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_sqlto execute database queries. These queries use proper parameterization (e.g.,%s) for user-provided inputs likeparty_codeandperson_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.
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