Which secret management systems are supported?

The skill provides patterns for local environment variables in development and Google Cloud Secret Manager for staging and production environments.

Can I customize the deployment workflow?

Yes, the included GitHub Actions YAML provides a template for gradual traffic shifts (10%, 50%, 100%) that can be customized to match your team's specific requirements.

How does this skill handle PHI data security?

It implements strict environment isolation, directing development and staging traffic to sandboxed endpoints with synthetic data while reserving production endpoints for real clinical usage.

Is the configuration type-safe?

Absolutely. All configuration loaders and environment-aware client factories are implemented in TypeScript to ensure type safety and prevent runtime errors during promotion.

Does it include monitoring capabilities?

Yes, the skill includes a health check utility that monitors OpenEvidence API connectivity, response latency, and cache status across all environments.

OpenEvidence Multi-Environment Setup

Name: OpenEvidence Multi-Environment Setup
Author: jeremylongshore

byjeremylongshore

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1,243

Deployment & DevOps

Configures and manages OpenEvidence clinical AI integrations across development, staging, and production environments.

About

This skill provides a standardized framework for orchestrating OpenEvidence integrations throughout the software development lifecycle. It facilitates the creation of environment-specific configurations, secure secret management using cloud-native providers like GCP Secret Manager, and automated CI/CD workflows for safe production promotion. By establishing clear isolation between sandbox and live clinical endpoints, it enables developers to build and test clinical AI features safely using synthetic data before promoting them to production environments handling real PHI.

Key Features

Automated GitHub Actions workflow for gradual traffic-shifting and environment promotion
1,243 GitHub stars
Multi-environment TypeScript configuration templates for Dev, Staging, and Production
Environment-aware client factory with singleton implementation for resource efficiency
Secure secret management integration for local .env and GCP Secret Manager
Comprehensive health check utility for monitoring API connectivity and latency

Use Cases

Initializing a new OpenEvidence-powered project with best-practice environment isolation
Migrating sensitive API credentials from code to secure environment-specific secret managers
Implementing a gradual deployment strategy for clinical AI services with smoke testing

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills openevidence-multi-env-setup

For use in Claude.ai and ChatGPT

Download Skill

GitHub