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detrending SKILL.md skillA

detrending 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/detrending@git:20260505.e9ddd22

Pins 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/detrending/SKILL.md
Versions recorded: 1
Latest version: git:20260505.e9ddd22, committed May 5, 2026
Size: 3,997 bytes
Repository stars: 93
License: MIT

Use this model doc whenever the user wants to perform neuroimaging signal denoising with classical detrending methods. This is a non-deep-learning preprocessing route focused on removing low-frequency drift and linear trends from time series before downstream analysis.

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

# Detrending Model Doc

## Overview
Detrending is a classical non-deep-learning method for neuroimaging signal denoising.

- Model family: non-deep-learning preprocessing and denoising method
- Typical objectives:
  - remove low-frequency drift and temporal trends
  - stabilize time series before connectivity, decoding, or statistical analysis
  - prepare cleaner voxel-wise or ROI-wise time series for downstream workflows
- Primary input: preprocessed fMRI time series, optional confounds, optional mask, TR
- Primary output: cleaned BOLD image, cleaned ROI time series, optional QC summaries

In NeuroClaw, this document is model-level guidance for detrending workflows rather than predictive modeling.

Upstream preparation should usually be delegated to:
- `fmri-skill` for modality-level denoising planning and validated preprocessing sequences
- `nilearn-tool` for concrete detrending and cleaned time series export

**Research use only.**

---

## Quick Start

### 1) Prepare denoising inputs
Expected inputs:
- preprocessed BOLD image
- repetition time (`TR`)
- optional confounds TSV
- optional brain mask

If images are not preprocessed yet, delegate to `fmri-skill` first.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add cuhk-aim-group/neurodiscovery/detrending@sha256:0d4f1632489c61ae

The 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.

Badge

[![mdr](https://markdownregistry.com/badge/art_mjff7yltgbma5yrw.svg)](https://markdownregistry.com/a/art_mjff7yltgbma5yrw)

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.

version	committed	commit	size	audit
git:20260505.e9ddd22 latest	2026-05-05	e9ddd22	3,997 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 (3997 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_mjff7yltgbma5yrw
GET https://markdownregistry.com/api/v1/resolve?ref=cuhk-aim-group/neurodiscovery/detrending
GET https://markdownregistry.com/api/v1/blob/0d4f1632489c61ae6cb6270cd21cd87be886eef5b650a2e41bd1b3c2c936c178

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.