks (e.g., linting, testing, and containerization) and do not contain any hidden or malicious arguments.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 4, 2026, 01:32 PM