data-science-for-intelligence
Pass
Audited by Gen Agent Trust Hub on May 1, 2026
Risk Level: SAFE
Full Analysis
- [COMMAND_EXECUTION]: The skill uses Python's standard data science libraries (pandas, scikit-learn, etc.) to process data. All SQL queries use parameterized inputs (e.g.,
params=[person_id]), which effectively prevents SQL injection vulnerabilities. - [EXTERNAL_DOWNLOADS]: The skill references official documentation for well-known open-source projects (scikit-learn.org, statsmodels.org, networkx.org, nltk.org) and policy documents from the author's own public GitHub repository (github.com/Hack23). These are legitimate references for a technical skill.
- [DATA_EXFILTRATION]: No evidence of unauthorized data transmission was found. The code focuses on data analysis and visualization within the local execution environment.
- [SAFE]: No malicious patterns, obfuscation, or persistence mechanisms were detected. The skill's instructions and code align with its stated purpose of providing analytical frameworks for political data.
Audit Metadata