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Metrics

Listed
railwayapp·vlatest·devops·MIT

Tracks key performance indicators (KPIs) to monitor progress, identify trends, and optimize your project's success – a vital tool for data-driven decisions.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it use-railway, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add railwayapp/railway-skills --skill use-railway -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

railwayapp

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 3 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 3 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: backboard.railway.com, railway.com, station-server.railway.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    railway.comundeclaredstation-server.railway.comundeclaredbackboard.railway.comundeclared

    What it found (3 of 8)

    • plugins/railway/skills/use-railway/SKILL.md:142contacts railway.com
      bash <(curl -fsSL https://railway.com/install.sh) --agents -y # Install CLI and configure detected agents
    • plugins/railway/skills/use-railway/SKILL.md:143contacts railway.com
      bash <(curl -fsSL https://railway.com/install.sh) # Shell script (macOS, Linux, Windows via WSL)
    • plugins/railway/skills/use-railway/references/request.md:44contacts station-server.railway.com
      curl -s 'https://station-server.railway.com/gql' \
  • No credential access: failed

    Touches credential material in 5 places.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

    What it found (3 of 5)

    • plugins/railway/skills/use-railway/references/analyze-db.md:117SSH private keys or config
      ls ~/.ssh/*.pub 2>/dev/null  # list local public keys
    • plugins/railway/skills/use-railway/references/analyze-db.md:126SSH private keys or config
      Local keys available:    <list from ~/.ssh/*.pub, or "none">
    • plugins/railway/skills/use-railway/references/analyze-db.md:131SSH private keys or config
      3. Generate a new key  — `ssh-keygen -t ed25519 -f ~/.ssh/id_ed25519_railway`
  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 3 places.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • plugins/railway/skills/use-railway/SKILL.md:141remote script piped into a shell
      curl -fsSL agents.railway.com | sh # Install CLI and configure detected agents
    • plugins/railway/skills/use-railway/SKILL.md:142remote script run via process substitution
      bash <(curl -fsSL https://railway.com/install.sh) --agents -y # Install CLI and configure detected agents
    • plugins/railway/skills/use-railway/SKILL.md:143remote script run via process substitution
      bash <(curl -fsSL https://railway.com/install.sh) # Shell script (macOS, Linux, Windows via WSL)
  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • Pinned to a commit: passed

    Scanned railwayapp/railway-skills at f48070c954.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
26 files, 12,146 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The metrics skill provides access to Railway's observability data. It allows AI agents to query and retrieve performance metrics, error rates, and other operational insights from your Railway projects. This enables automated monitoring, debugging, and optimization of deployed applications.

When to use it

  • Automated Monitoring: Regularly check key metrics (e.g., response time, CPU usage) and trigger alerts based on thresholds.
  • Debugging Issues: Quickly identify the root cause of application errors by analyzing error logs and performance data.
  • Performance Optimization: Analyze resource consumption patterns to optimize code or infrastructure configurations.
  • Incident Response: Gather relevant metrics during incidents to understand impact and accelerate resolution.

Key capabilities

  • Access Railway project metrics
  • Query error rates
  • Retrieve operational insights

Example prompts

  • "What was the average response time for my API endpoint in the last hour?"
  • "Show me the error rate for my production service over the past 24 hours."
  • “How much CPU is being used by my worker?”

Tips & gotchas

Requires an active Railway account and appropriate permissions to access project metrics. The skill's effectiveness depends on properly configured monitoring within your Railway projects.