netneurotools-guide

netneurotools-guide is a Bioinformatics & life sciences skill for AI agents, published by NeuroAIHub in the BrainPilot repository on GitHub. Skillspace rates netneurotools-guide C (74/100) and it passed the safety scan; the rating is based on static analysis only.

Domain-validated guidance for network neuroscience analysis using netneurotools: datasets, brain network metrics, connectivity consensus, modularity, spatial statistics, null models, and cortical surface visualization. Use this skill whenever the user works with brain connectivity matrices, connectomes, graph theory on brain networks, parcellated brain data (Schaefer, Cammoun, Desikan-Killiany), cortical surface templates (fsaverage, fsLR, CIVET, Conte69), network communication metrics, null model generation, spatial autocorrelation on brain maps, community detection in connectomes, or surface-based visualization with PyVista/PySurfer. Also trigger when the user mentions netneurotools, netneurolab, structure-function coupling, network neuroscience, brain graph analysis, or needs to fetch neuroimaging atlases and templates.

Grade

C

Quality

74 / 100

Safety

Passed

GitHub stars

662

Unproven: rated by static analysis only, not yet compared head-to-head.

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