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Railway
作者
Vlad Ursul
· GitHub ↗
· v1.0.3
· MIT-0
143
总下载
0
收藏
0
当前安装
4
版本数
在 OpenClaw 中安装
/install railway-integration
功能描述
Railway integration. Manage data, records, and automate workflows. Use when the user wants to interact with Railway data.
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install railway-integration - 安装完成后，直接呼叫该 Skill 的名称或使用
/railway-integration触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
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
元数据
常见问题
Railway 是什么？
Railway integration. Manage data, records, and automate workflows. Use when the user wants to interact with Railway data. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 143 次。
如何安装 Railway？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install railway-integration」即可一键安装，无需额外配置。
Railway 是免费的吗？
是的，Railway 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Railway 支持哪些平台？
Railway 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Railway？
由 Vlad Ursul（@gora050）开发并维护，当前版本 v1.0.3。
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