Home / cuhk-aim-group / neurodiscovery · GitHub

eeg-skill SKILL.md skillA

eeg-skill 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/eeg-skill@git:20260506.86420c0

Pins git:20260506.86420c0 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/eeg-skill/SKILL.md
Versions recorded: 5
Latest version: git:20260506.86420c0, committed May 6, 2026
First version recorded: Mar 25, 2026
Size: 10,461 bytes
Repository stars: 93
License: MIT

Use this skill whenever the user wants to load, preprocess, epoch, filter, or extract features from EEG data (resting-state, task-based, BCI, clinical, motor imagery, emotion, epilepsy, fatigue, etc.). Triggers include: 'eeg', 'EEG preprocessing', 'EEG feature extraction', 'band power', 'downsample to frequency bands', 'motor imagery BCI', 'emotion EEG', 'epilepsy detection', or any request involving .set/.edf/.bdf/.fif/.bids files.

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

# EEG Skill (Modality Layer)

## Overview

`eeg-skill` is the NeuroClaw **modality-layer** interface skill responsible for all EEG data processing tasks.  
It strictly follows the NeuroClaw hierarchical design principles:

- This skill **only describes WHAT needs to be done** and **which tool skill to delegate to**.
- It contains **no full implementation code**.
- All concrete execution (MNE-Python calls, torchaudio, scipy, file I/O, etc.) is delegated to the dedicated base/tool skill `mne-eeg-tool`.
- Waveform-to-spectrogram conversion uses `torchaudio.transforms.MelSpectrogram`.
- Frequency-band energy extraction uses continuous wavelet transform (`scipy.signal.cwt` with `morlet2` wavelet).

**Core workflow (never bypassed):**

1. Identify the user-provided EEG files (BIDS, .set, .edf, .bdf, .fif, etc.).
2. Generate a **numbered execution plan** that clearly states WHAT needs to be done and which tool skill will handle each step.
3. Present the full plan, estimated runtime, resource requirements, and risks to the user and wait for explicit confirmation (“YES” / “execute” / “proceed”).
4. On confirmation, delegate every step to `mne-eeg-tool` via `claw-shell`.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add cuhk-aim-group/neurodiscovery/eeg-skill@sha256:b7565ce13fbcb8e1

The line at the top of this page pins the label git:20260506.86420c0, 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_taln54bq45kmvmfo.svg)](https://markdownregistry.com/a/art_taln54bq45kmvmfo)

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

Versions

The registry has recorded 5 versions of this file, between Mar 25, 2026 and May 6, 2026, about one every 11 days.

version	committed	commit	size	audit
git:20260506.86420c0 latest	2026-05-06	86420c0	10,461 B	A	view · diff
git:20260505.e9ddd22	2026-05-05	e9ddd22	10,470 B	A	view · diff
git:20260404.fa7f354	2026-04-04	fa7f354	10,388 B	A	view · diff
git:20260328.891ed93	2026-03-28	891ed93	7,777 B	A	view · diff
git:20260325.72d2cbf	2026-03-25	72d2cbf	7,918 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 (10461 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_taln54bq45kmvmfo
GET https://markdownregistry.com/api/v1/resolve?ref=cuhk-aim-group/neurodiscovery/eeg-skill
GET https://markdownregistry.com/api/v1/blob/b7565ce13fbcb8e1f312ca3d296b9936f4af0cb14843a01f65a171830dcca915

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.