post-deploy-monitoring

Monitor production environments for HTTP status, response times, and error logs.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/evanfang0054/agent-harness --skill post-deploy-monitoring
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: post-deploy-monitoring
Source: https://github.com/evanfang0054/agent-harness/tree/main/skills/post-deploy-monitoring
Command: npx skills add https://github.com/evanfang0054/agent-harness --skill post-deploy-monitoring

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill ensures production health is verified after deploying code to production, by monitoring for console errors, performance regressions, and page failures.

Core Features & Use Cases

  • Post-Deployment Monitoring: Monitors for console errors, performance regressions, and page failures.
  • Automated Checks: Executes periodic checks for HTTP status, response time, and error logs.
  • Health Reporting: Provides a report on the status of monitored endpoints and suggests next actions based on findings.
  • Use Case: After deploying code, you can use this Skill to monitor the production environment and ensure it's functioning correctly.

Quick Start

Run the post-deploy-monitoring skill to check the health of the production environment.

Frequently Asked Questions about post-deploy-monitoring

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

FAQPage Schema
How do I monitor production health for errors and performance regressions after a deployment?

To monitor production health post-deployment, this Skill executes automated periodic checks for HTTP status, response times, and error logs to detect console errors and performance regressions. It provides a health report on monitored endpoints and suggests next actions.

What is the best way to check production endpoints for HTTP status and response time regressions?

The best way to check production endpoints is by running automated periodic checks that monitor HTTP status codes and response times. This approach verifies page functionality and flags performance regressions or page failures immediately after deployment.

Does post-deployment monitoring work with any deployment scenario or do I need specific configurations?

Post-deployment monitoring applies to any deployment scenario where post-deployment verification is required. It requires no specific dependencies or configurations, relying instead on periodic checks and the ability to interpret monitoring results for potential issues.

How do I interpret error logs and HTTP status results during post-deployment verification?

Interpreting error logs and HTTP status results during post-deployment verification involves analyzing the automated health report generated by the checks. The report details the status of monitored endpoints and suggests next actions based on the findings.

Why are my production checks not detecting page failures and console errors after deploying code?

Production checks might not detect page failures if periodic checks are not properly configured or if the monitoring lacks the ability to interpret results for potential issues. Ensure the checks actively monitor HTTP status, response times, and error logs.

Can I use automated checks to verify production health and suggest next actions based on findings?

Yes, you can use automated checks to verify production health by monitoring for console errors, performance regressions, and page failures. The resulting health report provides the status of monitored endpoints and suggests next actions based on findings.