data-science

Pass

Audited by Gen Agent Trust Hub on Feb 26, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill contains Python code templates for data science tasks such as descriptive statistics, hypothesis testing (T-tests, ANOVA), and dimensionality reduction (PCA, t-SNE).
  • [SAFE]: All libraries used (pandas, numpy, matplotlib, seaborn, scipy, statsmodels, and scikit-learn) are industry-standard tools for data analysis.
  • [SAFE]: No network operations, external downloads, or remote code execution patterns were identified.
  • [SAFE]: No sensitive file access or credential exposure was found; the script only interacts with provided data objects and saves visualization plots to the local directory.
  • [SAFE]: No prompt injection or obfuscation techniques are present in the documentation or code blocks.
Audit Metadata
Risk Level
SAFE
Analyzed
Feb 26, 2026, 06:01 AM