python-analytics
Pass
Audited by Gen Agent Trust Hub on Mar 5, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate code snippets for data cleaning, statistical analysis, and visualization in a healthcare context. No malicious intent or suspicious patterns were found.
- [EXTERNAL_DOWNLOADS]: References standard, well-known Python libraries (pandas, numpy, scipy, matplotlib, seaborn, plotly, pydicom, papermill) used for data science and medical imaging. These are considered safe dependencies.
- [COMMAND_EXECUTION]: Provides a template for a production script using
argparse, which is a standard practice for CLI tools. It does not contain any arbitrary or dangerous command execution. - [DATA_EXFILTRATION]: Demonstrates local file access (reading CSV and DICOM files) consistent with the skill's primary purpose of data analysis. No network operations or credential harvesting were identified.
Audit Metadata