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
Risk Level
SAFE
Analyzed
Mar 5, 2026, 01:13 AM