netneurotools-guide
Pass
Audited by Gen Agent Trust Hub on Jul 10, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill documents the netneurotools library, a legitimate tool for brain network analysis developed by the Network Neuroscience Lab.
- [SAFE]: All listed dependencies (numpy, scipy, scikit-learn, matplotlib, nibabel, nilearn, bctpy, tqdm, neuromaps, pyvista, pysurfer, and numba) are standard, well-maintained scientific packages installed through official channels.
- [SAFE]: The skill's data-fetching capabilities (e.g., fetch_schaefer2018) are transparent and serve the primary scientific purpose of retrieving neuroimaging templates and atlases from established sources.
- [SAFE]: No malicious patterns, such as prompt injection, data exfiltration, or suspicious code obfuscation, were identified during the analysis.
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