connectome-discovery skillA
connectome-discovery is agent-read markdown (skill) from cuhk-aim-group/neurodiscovery: Use this workflow skill whenever the user wants to turn connectome-model outputs into network discoveries: compare aligned brain maps, compute permutation significance, rank neuromodulation targets, summarize atlas-level effects, or combine CPM with spatial interpretation. Triggers include 'connectome discovery', 'network map similarity', 'permutation P value', 'target ranking', 'neuromodulation target', and 'spatial connectome interpretation'..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Connectome Discovery Workflow ## Overview `connectome-discovery` is a scientific interpretation workflow, not a second CPM implementation. It consumes fitted-model outputs or aligned network maps and produces map similarities, empirical significance, and candidate target rankings. | Stage | Canonical owner | |---|---| | Connectome prediction | `cpm`, BrainGNN, BNT, or another model skill | | Atlas/space validation | `fmri-skill`, `nibabel-skill` | | Map similarity and permutation | `models/connectome_discovery/mapping.py` | | Surface/network rendering | `brain-visualization` | --- ## Installation ```bash pip install numpy scipy pandas ``` --- ## Workflows ### 1. Generate model evidence Run `cpm` or another connectome model and freeze its held-out predictions, selected edges, atlas, and node ordering. ### 2. Align maps Reference and candidate maps must use the same atlas, node order, hemisphere convention, and value orientation. Resampling or atlas mapping must be recorded. ### 3. Score and rank targets Use `models/connectome_discovery/mapping.py` for: - `cosine_similarity_map` - `permutation_pvalue` - `rank_targets` …
Read the whole file at its exact version.
How to install
mdr add cuhk-aim-group/neurodiscovery/connectome-discovery@git:20260825.cbd02ffmdr add cuhk-aim-group/neurodiscovery/connectome-discovery@sha256:fc80734b97911f44Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_abousbrdjgbdfol3)
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Versions
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 (2860 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 · 91 stars · license MIT · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_abousbrdjgbdfol3 GET https://markdownregistry.com/api/v1/resolve?ref=cuhk-aim-group/neurodiscovery/connectome-discovery GET https://markdownregistry.com/api/v1/blob/fc80734b97911f44e1e0e79cdab6c915b075307e6ebd42c0fda449536ddf75cc
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