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Railway
作者
aiwithabidi
· GitHub ↗
· v1.0.0
368
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0
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当前安装
1
版本数
在 OpenClaw 中安装
/install railway
功能描述
Railway deployment platform — projects, services, deployments, variables. App hosting CLI.
安全使用建议
This skill appears to be a straightforward Railway CLI and asks only for a RAILWAY_API_TOKEN. Before installing, consider: 1) Review the included scripts (you already have them) — the script will try to read a .env file at WORKSPACE/.env or ~/.openclaw/workspace/.env as a fallback for the token; make sure that file does not contain other secrets you don't want the skill to read. 2) Provide a dedicated Railway token with minimal needed scope rather than a full-privilege account. 3) If you want to avoid any implicit file reads, set RAILWAY_API_TOKEN explicitly in the environment when invoking, or edit the script to remove the .env fallback. 4) Confirm the author/homepage links and repository trustworthiness if you plan to use this in production. These precautions will reduce accidental exposure of other credentials.
功能分析
Type: OpenClaw Skill
Name: railway
Version: 1.0.0
The skill bundle is a legitimate CLI tool for interacting with the Railway deployment platform via its official GraphQL API (backboard.railway.app). The Python script (scripts/railway.py) uses only standard libraries and follows expected patterns for credential management and API interaction without any signs of data exfiltration, obfuscation, or malicious intent.
能力评估
Purpose & Capability
Name/description, declared env var (RAILWAY_API_TOKEN), and the included CLI implementation all align with a Railway platform client. The GraphQL endpoint used (backboard.railway.app/graphql/v2) matches the stated purpose.
Instruction Scope
SKILL.md instructs running the included Python script with RAILWAY_API_TOKEN set. The runtime script behaves as described, but it also attempts a fallback: reading a .env file from a workspace path (WORKSPACE or default ~/.openclaw/workspace/.env). That file-read behavior is not documented in SKILL.md and expands the instruction scope beyond what the metadata declares.
Install Mechanism
No install spec; this is instruction-only plus a single Python script that uses only the stdlib. There is no download-from-URL or package installation that would write/execute arbitrary third-party code.
Credentials
The skill only requires RAILWAY_API_TOKEN (primary credential), which is proportionate. However, the script will also read WORKSPACE (an environment variable) to locate a .env file and parse RAILWAY_API_TOKEN from it if the env var is not set—this implicit file access and use of WORKSPACE is not declared under 'required config paths' and could cause unexpected credential reads.
Persistence & Privilege
always is false and the skill does not request persistent system-wide privileges or modify other skills. Autonomous invocation is allowed (platform default) but not combined with other high-risk factors.
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 - 安装完成后，直接呼叫该 Skill 的名称或使用
/railway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
v1.0.0
Initial release of the Railway deployment platform skill.
- Provides CLI for managing Railway projects, services, deployments, and environment variables.
- Requires only Python 3.10+ with no external dependencies.
- Uses an API token via the RAILWAY_API_TOKEN environment variable.
- Includes quick start commands and full usage documentation.
- Part of the AgxntSix Skill Suite for OpenClaw agents.
元数据
常见问题
Railway 是什么？
Railway deployment platform — projects, services, deployments, variables. App hosting CLI. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 368 次。
如何安装 Railway？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install railway」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（开源免费），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 aiwithabidi（@aiwithabidi）开发并维护，当前版本 v1.0.0。
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