---
title: "fmri-workbench"
description: "Modular BIDS discovery, first-level fMRI modeling, group inference, and reporting with explicit scientific decisions."
canonical: https://agentpluginsdirectory.com/plugins/fmri-workbench
last-updated: 2026-09-28
---

# fmri-workbench
Modular BIDS discovery, first-level fMRI modeling, group inference, and reporting with explicit scientific decisions.
- Slug: fmri-workbench
- Publisher: fMRI Workbench contributors
- Repository: https://github.com/bbuchsbaum/brbskills
- Manifest: collections/fmri-workbench/plugin.json
- Version: 0.1.0
- License: MIT
- Category (editorial): other
- Skills: 5 (fmri-bids, fmri, fmrigds, fmrireg, neuromosaic)
- MCP servers: 0
- Stars: 0
- Repository created: 2026-09-27
- Repository last pushed: 2026-09-27
- Publisher type: User
- Listing: https://agentpluginsdirectory.com/plugins/fmri-workbench
- Schema: https://agent-plugins.org/schemas/1.0.0/plugin.schema.json

## What fmri-workbench does, in the publisher's words

Version 0.1.0 · reviewed 27 September 2026

Five independently usable skills for task-fMRI discovery, analysis and reports:

The end-to-end route begins with preprocessed BOLD, or reports an explicit preprocessing handoff for raw-only data. These packages do not replace a spatial preprocessing pipeline. This release focuses on task GLMs, not a universal resting-state, connectivity, decoding, or clinical workflow.

From the project README, punctuation lightly normalized. Full text: https://raw.githubusercontent.com/bbuchsbaum/brbskills/HEAD/collections/fmri-workbench/README.md

## Skills

- fmri-bids: Inspect and audit BIDS fMRI datasets with bidser: inherited metadata, derivatives, events, confounds, and acquisition matching. Use for dataset discovery or analysis readiness; do not fit models or preprocess images.
- fmri: Coordinate end-to-end task-fMRI analyses across BIDS discovery, fmrireg models, fmrigds group inference, and neuromosaic reports. Use for multi-stage analysis plans or execution, not a single-package question.
- fmrigds: Build and validate group-level fMRI analyses with fmrigds from existing effect/statistic maps or tables: covariates, uncertainty, repeated measures, corrections, and cohort examination. Does not require first-level refitting.
- fmrireg: Specify, diagnose, fit, or export first-level task-fMRI GLMs with fmrireg, including HRFs, nuisance baselines, contrasts, and native batch jobs. Use independently of group analysis and reports; not for preprocessing.
- neuromosaic: Create neuromosaic fMRI map montages, atlas-annotated cluster reports, or interactive explorers from existing statistical outputs. Use without refitting analyses; distinguish display thresholds from statistical inference.

Descriptions come from the frontmatter of each SKILL.md, punctuation lightly normalized.