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subject-subtyping SKILL.md skillA

subject-subtyping 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/subject-subtyping@git:20260914.cfc1dd5

Pins git:20260914.cfc1dd5 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/subject-subtyping/SKILL.md
Versions recorded: 2
Latest version: git:20260914.cfc1dd5, committed Sep 14, 2026
First version recorded: Aug 25, 2026
Size: 6,901 bytes
Repository stars: 93
License: MIT

Use this skill whenever the user wants unsupervised disease subtyping, patient stratification, latent phenotype discovery, cluster stability analysis, or low-dimensional embeddings from neuroimaging features. It supports K-means, Gaussian mixture models, spectral clustering, NMF, consensus clustering, PCA embeddings, and autoencoder embeddings. Triggers include 'subtype', 'patient stratification', 'clustering', 'latent phenotype', 'consensus clustering', 'GMM', 'NMF', 'PCA embedding', and…

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

# Subject Subtyping Skill

## Overview

`subject-subtyping` discovers unsupervised subject groups from tabular imaging or
multimodal features. It exports subtype assignments, latent embeddings,
silhouette diagnostics, and a fitted estimator checkpoint. The reporting route
also exports patient-level QA, feature profiles, group sizes and figures.

Research use only: clusters are not clinical diagnoses. The legacy training
checkpoint does not bundle the training imputer/scaler and cannot by itself
assign new patients from raw features. Preserve the fitted preprocessing and
feature order in a separately validated deployment pipeline before future-patient
inference; spectral/consensus training does not define an out-of-sample rule.

**Supported models**

| Model | Method | Typical use |
|---|---|---|
| `kmeans` | Euclidean partitioning | compact baseline |
| `gmm` | Gaussian mixture | soft distributional subtypes |
| `spectral` | graph spectral clustering | non-convex structure |
| `nmf` | non-negative embedding + K-means | parts-based phenotypes |
| `consensus` | bootstrap co-clustering | stability-focused analysis |
| `pca` | PCA embedding + K-means | linear latent subtypes |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add cuhk-aim-group/neurodiscovery/subject-subtyping@sha256:4ff8f6b1dc752bc3

The line at the top of this page pins the label git:20260914.cfc1dd5, 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_gyk2ti7lie3tdajl.svg)](https://markdownregistry.com/a/art_gyk2ti7lie3tdajl)

3 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 Sep 14, 2026, about one every 20 days.

version	committed	commit	size	audit
git:20260914.cfc1dd5 latest	2026-09-14	cfc1dd5	6,901 B	A	view · diff
git:20260825.cbd02ff	2026-08-25	cbd02ff	4,264 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 (6901 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_gyk2ti7lie3tdajl
GET https://markdownregistry.com/api/v1/resolve?ref=cuhk-aim-group/neurodiscovery/subject-subtyping
GET https://markdownregistry.com/api/v1/blob/4ff8f6b1dc752bc3f4195b8cb408a5724347d1f9f03708b2765a3602723bcbb0

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.