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 railwayInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
OperationsSupported Platforms
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.
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.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| railway (this skill)by Anil-matcha | 83 | 1.3k | 20d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 102.2k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 77.8k | 1d ago | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 89.7k | 3d ago | MCP Server |
| crawl4aiby unclecode | 100 | 86.2k | 3d ago | MCP 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.
Skill content
View source on GitHubname: "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 ascustom.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 aProject-Access-Tokenheader instead ofAuthorization: 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
set-varandredeployare writes: confirm the project, environment, variable name, and value with the user before running, unless standing permission exists.- Reading (projects, deployments) needs no confirmation.
- 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. - 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
๐งช Draft: written from Railway's public API docs; not yet live-tested end-to-end.
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Languages
Trust signals
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.
