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hierarchical SKILL.md skillA

hierarchical 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/hierarchical@git:20260505.e9ddd22

Pins git:20260505.e9ddd22 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/hierarchical/SKILL.md
Versions recorded: 1
Latest version: git:20260505.e9ddd22, committed May 5, 2026
Size: 4,360 bytes
Repository stars: 93
License: MIT

Use this model doc whenever the user wants to perform brain parcellation using Hierarchical clustering. This is a non-deep-learning unsupervised route focused on multi-scale parcel discovery, voxel or vertex grouping, and atlas-like region generation from neuroimaging features.

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

# Hierarchical Model Doc

## Overview
Hierarchical clustering is a classical non-deep-learning method for data-driven brain parcellation.

- Model family: non-deep-learning unsupervised clustering method
- Typical objectives:
  - partition voxels, vertices, or ROI features into data-driven brain parcels
  - build subject-level or group-level parcellations from functional or structural similarity
  - export parcel labels and merge summaries across scales
- Primary input: preprocessed neuroimaging features, optional mask, optional similarity or connectivity representation
- Primary output: parcel label map, cluster summaries, optional dendrogram outputs

In NeuroClaw, this document is model-level guidance for Hierarchical-clustering-based brain parcellation workflows rather than supervised prediction.

Upstream preparation should usually be delegated to:
- `fmri-skill` for rs-fMRI or task-fMRI feature preparation when parcellation is function-driven
- `smri-skill` for structural feature preparation when parcellation is anatomy-driven
- `nilearn-tool` for concrete masking, feature matrix preparation, and hierarchical parcel export

**Research use only.**

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## Quick Start
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add cuhk-aim-group/neurodiscovery/hierarchical@sha256:7e5ff022571e99c1

The line at the top of this page pins the label git:20260505.e9ddd22, 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_lmnhrqrpsqah4o5s.svg)](https://markdownregistry.com/a/art_lmnhrqrpsqah4o5s)

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

Versions

The registry has recorded 1 version of this file, committed on May 5, 2026.

version	committed	commit	size	audit
git:20260505.e9ddd22 latest	2026-05-05	e9ddd22	4,360 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 (4360 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_lmnhrqrpsqah4o5s
GET https://markdownregistry.com/api/v1/resolve?ref=cuhk-aim-group/neurodiscovery/hierarchical
GET https://markdownregistry.com/api/v1/blob/7e5ff022571e99c11b4b79c3c35bf8dbfe8422ecf55f1be2e6d24ecbc510dbe4

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.