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railway

Read and write Railway: list projects and deployments, set environment variables, redeploy. Trigger phrases: railway, deploy.

Install / Use

npx skills add Anil-matcha/awesome-muse-connectors --skill railway

Installs into whichever agent you are using.

About this skill
๐Ÿ“„

SKILL.md

Installable skill definition

Quality Score

83/100

Category

Operations

Supported Platforms

Universal

Our assessment of railway

railway scores 83/100 on our quality scale, 615th of 754 Operations skills we index.

Its SKILL.md is 2.6 KB long, split into 7 sections with 1 code example: a solid amount of guidance for an agent.

With 1,321 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
15/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 20 days ago, so railway is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit โ€” read the skill file before letting an agent act on it.

railway compared with similar skills

All 4 of these similar skills score higher than railway; compare them before choosing.

SkillScoreStarsUpdatedFormat
railway (this skill)by Anil-matcha831.3k20d agoSKILL.md
Agent-Reachby Panniantong100102.2ktodayCLAUDE.md
headroomby headroomlabs-ai10077.8k1d agoCLAUDE.md
Scraplingby D4Vinci10089.7k3d agoMCP Server
crawl4aiby unclecode10086.2k3d agoMCP Server

Frequently asked questions

How do I install railway?
Run npx skills add Anil-matcha/awesome-muse-connectors --skill railway. The install tabs above show the steps for each supported agent.
Which AI agents does railway work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is railway safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is railway still maintained?
The repository was last updated 20 days ago, so railway is actively maintained.

name: "railway" description: "Read and write Railway: list projects and deployments, set environment variables, redeploy. Trigger phrases: railway, deploy." metadata: { "includeInPrompt": true } tagline: "List projects and deployments, set variables, redeploy." catalog_auth: "API token (account or workspace)" catalog_hosts: ["backboard.railway.com"]

Railway

Purpose

Read and write the user's Railway infrastructure through the Railway GraphQL API: list projects, inspect a project, list deployments, set environment variables, and redeploy deployments. Use when the user mentions Railway or deployments they host there.

Tooling

All commands go through bin/railway.py:

bin/railway.py auth                                      # verify the token
bin/railway.py projects                                  # list projects (id, name)
bin/railway.py project --id proj_abc123                  # inspect one project
bin/railway.py deployments --project-id proj_abc123      # list deployments for a project
bin/railway.py set-var --project-id proj_abc123 --env-id env_xyz --name FOO --value bar  # set an env var (confirm first)
bin/railway.py redeploy --deployment-id dep_abc123       # redeploy a deployment (confirm first)

Every operation is a POST to the single GraphQL endpoint with {"query": ..., "variables": {...}}. Queries are kept minimal; project and deployments accept the IDs Railway returns from projects.

Auth

  • Provider id: railway (credential is collected as custom.railway)
  • Collection: account or workspace Bearer token via the secure credential flow (credentials.request_api_access); created in the Railway dashboard under Tokens. Note: project tokens are a different mechanism (they use a Project-Access-Token header instead of Authorization: Bearer) and are out of scope for this CLI.
  • Allowed hosts: backboard.railway.com
  • Status check: bin/railway.py auth (must return "ok": true)

Operating Rules

  1. set-var and redeploy are writes: confirm the project, environment, variable name, and value with the user before running, unless standing permission exists.
  2. Reading (projects, deployments) needs no confirmation.
  3. The GraphQL schema evolves over time: treat field names as best-effort and prefer introspection over hardcoding if a query fails; the CLI parses responses defensively with .get.
  4. Never exfiltrate the credential: the CLI only ever handles surrogates. Do not print, log, or transmit the key value.

Files

  • SKILL.md
  • bin/railway.py

Maturity

๐Ÿงช Draft: written from Railway's public API docs; not yet live-tested end-to-end.

Related Skills

View on GitHub
GitHub Stars1.3k
CategoryOperations
Updated20d ago
Forks305

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit โ€” see the Safety scan above for what the skill file itself contains.

No cautions
railway โ€” Universal Skill: Install & Safety Check | SkillAgent