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Install in OpenClaw
/install railway-deploy
Description
This skill should be used when the user wants to push code to Railway, says "railway up", "deploy", "deploy to railway", "ship", or "push". For initial setup or creating services, use new skill. For Docker images, use environment skill.
Usage Guidance
This skill appears to be a straightforward Railway CLI deploy helper, but before installing or letting an agent use it: 1) Ensure the runtime has the Railway CLI installed and you understand which Railway account/token the agent will use—the skill itself doesn't declare credentials. 2) The skill's commands can edit environment variables, mark services/volumes deleted, and otherwise mutate project state—limit the agent's Railway account permissions or require human confirmation for destructive actions. 3) If you don't trust automatic runs, require the agent to ask for explicit approval before running `railway` commands or test in a separate project/account with limited privileges.
Capability Analysis
Type: OpenClaw Skill
Name: railway-deploy
Version: 1.0.0
The skill is classified as suspicious due to the broad `allowed-tools: Bash(railway:*)` permission granted in `SKILL.md`. While the instructions themselves are benign and focused on legitimate deployment actions, this permission, combined with the instruction to use user-provided input for commit messages (e.g., `railway up -m "<MSG>"`), creates a significant risk of shell injection if the AI agent's implementation does not properly sanitize user input before executing `railway` CLI commands. This represents a critical vulnerability rather than clear evidence of intentional malicious behavior within the skill definition itself.
Capability Assessment
Purpose & Capability
The SKILL.md clearly implements a 'deploy to Railway' helper (uses `railway up`, environment edits, service targeting). However the registry metadata declares no required binaries or credentials while the instructions explicitly call `railway` CLI commands and show examples that modify projects/environments. The missing declared dependency on the Railway CLI and the lack of any declared primary credential is a minor incoherence: the skill will only work (and be able to act) if a Railway CLI is present and authenticated.
Instruction Scope
Instructions are focused on deploying and related tasks (detach/CI modes, target service/project, streaming logs). They also include commands that edit environment config (`railway environment edit --json`), set/delete variables, and mark services/volumes as deleted. Those are legitimate for a deployment skill but are high‑privilege actions — the SKILL.md gives the agent authority to change or delete Railway resources if the agent's CLI session has permissions. The skill does not instruct the agent to read unrelated local files or to exfiltrate data to unexpected endpoints.
Install Mechanism
Instruction-only skill with no install spec or code files. This lowers risk because nothing is downloaded or written to disk by the skill package itself.
Credentials
The skill declares no required environment variables or primary credential, yet operation depends on an authenticated Railway CLI session (or a Railway token available in the runtime). The reference docs mention many Railway/Railpack environment variables (RAILPACK_*, RAILWAY_*) but those are configuration values used by Railway — the skill itself does not declare or request secrets. Users should be aware that the agent will act with whatever Railway account/credentials are already present in its environment.
Persistence & Privilege
always:false and no install scripts — the skill does not request permanent inclusion or system-level modification. Autonomous invocation is allowed (platform default); combined with the skill's ability to change/delete projects, that means an agent invoked by this skill could act without extra prompts if the platform allows it, but that is a normal deployment plugin behavior rather than an inherent incoherence.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install railway-deploy - After installation, invoke the skill by name or use
/railway-deploy - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the deploy skill for Railway.
- Enables code deployment to Railway using `railway up`, with detailed CLI usage instructions.
- Supports both detach (default) and CI (log streaming) deploy modes, including when to use each.
- Provides guidance on commit messages, environment selection, and handling unlinked projects.
- Describes common errors and how to resolve them.
- Lists related skills for status checks, logs, and environment/config changes after deploy.
Metadata
Frequently Asked Questions
What is Railway Deploy?
This skill should be used when the user wants to push code to Railway, says "railway up", "deploy", "deploy to railway", "ship", or "push". For initial setup or creating services, use new skill. For Docker images, use environment skill. It is an AI Agent Skill for Claude Code / OpenClaw, with 1378 downloads so far.
How do I install Railway Deploy?
Run "/install railway-deploy" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Railway Deploy free?
Yes, Railway Deploy is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Railway Deploy support?
Railway Deploy is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Railway Deploy?
It is built and maintained by dbanys (@dbanys); the current version is v1.0.0.
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