railway-deployment

railway-deployment is a skill for Claude Code, Codex from porcupine-md/jonggrang. It costs 23 tokens per session (567 once invoked), scanned A, original, MIT.

A deployment guide for Railway, a hosted platform for running applications and related services. It covers deployments using Railway’s build system, Dockerfiles, or Nixpacks, a tool that creates builds from project files.

In plain words
What is it for?
Use it when publishing an application on Railway. It helps check the project connection, configure railway.toml or a Dockerfile, build the application, and provision services such as databases.
Why use it?
It gives the deployment a defined order for authentication, building, linking the project, and preparing services. This helps avoid deploying to the wrong project or missing required configuration.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when publishing an application on Railway. It helps check the project connection, configure railway.toml or a Dockerfile, build the application, and provision services such as databases.

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Install with agentmods
npx agentmods add skills/porcupine-md/jonggrang/railway-deployment
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add porcupine-md/jonggrang --skill railway-deployment
Clone the repo
git clone --depth 1 https://github.com/porcupine-md/jonggrang

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for railway-deployment

README.md
[![agentmods](https://agentmods.dev/badge/skills/porcupine-md/jonggrang/railway-deployment/github.svg)](https://agentmods.dev/skills/porcupine-md/jonggrang/railway-deployment)
Your own site
<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/railway-deployment"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/railway-deployment/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for railway-deployment

Your own site · 80×15
<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/railway-deployment"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/railway-deployment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 567 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00023 $0.00567
Opus 5 $0.00012 $0.00283
Sonnet 5 $0.00005 $0.00113
Haiku 4.5 $0.00002 $0.00057

Measured 12d ago against content hash 630d3251d017, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

railway-deployment scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

3. Retrieve the public URL (often via the dashboard or `railway domain`) and use `curl -sSf <URL>` to ensure the application returns a 200 OK status code.
skills/library/deploy/railway-deployment/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Context

Deploying {{project_name}} ({{project_type}}) to Railway. You will follow a strict 6-phase Deployment Lifecycle Contract.

Instructions

Execute the following phases in order:

Phase 1: Authentication

  1. Ensure the RAILWAY_TOKEN environment variable is set to a valid project token.
  2. If running locally, authenticate interactively with railway login. For automated agents, ensure the token is provided.
  3. Validate by running railway status to confirm the active project and environment.

Phase 2: Build

  1. Railway typically handles the build process remotely using Nixpacks or a Dockerfile.
  2. Ensure your railway.toml or Dockerfile is correctly configured in the project root.
  3. Local building is not usually required for a standard Railway deploy, but you may run local build scripts (e.g., npm run build) if generating static assets before pushing.

Phase 3: Install / Provisioning

  1. Ensure the target Railway project and service exist.
  2. If the project isn't linked, run railway link (requires interactive selection or specific project ID flags).
  3. If necessary, provision databases or other services via the Railway dashboard or CLI (e.g., railway run for migrations).

Phase 4: Deploy

  1. Ship the artifact to Railway.
  2. Run railway up --detach to deploy the current directory to the linked project and service. The --detach flag prevents the CLI from tailing logs indefinitely.

Phase 5: Checking

  1. Verify the deployment was successful.
  2. Run railway status to check if the service is deployed and running.
  3. Retrieve the public URL (often via the dashboard or railway domain) and use curl -sSf <URL> to ensure the application returns a 200 OK status code.
  4. If it fails, inspect logs using railway logs.

Phase 6: Update / Rollback

  1. If Phase 5 fails, immediately initiate a rollback.
  2. Railway supports reverting to previous deployments via the dashboard or by triggering a redeploy of an older Git commit if connected to GitHub.
  3. Note the failure in the progress log.

Read the full file on GitHub · 53 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 53 lines · 23 tokens per session scan A 630d3251d017

Subscribe to this mod's changes

railway-deployment is a skill published in the GitHub repository porcupine-md/jonggrang (11 stars, last pushed 4d ago), licensed MIT. It adds 23 tokens to every session and 567 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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