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brainnetcnn SKILL.md skillA

brainnetcnn from cuhk-aim-group/neurodiscovery is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add cuhk-aim-group/neurodiscovery/brainnetcnn@git:20261023.f74c2bd

Pins git:20261023.f74c2bd in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: cuhk-aim-group/neurodiscovery
Path: skills/brainnetcnn/SKILL.md
Versions recorded: 2
Latest version: git:20261023.f74c2bd, committed Oct 23, 2026
First version recorded: Aug 25, 2026
Size: 4,704 bytes
Repository stars: 93
License: MIT

Use this model skill whenever the user wants to train, evaluate, or apply BrainNetCNN to dense ROI-by-ROI structural or functional connectivity matrices for neuroimaging classification or regression. Triggers include 'BrainNetCNN', 'edge-to-edge convolution', 'connectome CNN', 'FC matrix CNN', 'brain network classification', and 'connectivity regression'.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# BrainNetCNN Model Skill

## Overview

BrainNetCNN applies convolutional operators designed for adjacency matrices:
edge-to-edge (E2E), edge-to-node (E2N), and node-to-graph (N2G). Use it when
each subject is represented by a dense, consistently ordered ROI connectivity
matrix and the target is categorical or continuous.

- Paper: Kawahara et al., 2017, *BrainNetCNN: Convolutional neural networks for
  brain networks; towards predicting neurodevelopment*
- NeuroRuntime implementation: `models/brainnetcnn/`
- Input: dense FC matrix `[subjects, ROI, ROI]`
- Tasks: classification and regression
- Data adapter: shared with BNT

**Research use only.**

---

## Input Contract

Prepare one file per subject:

```text
data/braingnn_input/<atlas>/sub-<subject_id>.pt
```

Each file must contain:

```python
{
    "subject_id": str,
    "atlas": str,
    "fc_matrix": Tensor[n_roi, n_roi],  # Fisher-z values
    "node_features": Tensor[n_roi, n_roi],  # accepted fallback
}
```

The shared BNT adapter applies `tanh` to recover Pearson correlations and
zeros the diagonal. All subjects in one run must use the same atlas, ROI
ordering, and matrix size.

Labels use CSV format:

```text
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add cuhk-aim-group/neurodiscovery/brainnetcnn@sha256:e37a7925ffd42cac

The line at the top of this page pins the label git:20261023.f74c2bd, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

[![mdr](https://markdownregistry.com/badge/art_alfu2iqxlfvbqkx7.svg)](https://markdownregistry.com/a/art_alfu2iqxlfvbqkx7)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Aug 25, 2026 and Oct 23, 2026, about one every 59 days.

version	committed	commit	size	audit
git:20261023.f74c2bd latest	2026-10-23	f74c2bd	4,704 B	A	view · diff
git:20260825.cbd02ff	2026-08-25	cbd02ff	4,701 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (4704 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag

Source

GitHub

cuhk-aim-group/neurodiscovery · 93 stars · license MIT · pushed 2026-10-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_alfu2iqxlfvbqkx7
GET https://markdownregistry.com/api/v1/resolve?ref=cuhk-aim-group/neurodiscovery/brainnetcnn
GET https://markdownregistry.com/api/v1/blob/e37a7925ffd42cacad99cff6824eb1e814f68bf1b965132711283e0cd82b2c14

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.