spacenet SKILL.md skillA
spacenet from cuhk-aim-group/neurodiscovery is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add cuhk-aim-group/neurodiscovery/spacenet@git:20260505.e9ddd22Pins 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/spacenet/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260505.e9ddd22, committed May 5, 2026
- Size
- 4,392 bytes
- Repository stars
- 93
- License
- MIT
Use this model doc whenever the user wants to perform disease classification with SpaceNet. This is a non-deep-learning supervised route focused on voxel-wise neuroimaging-based case-control prediction with sparse and interpretable weight maps.
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
# SpaceNet Model Doc ## Overview SpaceNet is a classical non-deep-learning method for neuroimaging-based disease classification. - Model family: non-deep-learning supervised classification method - Typical objectives: - classify patient vs control groups from voxel-wise neuroimaging maps - build sparse discriminative models in aligned image space - export predictive scores, evaluation metrics, and interpretable weight maps - Primary input: aligned subject images, labels, optional covariates, optional mask - Primary output: class predictions, decision scores, cross-validation metrics, coefficient maps In NeuroClaw, this document is model-level guidance for SpaceNet-based disease classification workflows rather than deep learning phenotype prediction. Upstream preparation should usually be delegated to: - `fmri-skill` for fMRI preprocessing and voxel-wise feature preparation - `smri-skill` for structural feature extraction when disease classification uses sMRI - `nilearn-tool` for concrete SpaceNet fitting and coefficient map export **Research use only.** --- ## Quick Start ### 1) Prepare disease classification inputs Expected inputs: …
Read the whole file at its exact version.
How to install
mdr add cuhk-aim-group/neurodiscovery/spacenet@sha256:9cc55e8ef281799cThe 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.
[](https://markdownregistry.com/a/art_c3ohabxirtahcae2)
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.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4392 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
cuhk-aim-group/neurodiscovery · 93 stars · license MIT · pushed 2026-10-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_c3ohabxirtahcae2 GET https://markdownregistry.com/api/v1/resolve?ref=cuhk-aim-group/neurodiscovery/spacenet GET https://markdownregistry.com/api/v1/blob/9cc55e8ef281799c1a030d85e1d999025f4b55d2a2280f5deac21d972b31881d
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.