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Railway
by
Vlad Ursul
· GitHub ↗
· v1.0.3
· MIT-0
143
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install railway-integration
Description
Railway integration. Manage data, records, and automate workflows. Use when the user wants to interact with Railway data.
Usage Guidance
What to check before installing/using this skill:
- The skill expects you to install and run the Membrane CLI (npm). The registry metadata did not list this requirement — be aware you'll be installing a global npm package or using npx. Consider using npx to avoid a global install.
- Membrane handles Railway credentials server-side. If you care where credentials are stored, review Membrane (getmembrane.com/@membranehq/cli) privacy/security and trust the provider before connecting sensitive projects.
- The instructions require interactive login (browser or code). If you run in a headless environment, follow the headless flow but verify the auth code exchange steps.
- Because the skill is instruction-only, it won't itself contain hidden code, but the agent will be instructed to run CLI commands — ensure the agent (or user) has permission to run npm/membrane and that you trust the npm package version. Pin versions if you need reproducibility.
- If you want extra caution: run the membrane commands manually first (not via an autonomous agent) and inspect outputs, or audit the @membranehq/cli package source before installing.
Confidence explanation: medium — the skill's behavior is coherent and not obviously malicious, but the metadata omissions (no declared required binaries/credentials) are a mismatch that warrant user verification.
Capability Analysis
Type: OpenClaw Skill
Name: railway-integration
Version: 1.0.3
The skill bundle provides instructions for an AI agent to integrate with Railway via the Membrane CLI. It includes standard procedures for installing the '@membranehq/cli' package, authenticating, and managing cloud resources. The instructions in SKILL.md explicitly promote security best practices by directing the agent to use Membrane's managed authentication instead of requesting sensitive API keys or tokens from the user. No indicators of malicious intent, data exfiltration, or unauthorized execution were found.
Capability Assessment
Purpose & Capability
The name/description (Railway integration) align with the runtime instructions: the skill delegates Railway access to Membrane and shows how to list/create/run actions against Railway. That overall purpose is coherent. However, the registry metadata lists no required binaries or credentials while SKILL.md explicitly requires network access, a Membrane account, and use of the Membrane CLI (npm package). The omission of the CLI/network requirement in metadata is an inconsistency.
Instruction Scope
SKILL.md's runtime instructions stay on-topic: install/use the Membrane CLI, log in, create a connection to the Railway connector, discover or create actions, and run them. The instructions do not ask the agent to read unrelated files, exfiltrate data to arbitrary endpoints, or access unrelated credentials. They do require interactive login (browser/auth code) and use Membrane's service for credential management.
Install Mechanism
There is no formal install spec in the registry (instruction-only), but SKILL.md instructs users to run an npm global install (@membranehq/cli@latest) and also demonstrates npx usage. Installing a public npm CLI is a reasonable and common install mechanism, but because the skill's metadata did not declare this dependency, users might be surprised. The npm package is a traceable source (public registry) — not a raw download URL — which lowers risk compared to arbitrary URLs.
Credentials
The skill does not request environment variables or credentials directly. It explicitly instructs not to ask users for API keys and relies on Membrane to manage auth server-side. This is proportionate to its purpose. The one caveat: using Membrane means your Railway credentials/connection details will be handled by Membrane's service—confirm you trust that third party.
Persistence & Privilege
The skill does not request persistent or elevated platform privileges (always:false). It's instruction-only and does not attempt to modify other skills or global agent configuration. The agent-autonomy flags are default (model invocation allowed) — normal for skills and not, by themselves, a red flag.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install railway-integration - After installation, invoke the skill by name or use
/railway-integration - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
Auto sync from membranedev/application-skills
v1.0.2
Revert refresh marker
v1.0.1
Refresh update marker
v1.0.0
Auto sync from membranedev/application-skills
Metadata
Frequently Asked Questions
What is Railway?
Railway integration. Manage data, records, and automate workflows. Use when the user wants to interact with Railway data. It is an AI Agent Skill for Claude Code / OpenClaw, with 143 downloads so far.
How do I install Railway?
Run "/install railway-integration" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Railway free?
Yes, Railway is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Railway support?
Railway is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Railway?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.3.
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