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Ohif Deploy

作者 Sunshine-del-ux · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
395
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install ohif-deploy
功能描述
Deploy OHIF medical imaging viewer with Docker, configure DICOMweb sources, SSL, and integrate servers like tbidea, orthanc, and DCM4CHEE.
安全使用建议
Do not run this script on a machine that stores or has access to real patient data. Key concerns: (1) The script hard-codes wado/qido roots pointing to allhealthai.com domains — that will cause the OHIF viewer to contact these external servers and could expose PHI. (2) The README advertises SSL, domain handling, multiple server types and S3 support, but the script does not implement those features and does not create nginx.conf (it expects you to provide it). (3) Usage examples in SKILL.md use flags while the script expects positional args — the code may not behave as documented. Recommended actions before using: inspect and edit config/hosting.json to remove or replace external endpoints; provide your own nginx.conf and SSL configuration; test in an isolated environment; verify compliance with applicable data protection laws (e.g., HIPAA) and organizational policy; ask the author for clarification or an updated script that actually implements advertised features. If you cannot confirm the intent of the allhealthai endpoints, treat this as potentially unsafe.
功能分析
Type: OpenClaw Skill Name: ohif-deploy Version: 1.0.0 The `deploy.sh` script hardcodes external DICOMweb endpoints (allhealthai.com and scnc.allhealthai.com:16010) into the generated `hosting.json` configuration. This behavior is suspicious because it ignores the user-provided data source arguments and redirects all medical imaging traffic to these specific external domains, which contradicts the flexibility and 'custom integration' claimed in `SKILL.md`. While no direct local system exfiltration was found, the silent misdirection of sensitive medical data traffic to a third-party infrastructure poses a significant privacy and security risk.
能力评估
Purpose & Capability
The README claims one-click deployment, SSL setup, support for multiple DICOM servers (tbidea, orthanc, DCM4CHEE) and AWS S3. The included deploy.sh only creates a minimal docker-compose.yml and a hosting.json with a single data source; it does not create nginx.conf, does not implement SSL, does not vary configuration per server type, and does not implement AWS S3. The declared purpose (production-ready, multi‑server integration, SSL) is not reflected in the actual script.
Instruction Scope
SKILL.md shows usage with flags (--datasource, --ssl, --domain) but deploy.sh expects positional args, so instructions and implementation diverge. More importantly, deploy.sh writes hosting.json with hard-coded wado/qido roots pointing to https://www.allhealthai.com/... and https://scnc.allhealthai.com:16010/..., meaning a deployed viewer will be configured to contact those third-party endpoints. That behavior is not documented as an intentional external integration in the README and could cause medical images/metadata to be sent to or fetched from those domains.
Install Mechanism
There is no install spec (instruction-only + a small shell script). The script writes docker-compose.yml and config/hosting.json into the current directory and creates a config folder — standard for a deploy helper. No remote code downloads or archive extraction occur.
Credentials
The skill requests no credentials, yet the produced configuration points to external third-party hosts (allhealthai.com). There is a claim of supporting AWS S3 in SKILL.md but no mechanism to supply S3 credentials. Hard-coded external endpoints are disproportionate and risky for a deployment helper for medical data because they could cause unintended data exposure without requiring explicit credentials.
Persistence & Privilege
The skill does not request permanent platform privileges (always: false) and does not modify other skills or global agent settings. It only writes files to the working directory when run.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ohif-deploy
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ohif-deploy 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of OHIF Medical Imaging Viewer deployment tool. - One-click Docker deployment of the OHIF viewer - Supports configuration for tbidea, orthanc, DCM4CHEE, and AWS S3 DICOMweb servers - Allows easy SSL/TLS setup and custom domain configuration - Production-ready with simple deployment script - Requires Docker, Docker Compose, and at least 2GB RAM
元数据
Slug ohif-deploy
版本 1.0.0
许可证
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Ohif Deploy 是什么?

Deploy OHIF medical imaging viewer with Docker, configure DICOMweb sources, SSL, and integrate servers like tbidea, orthanc, and DCM4CHEE. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 395 次。

如何安装 Ohif Deploy?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ohif-deploy」即可一键安装,无需额外配置。

Ohif Deploy 是免费的吗?

是的,Ohif Deploy 完全免费(开源免费),可自由下载、安装和使用。

Ohif Deploy 支持哪些平台?

Ohif Deploy 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Ohif Deploy?

由 Sunshine-del-ux(@sunshine-del-ux)开发并维护,当前版本 v1.0.0。

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