scientific-meta-analysis
Pass
Audited by Gen Agent Trust Hub on Jun 24, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides standard Python implementations for meta-analysis statistics (Hedges' g, Odds Ratio, etc.) and uses standard visualization libraries. The code is transparent and follows academic data processing conventions.
- [EXTERNAL_DOWNLOADS]: Dependencies are restricted to reputable and well-known Python packages (scipy, statsmodels). References to external tools focus on established scientific databases like PubMed, EuropePMC, and Crossref, which are appropriate for the skill's research-oriented purpose.
- [DATA_EXFILTRATION]: File system interactions are limited to saving analytical results (CSV files) and visualizations (PNG plots) in local directories. There are no network operations that exfiltrate data to untrusted domains.
- [COMMAND_EXECUTION]: No usage of subprocess, os.system, or other shell execution patterns was found. The skill operates entirely within the Python runtime environment for mathematical analysis.
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