Agent skill

Railway Metrics

by davila7 in davila7/claude-code-templates

Query resource usage metrics for Railway services. An agent skill from davila7/claude-code-templates.

MITAuto-check passedDevOps & Cloud

Install Railway Metrics

skills CLI
$ npx skills add davila7/claude-code-templates --skill railway-metrics -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install davila7/claude-code-templates railway-metrics --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-tool/components/skills/railway/metrics .claude/skills/railway-metrics && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
railway-metrics
GitHub stars
33k
Token cost
~1.5k tokens
SKILL.md length
324 words
Files
1
Skills in repo
479
Repo updated
First seen
Licence
MIT

At a glance

Query resource usage metrics for Railway services. An agent skill from davila7/claude-code-templates.

  • User asks about resource usage
  • SKILL.md covers When to Use, Prerequisites, MetricMeasurement Values and MetricTag Values (for groupBy), plus 7 more sections
  • Calls jq, railway and bash
  • Service performance like how much memory is my service using

What it does

Railway Metrics is an agent skill from davila7/claude-code-templates. Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow".

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud. The repository describes itself as: CLI tool for configuring and monitoring Claude Code. The licence is MIT.

When your agent uses it

  • User asks about resource usage
  • Service performance like how much memory is my service using
  • Is my service slow

Example prompts

  • “how much memory is my service using”
  • “is my service slow”
  • “/railway-metrics”

Requirements

  • Pre-approved tools (allowed-tools): Bash(railway:*)

What it can do on your machine

Read from SKILL.md and the folder at commit c0ca7da. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash(railway:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • jq
    • railway
    • bash

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Railway Metrics loads about 1.5k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 324 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from davila7/claude-code-templates at commit c0ca7da, republished under its MIT licence (© davila7). 324 words, ~1,505 tokens.

Download SKILL.mdSave it as .claude/skills/railway-metrics/SKILL.md (or your agent's skills folder).
name
railway-metrics
description
Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow".
allowed-tools
Bash(railway:*)
version
1.0.0
author
Railway
license
MIT
tags
Railway, Metrics, Monitoring, Performance, CPU, Memory, Resources, Analytics
dependencies
railway-cli

Railway 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 railway-service skill)

Prerequisites

Get environmentId and serviceId from linked project:

bash
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

graphql
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
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"]}')

${CLAUDE_PLUGIN_ROOT}/skills/lib/railway-api.sh \
  'query metrics($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
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"]}')

${CLAUDE_PLUGIN_ROOT}/skills/lib/railway-api.sh \
  'query metrics($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

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

Error Handling

Empty/Null Metrics

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

bash
# 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.

© davila7, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in cli-tool/components/skills/railway/metrics of davila7/claude-code-templates.

Open the folder on GitHubat commit c0ca7da

Compare with similar skills

Railway Metrics next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Railway Metrics compared with similar skills
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Railway Metrics this skilldavila7/claude-code-templates33k—~1.5kAutomated safety check: PassMIT
Monitor CInrwl/nx29k6 repos~4.7kAutomated safety check: PassMIT
Terraform and OpenTofu Guideagentscope-ai/QwenPaw36k6 repos~4.2kAutomated safety check: PassApache-2.0
Vercel Optimize Auditvercel-labs/agent-skills32k8 repos~4.3kAutomated safety check: PassNone
Analyze GitHub Action Logswithastro/astro63k1 repos~1.3kAutomated safety check: PassCustom licence
Openclaw Live Updateropenclaw/openclaw392k—~3.7kAutomated safety check: PassMIT

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Categories

Questions about Railway Metrics

What does Railway Metrics do?

Query resource usage metrics for Railway services. An agent skill from davila7/claude-code-templates. Railway Metrics is an agent skill from davila7/claude-code-templates. Query resource usage metrics for Railway services.

When should I use Railway Metrics?

Railway Metrics fits situations like: user asks about resource usage; service performance like how much memory is my service using; is my service slow.

How do I install Railway Metrics in Claude Code?

Run `npx skills add davila7/claude-code-templates --skill railway-metrics -a claude-code`. Or copy the skill folder (cli-tool/components/skills/railway/metrics in davila7/claude-code-templates) into .claude/skills/railway-metrics in your project. Claude Code loads it when a task matches its description.

How do I install Railway Metrics in Codex?

Run `npx skills add davila7/claude-code-templates --skill railway-metrics -a codex`. Or copy the skill folder (cli-tool/components/skills/railway/metrics in davila7/claude-code-templates) into .agents/skills/railway-metrics in your project. Codex loads it when a task matches its description.

Can I use Railway Metrics in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add davila7/claude-code-templates --skill railway-metrics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/railway-metrics, .gemini/skills/railway-metrics, .github/skills/railway-metrics and .opencode/skills/railway-metrics in your project.

What does Railway Metrics need to run?

Going by SKILL.md and its folder, Railway Metrics needs the command-line tools its instructions call (jq, railway and bash). Its frontmatter pre-approves these tools: Bash(railway:*).

Does Railway Metrics access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Railway Metrics safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Railway Metrics use?

Railway Metrics is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Railway Metrics use?

About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Railway Metrics?

Skills that share tags, products or a category with Railway Metrics: Monitor CI (nrwl/nx, 29k stars), Terraform and OpenTofu Guide (agentscope-ai/QwenPaw, 36k stars), Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars) and Analyze GitHub Action Logs (withastro/astro, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Railway Metrics?

davila7 (a GitHub user) maintains it in davila7/claude-code-templates, which has 32,512 GitHub stars. The repository holds 479 skills in this directory. The repository was last updated on October 10, 2026.

Source: davila7/claude-code-templates on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.