fmri-skill

fmri-skill is a Bioinformatics & life sciences skill for AI agents, published by CUHK-AIM-Group in the NeuroClaw repository on GitHub. Skillspace rates fmri-skill D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Use this skill whenever the user wants to perform fMRI preprocessing, first-level analysis, ROI extraction, functional connectivity, effective connectivity, or atlas-based alignment to MNI152 space using either fMRIPrep, HCP-style pipelines, or CONN Toolbox. Triggers include: 'fmri', 'fMRI analysis', 'functional connectivity', 'effective connectivity', 'ROI extraction', 'seed-based correlation', 'PPI', 'DCM', 'atlas alignment', 'MNI152', 'HCP pipeline', 'CONN toolbox', or any request involving BOLD data.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
74

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

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
88 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 2 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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