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Skills/railwayapp/railway-skills/metrics
metrics logo

metrics

railwayapp/railway-skills
814 installs278 stars
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Installation

npx skills add https://github.com/railwayapp/railway-skills --skill metrics

Summary

This skill should be used when the user asks about resource usage, CPU, memory, network, disk, or service performance. Covers questions like "how much memory is my service using" or "is my service slow".

SKILL.md

Service Metrics

Query resource usage metrics for Railway services.

When to Use

  • User asks "how much memory is my service using?"
  • User asks about CPU usage, network traffic, disk usage
  • User wants to debug performance issues
  • User asks "is my service healthy?" (combine with service skill)

Prerequisites

Get environmentId and serviceId from linked project:

railway status --json

Extract:

  • environment.id → environmentId
  • service.id → serviceId (optional - omit to get all services)

MetricMeasurement Values

MeasurementDescription
CPU_USAGECPU usage (cores)
CPU_LIMITCPU limit (cores)
MEMORY_USAGE_GBMemory usage in GB
MEMORY_LIMIT_GBMemory limit in GB
NETWORK_RX_GBNetwork received in GB
NETWORK_TX_GBNetwork transmitted in GB
DISK_USAGE_GBDisk usage in GB
EPHEMERAL_DISK_USAGE_GBEphemeral disk usage in GB
BACKUP_USAGE_GBBackup usage in GB

MetricTag Values (for groupBy)

TagDescription
DEPLOYMENT_IDGroup by deployment
DEPLOYMENT_INSTANCE_IDGroup by instance
REGIONGroup by region
SERVICE_IDGroup by service

Query

query metrics(
  $environmentId: String!
  $serviceId: String
  $startDate: DateTime!
  $endDate: DateTime
  $sampleRateSeconds: Int
  $averagingWindowSeconds: Int
  $groupBy: [MetricTag!]
  $measurements: [MetricMeasurement!]!
) {
  metrics(
    environmentId: $environmentId
    serviceId: $serviceId
    startDate: $startDate
    endDate: $endDate
    sampleRateSeconds: $sampleRateSeconds
    averagingWindowSeconds: $averagingWindowSeconds
    groupBy: $groupBy
    measurements: $measurements
  ) {
    measurement
    tags {
      deploymentInstanceId
      deploymentId
      serviceId
      region
    }
    values {
      ts
      value
    }
  }
}

Example: Last Hour CPU and Memory

Use heredoc to avoid shell escaping issues:

bash <<'SCRIPT'
START_DATE=$(date -u -v-1H +"%Y-%m-%dT%H:%M:%SZ" 2>/dev/null || date -u -d "1 hour ago" +"%Y-%m-%dT%H:%M:%SZ")
ENV_ID="your-environment-id"
SERVICE_ID="your-service-id"

VARS=$(jq -n \
  --arg env "$ENV_ID" \
  --arg svc "$SERVICE_ID" \
  --arg start "$START_DATE" \
  '{environmentId: $env, serviceId: $svc, startDate: $start, measurements: ["CPU_USAGE", "MEMORY_USAGE_GB"]}')

scripts/railway-api.sh \
  'query metrics($environmentId: String!, $serviceId: String, $startDate: DateTime!, $measurements: [MetricMeasurement!]!) {
    metrics(environmentId: $environmentId, serviceId: $serviceId, startDate: $startDate, measurements: $measurements) {
      measurement
      tags { deploymentId region serviceId }
      values { ts value }
    }
  }' \
  "$VARS"
SCRIPT

Example: All Services in Environment

Omit serviceId and use groupBy to get metrics for all services:

bash <<'SCRIPT'
START_DATE=$(date -u -v-1H +"%Y-%m-%dT%H:%M:%SZ" 2>/dev/null || date -u -d "1 hour ago" +"%Y-%m-%dT%H:%M:%SZ")
ENV_ID="your-environment-id"

VARS=$(jq -n \
  --arg env "$ENV_ID" \
  --arg start "$START_DATE" \
  '{environmentId: $env, startDate: $start, measurements: ["CPU_USAGE", "MEMORY_USAGE_GB"], groupBy: ["SERVICE_ID"]}')

scripts/railway-api.sh \
  'query metrics($environmentId: String!, $startDate: DateTime!, $measurements: [MetricMeasurement!]!, $groupBy: [MetricTag!]) {
    metrics(environmentId: $environmentId, startDate: $startDate, measurements: $measurements, groupBy: $groupBy) {
      measurement
      tags { serviceId region }
      values { ts value }
    }
  }' \
  "$VARS"
SCRIPT

Time Parameters

ParameterDescription
startDateRequired. ISO 8601 format (e.g., 2024-01-01T00:00:00Z)
endDateOptional. Defaults to now
sampleRateSecondsSample interval (e.g., 60 for 1-minute samples)
averagingWindowSecondsAveraging window for smoothing

Tip: For last hour, calculate startDate as now - 1 hour in ISO format.

Output Interpretation

{
  "data": {
    "metrics": [
      {
        "measurement": "CPU_USAGE",
        "tags": { "deploymentId": "...", "serviceId": "...", "region": "us-west1" },
        "values": [
          { "ts": "2024-01-01T00:00:00Z", "value": 0.25 },
          { "ts": "2024-01-01T00:01:00Z", "value": 0.30 }
        ]
      }
    ]
  }
}
  • ts - timestamp in ISO format
  • value - metric value (cores for CPU, GB for memory/disk/network)

Composability

  • Get IDs: Use status skill or railway status --json
  • Check service health: Use service skill for deployment status
  • View logs: Use deployment skill if metrics show issues
  • Scale service: Use environment skill to adjust resources

Error Handling

Empty/Null Metrics

Services without active deployments return empty metrics arrays. When processing with jq, handle nulls:

# Safe iteration - skip nulls
jq -r '.data.metrics[]? | select(.values != null and (.values | length) > 0) | ...'

# Check if metrics exist before processing
jq -e '.data.metrics | length > 0' response.json && echo "has metrics"

No Metrics Data

Service may be new or have no traffic. Check:

  • Service has active deployment (stopped services have no metrics)
  • Time range includes deployment period

Invalid Service/Environment ID

Verify IDs with railway status --json.

Permission Denied

User needs access to the project to query metrics.

Score

0–100
63/ 100

Grade

C

Popularity15/30

814 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Metrics skill score badge previewScore badge

Markdown

[![Metrics skill](https://www.claudemarket.ai/skills/railwayapp/railway-skills/metrics/badges/score.svg)](https://www.claudemarket.ai/skills/railwayapp/railway-skills/metrics)

HTML

<a href="https://www.claudemarket.ai/skills/railwayapp/railway-skills/metrics"><img src="https://www.claudemarket.ai/skills/railwayapp/railway-skills/metrics/badges/score.svg" alt="Metrics skill"/></a>

Metrics FAQ

How do I install the Metrics skill?

Run “npx skills add https://github.com/railwayapp/railway-skills --skill metrics” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Metrics skill do?

This skill should be used when the user asks about resource usage, CPU, memory, network, disk, or service performance. Covers questions like "how much memory is my service using" or "is my service slow". The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Metrics skill free?

Yes. Metrics is a free, open-source skill published from railwayapp/railway-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Metrics work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Metrics works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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