data-science-for-intelligence

Pass

Audited by Gen Agent Trust Hub on Mar 4, 2026

Risk Level: SAFE
Full Analysis
  • [COMMAND_EXECUTION]: The skill uses pandas.read_sql to execute database queries. These queries use proper parameterization (e.g., %s) for user-provided inputs like party_code and person_id, which effectively prevents SQL injection vulnerabilities.
  • [EXTERNAL_DOWNLOADS]: The skill references official documentation for well-known data science libraries (scikit-learn, statsmodels, networkx) and links to the author's public ISMS policies on GitHub. These references are neutral, informative, and do not involve the execution of untrusted remote code.
  • [SAFE]: Analysis of the Python code reveals standard data science workflows including time-series forecasting, random forest classification, and k-means clustering. No patterns of data exfiltration, privilege escalation, or persistence were found.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 4, 2026, 03:37 AM