render-monitor

Monitor Render services in real-time using MCP tools or the Render CLI.

Updated May 28, 2026
One-click install
npx skills add https://github.com/render-oss/render-codex-plugin --skill render-monitor-render-oss
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: render-monitor
Source: https://github.com/render-oss/render-codex-plugin/tree/main/skills/render-monitor
Command: npx skills add https://github.com/render-oss/render-codex-plugin --skill render-monitor-render-oss

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Monitor Render services in real-time to confirm health and performance across deployments and resources.

Core Features & Use Cases

  • Real-time health checks, metrics, and log visibility for running Render services.
  • Correlate deploy events with performance data to quickly diagnose issues.
  • Use cases include verifying service health after deploys, tracking latency trends, and detecting resource bottlenecks.

Quick Start

Open the Render Monitor skill and select a target service to start real-time health monitoring.

Frequently Asked Questions about render-monitor

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

FAQPage Schema
How do I monitor Render service health after a deployment?

To monitor Render service health after a deployment, open the Render Monitor skill and select your target service to start real-time health checks. This surfaces deploy events and health metrics, allowing you to verify performance stability immediately following changes.

How can I check Render logs and metrics for multiple services?

You can check Render logs and metrics across multiple services by using the skill's integrated MCP tools like list_services, list_logs, and get_metrics. This surfaces real-time resource usage data and log visibility, enabling comprehensive performance analysis across your Render infrastructure.

Can I use the Render CLI to track real-time metrics and resource bottlenecks?

Yes, you can use the Render CLI to track real-time metrics and detect resource bottlenecks. The skill utilizes either MCP tools or the Render CLI to collect health data, allowing you to surface latency trends and inspect resource usage for running services.

Does Render monitoring support correlating deploy events with performance data?

Render monitoring supports correlating deploy events with performance data to help you quickly diagnose issues. By using list_deploys alongside metrics tools, you can track latency trends and pinpoint exactly when performance degraded following a specific deployment update.

What is the best way to diagnose latency trends on Render services?

The best way to diagnose latency trends on Render services is by using real-time monitoring to collect and surface metrics. The skill uses MCP tools like get_metrics to track performance data over time, helping you detect resource bottlenecks and verify ongoing service health.