simpleitk-image-registration SKILL.md skillA

simpleitk-image-registration from jaechang-hits/sciagent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jaechang-hits/sciagent-skills/simpleitk-image-registration@git:20260528.a140b59

Pins git:20260528.a140b59 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jaechang-hits/sciagent-skills
Path
skills/medical-imaging/simpleitk-image-registration/SKILL.md
Versions recorded
1
Latest version
git:20260528.a140b59, committed May 28, 2026
Size
37,030 bytes
Repository stars
381
License
a license file GitHub does not identify

Register, segment, filter, resample 3D medical images (MRI, CT, microscopy) via SimpleITK Python; DICOM, NIfTI, multi-modal. Rigid/affine/deformable registration, threshold/region-growing segmentation, Gaussian/morph filtering, label stats, format conversion. Use to align volumes across timepoints/modalities, segment fluorescence, or convert DICOM→NIfTI.

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

# SimpleITK Image Registration and Analysis

## Overview

SimpleITK is a simplified, high-level interface to the Insight Toolkit (ITK) for medical image processing. It provides Python-native access to registration (rigid, affine, B-spline, Demons), segmentation (thresholding, region growing, watershed, level sets), filtering (smoothing, morphology, gradients), and resampling for 3D/4D images from MRI, CT, ultrasound, and fluorescence microscopy. SimpleITK images carry physical space metadata (spacing, origin, direction cosines) which is critical for correct anatomical interpretation and multi-modal alignment.

## When to Use

- Registering MRI volumes across timepoints (longitudinal studies) or to a standard atlas for normalization
- Segmenting cells or nuclei from fluorescence microscopy using Otsu thresholding with morphological cleanup
- Converting DICOM series (CT, MRI scanner output) to NIfTI format for downstream analysis with FSL or ANTs
- Applying pre-computed transforms to resample images to a common resolution or field of view
- Computing region statistics (volume, mean intensity, surface area) from binary label masks
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jaechang-hits/sciagent-skills/simpleitk-image-registration@sha256:6a06c6e0cc3ffe0e

The line at the top of this page pins the label git:20260528.a140b59, 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 badge

[![mdr](https://markdownregistry.com/badge/art_dlgjseusc4c6xenb.svg)](https://markdownregistry.com/a/art_dlgjseusc4c6xenb)

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

Versions

The registry has recorded 1 version of this file, committed on May 28, 2026.

versioncommittedcommitsizeaudit
git:20260528.a140b59 latest2026-05-28 a140b59 37,030 BA 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 (37030 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

jaechang-hits/sciagent-skills · 381 stars · license a license file GitHub does not identify · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_dlgjseusc4c6xenb
GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/simpleitk-image-registration
GET https://markdownregistry.com/api/v1/blob/6a06c6e0cc3ffe0e6d2f4c97b1f5b990d5e1ba152990d944c3cc51879dd3ee28

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.

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