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furqan90
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stack-validator

Automate post-clone smoke testing for deployed Docker Compose stacks.

Updated May 21, 2026
Search Tags:#platform-engineering#docker-compose#health-check#smoke-testing#deployment-validation#stack-validation
One-click install
npx skills add https://github.com/furqan90/ai_mediated_platform_engineering --skill stack-validator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: stack-validator
Source: https://github.com/furqan90/ai_mediated_platform_engineering/tree/main/skills/stack-validator
Command: npx skills add https://github.com/furqan90/ai_mediated_platform_engineering --skill stack-validator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually verifying that a cloned deployment stack is fully functional after setup is tedious, inconsistent, and prone to human error, especially when working with multi-service Docker Compose environments that require sequential health checks and end-to-end route validation.

Core Features & Use Cases

  • Automated Stack Boot: Automatically starts the Docker Compose stack for the cloned project without manual intervention.
  • Health & Route Validation: Polls service health endpoints and hits public routes to confirm all components are functioning correctly.
  • Clear Test Summary: Prints an easy-to-read green/red summary of all smoke test results for quick status assessment.
  • Use Case: Platform engineers setting up a new project's on-prem deployment stack can use this skill to instantly verify the stack is ready for development immediately after cloning, eliminating hours of manual testing.

Quick Start

Use the stack-validator skill to run a full smoke test suite on the cloned orders-platform stack and receive a clear pass/fail summary of all validation checks.

Frequently Asked Questions about stack-validator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate smoke testing for a Docker Compose stack after cloning?▼

You can automate smoke testing for a Docker Compose stack by orchestrating the service boot process, polling health endpoints, and validating public routes to generate a clear pass/fail summary.

What is the best way to validate the health of an on-prem deployment stack?▼

Validating an on-prem deployment stack is best done by automating post-clone health endpoint polling and public route validation, which replaces tedious manual verification workflows for multi-service environments.

Can I automatically verify public routes and service health for multi-service Docker environments?▼

Yes, you can verify public routes and service health for multi-service Docker environments by automatically polling endpoints and hitting routes to confirm all components function correctly after boot orchestration.

How do I get a clear pass/fail summary for deployment validation checks?▼

To get a clear pass/fail summary for deployment validation checks, run an automated end-to-end smoke test suite that prints an easy-to-read green and red status report of all validated services.

Does this stack validation approach work for multi-service environments requiring sequential health checks?▼

Yes, this stack validation approach works for multi-service environments by handling service boot orchestration and sequentially polling health endpoints to ensure all components are ready and functioning.

Why does manual verification of cloned deployment stacks fail?▼

Manual verification of cloned deployment stacks fails because it is tedious, inconsistent, and prone to human error, especially when sequential health checks and end-to-end route validation are required for multi-service environments.

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