FM-APP (Claude Skill)

Run FM-APP for phenotype prediction using fMRI ROI features and optional sMRI features.

Type	Claude Skill
Supplier	CUHK-AIM-Group (community OSS, MIT)
Availability	GA — part of the NeuroClaw neuroimaging skill library
Pricing	Free / OSS (MIT)
Capabilities	Read/Write — Claude runs the skill’s Python locally (Bash), not as an MCP tool

How to install

• Claude Code — clone and copy the skill into your skills directory:

  git clone https://github.com/CUHK-AIM-Group/NeuroClaw
  cp -r NeuroClaw/skills/fm_app ~/.claude/skills/
  

  Project-scoped alternative: copy into .claude/skills/ instead. NeuroClaw skills assume the collection’s shared helpers (claw-shell, modality tool skills) and the upstream neuroimaging stack (FreeSurfer/FSL/fMRIPrep/etc.) — install those dependencies, or run the bundled installer for the full environment:

  cd NeuroClaw && python installer/setup.py
  

  which configures the Python env, CUDA/GPU, and the neuroimaging tools.

What it does

Use this model doc whenever the user wants to run FM-APP for phenotype prediction using fMRI ROI features and optional sMRI features. This document provides model-level usage and delegates preprocessing to fmri-skill and smri-skill.

Primary use cases: Run FM-APP for phenotype prediction using fMRI ROI features and optional sMRI features.

Notes

Distributed as a SKILL.md (plus code examples) in the NeuroClaw skill library — Claude executes it locally via Bash/Python rather than as an MCP server. Upstream license: MIT. The skill directory upstream is skills/fm_app.

Sources

• CUHK-AIM-Group/NeuroClaw
• skills/fm_app/SKILL.md

---

Installed this tool?

Share feedback — install path, OS, errors, workarounds. The form opens with this tool pre-selected and a link back to this page.