metrics

Retrieve Railway service metrics for CPU, memory, network, and disk usage.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/ArthTech-AI/Marketplace-extensions --skill metrics-arthtech-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: metrics
Source: https://github.com/ArthTech-AI/Marketplace-extensions/tree/main/skills/railway/metrics
Command: npx skills add https://github.com/ArthTech-AI/Marketplace-extensions --skill metrics-arthtech-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq, curl, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill removes the guesswork from diagnosing Railway service performance by turning raw resource telemetry into clear CPU, memory, network, and disk insights.

Core Features & Use Cases

  • Resource Monitoring: Inspect usage and limits for CPU, memory, network, disk, and backup storage.
  • Performance Debugging: Compare deployments, instances, and regions to find bottlenecks or unhealthy services.
  • Operational Reporting: Track usage trends over time for a single service or an entire environment.
  • Use Case: When a service feels slow or expensive, use this Skill to pull recent metrics, identify the pressure point, and decide whether to scale, restart, or investigate logs.

Quick Start

Ask the metrics skill to show CPU and memory usage for your Railway service over the last hour.

Frequently Asked Questions about metrics

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

FAQPage Schema
How do I check Railway service CPU and memory usage for performance debugging?

To check Railway service CPU and memory usage, you retrieve resource metrics using Railway GraphQL metric queries with supported measurements and time windows. This requires environment and service identifiers to isolate usage pressure points.

Can I compare Railway deployments and regions to find unhealthy services?

Yes, you can compare Railway deployments, instances, and regions to find unhealthy services by grouping resource metrics with supported tags. This reveals bottlenecks across your environment by contrasting CPU, memory, network, and disk usage.

Do I need curl and jq to monitor Railway network and disk metrics?

Yes, you need curl and jq to monitor Railway network and disk metrics because the Skill relies on these dependencies to execute GraphQL queries and parse the returned JSON telemetry into clear resource usage insights.

What's the best way to track Railway service operational health over time?

The best way to track Railway service operational health over time is to query resource metrics across specified time windows for a single service or entire environment. This generates usage trends for CPU, memory, network, and backup storage.

Why does my Railway service feel slow or expensive during peak traffic?

Your Railway service feels slow or expensive when resource limits are exceeded. Pulling recent metrics for CPU, memory, network, and disk usage identifies the specific pressure point so you can decide to scale, restart, or investigate logs.