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kmeans SKILL.md skillA

kmeans 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/kmeans@git:20260825.cbd02ff

Pins git:20260825.cbd02ff 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/kmeans/SKILL.md
Versions recorded: 2
Latest version: git:20260825.cbd02ff, committed Aug 25, 2026
First version recorded: May 5, 2026
Size: 4,312 bytes
Repository stars: 93
License: MIT

Use this model doc whenever the user wants to perform brain parcellation using K-means. This is a non-deep-learning unsupervised route focused on 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

# K-means Model Doc

For subject-level disease subtyping, use the maintained implementation in
`models/subtyping/` through the `subject-subtyping` skill. This document and the
Nilearn K-means reference remain specific to spatial brain parcellation.

## Overview
K-means 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 cluster summaries
- Primary input: preprocessed neuroimaging features, optional mask
- Primary output: parcel label map, cluster summaries, optional centroid outputs

In NeuroClaw, this document is model-level guidance for K-means-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
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add cuhk-aim-group/neurodiscovery/kmeans@sha256:d6f2e0c251e86f47

The line at the top of this page pins the label git:20260825.cbd02ff, 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_nztbj262juzutiqc.svg)](https://markdownregistry.com/a/art_nztbj262juzutiqc)

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

Versions

The registry has recorded 2 versions of this file, between May 5, 2026 and Aug 25, 2026, about one every 112 days.

version	committed	commit	size	audit
git:20260825.cbd02ff latest	2026-08-25	cbd02ff	4,312 B	A	view · diff
git:20260505.e9ddd22	2026-05-05	e9ddd22	4,082 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 (4312 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_nztbj262juzutiqc
GET https://markdownregistry.com/api/v1/resolve?ref=cuhk-aim-group/neurodiscovery/kmeans
GET https://markdownregistry.com/api/v1/blob/d6f2e0c251e86f470e300695586fe7e8096b1f23f6f9863b52f45b391970e415

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.