gaia-deploy-post

Execute health checks, smoke tests, and metric validation against SLOs.

2|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/gaiastudio-ai/gaia-framework --skill gaia-deploy-post
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gaia-deploy-post
Source: https://github.com/gaiastudio-ai/gaia-framework/tree/main/plugins/gaia/skills/gaia-deploy-post
Command: npx skills add https://github.com/gaiastudio-ai/gaia-framework --skill gaia-deploy-post

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates post-deployment health checks and metric validation, providing a structured pass/fail report to ensure deployment integrity.

Core Features & Use Cases

  • Post-Deployment Verification: Validates service health, smoke tests, and production metrics against Service Level Objectives (SLOs).
  • Structured Report: Generates a pass/fail report covering all verification dimensions.
  • Use Case: After a deployment, use this Skill to automatically check service health, run smoke tests, and validate production metrics to ensure the deployment meets the required standards.

Quick Start

Use the gaia-deploy-post skill to verify the deployment at 'https://example.com'.

Frequently Asked Questions about gaia-deploy-post

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

FAQPage Schema
How do I automate post-deployment health checks and metric validation?

Automate post-deployment health checks by executing deterministic bash scripts that verify service health, run smoke tests, and validate production metrics against specified SLOs. This process generates a structured pass/fail report confirming deployment integrity.

What is post-deployment verification and how does it ensure SLO compliance?

Post-deployment verification validates deployment integrity by running health checks, smoke tests, and metric validation against specified Service Level Objectives. It ensures the newly deployed service meets required performance and health standards through automated checks.

How do I generate a structured pass/fail report after a software deployment?

Generate a structured pass/fail report after a deployment by running automated health checks, smoke tests, and metric validation. The verification process evaluates all dimensions of service health and produces a deterministic report indicating pass or fail status.

Do I need bash scripts to run post-deployment smoke tests and health checks?

Yes, you need bash scripts to perform these post-deployment checks. The verification process requires deterministic bash scripts to execute health checks, run smoke tests, validate metrics, and generate the final pass/fail report.

What is the best way to validate production metrics against SLOs automatically?

The best way to validate production metrics against SLOs automatically is using a post-deployment verification process. It executes deterministic checks comparing live production metrics directly to your specified Service Level Objectives and reports discrepancies.

When should I run smoke tests and metric validation in the deployment process?

Run smoke tests and metric validation immediately after a deployment completes. This post-deployment phase verifies service health and performance against SLOs, ensuring the new release does not degrade production integrity before routing traffic.