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sunshine-del-ux

Medical Imaging Suite

by Sunshine-del-ux · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
329
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Install in OpenClaw
/install medical-imaging-suite
Description
Complete medical imaging solution with OHIF viewer, DICOMweb integration, segmentation, and MONAI workflows, deployable via Docker.
README (SKILL.md)

Medical Imaging Suite

Complete medical imaging solution with OHIF viewer and DICOM segmentation.

Features

  • OHIF viewer deployment
  • DICOMweb integration (tbidea, orthanc, DCM4CHEE)
  • TotalSegmentator integration
  • MONAI workflow support
  • Docker deployment

Usage

# Deploy full suite
./deploy.sh

# Deploy viewer only
./deploy.sh viewer

# Deploy segmentation API
./deploy.sh segmentation

Requirements

  • Docker
  • 4GB RAM minimum

Author

Sunshine-del-ux

Usage Guidance
This package appears to be a placeholder/launcher rather than a complete deployment tool. Before installing or running it: 1) don't run it against production or sensitive patient data — test in an isolated environment; 2) verify the existence and trustworthiness of the referenced skills (ohif-deploy, dicom-segmentation-api) — the real deployment appears delegated to them; 3) confirm Docker-related artifacts (Dockerfiles, docker-compose, container images) and inspect those files for unwanted network endpoints or secret usage; 4) check author provenance (no homepage or repo provided) and prefer packages with clear source repositories and documented release artifacts; 5) if you need a production-ready medical imaging stack, require full manifests and security/privacy compliance documentation before use.
Capability Analysis
Type: OpenClaw Skill Name: medical-imaging-suite Version: 1.0.0 The Medical Imaging Suite skill bundle is a benign placeholder. The deploy.sh script only prints informational messages to the console and does not perform any functional operations, network requests, or file system modifications. No indicators of malicious intent, data exfiltration, or prompt injection were found.
Capability Assessment
Purpose & Capability
The name/description promise a complete OHIF + DICOMweb + MONAI workflow deployable via Docker, but the distributed files contain only a short SKILL.md and a deploy.sh that prints messages and refers to other skills (ohif-deploy, dicom-segmentation-api) rather than implementing deployment. The SKILL.md says Docker is required, but the registry metadata lists no required binaries—this mismatch suggests the package is a placeholder or incomplete.
Instruction Scope
Runtime instructions are minimal and limited: they tell the user to run ./deploy.sh (which only echoes messages). There are no commands that read files, access environment variables, or contact external endpoints. The scope is narrow but not delivering the advertised functionality.
Install Mechanism
There is no install spec and no downloads or extracts. Because this is instruction-only with a tiny script that does not write to disk beyond itself, the install mechanism poses minimal risk.
Credentials
The skill declares no required environment variables, credentials, or config paths, and the files do not reference secrets. This is proportionate to the actual (placeholder) content, though it contradicts the SKILL.md requirement of Docker being present.
Persistence & Privilege
The skill does not request persistent always-on inclusion and does not modify other skills or system settings. Default autonomous invocation is allowed (platform default) but not relevant given the skill's minimal behavior.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install medical-imaging-suite
  3. After installation, invoke the skill by name or use /medical-imaging-suite
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Medical Imaging Suite 1.0.0 - Initial release of a complete medical imaging solution. - Features OHIF viewer deployment and DICOMweb integration (tbidea, orthanc, DCM4CHEE). - Integrates TotalSegmentator and supports MONAI workflows. - Includes simple Docker-based deployment options. - Minimum requirement: Docker and 4GB RAM.
Metadata
Slug medical-imaging-suite
Version 1.0.0
License
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Medical Imaging Suite?

Complete medical imaging solution with OHIF viewer, DICOMweb integration, segmentation, and MONAI workflows, deployable via Docker. It is an AI Agent Skill for Claude Code / OpenClaw, with 329 downloads so far.

How do I install Medical Imaging Suite?

Run "/install medical-imaging-suite" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Medical Imaging Suite free?

Yes, Medical Imaging Suite is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Medical Imaging Suite support?

Medical Imaging Suite is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Medical Imaging Suite?

It is built and maintained by Sunshine-del-ux (@sunshine-del-ux); the current version is v1.0.0.

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