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Rafay Systems
作者
Vlad Ursul
· GitHub ↗
· v1.0.1
· MIT-0
132
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install rafay-systems
功能描述
Rafay Systems integration. Manage data, records, and automate workflows. Use when the user wants to interact with Rafay Systems data.
安全使用建议
This skill appears to do what it says: it relies on the Membrane CLI to talk to Rafay and asks you to install and authenticate that CLI. Before installing, confirm you trust Membrane (https://getmembrane.com), because data and credentials for Rafay will be routed/managed by their service. Installing the CLI globally with npm will run third-party code on your machine—prefer to inspect the package and its repository or install in a contained environment. When using the login flow in headless environments, follow the documented code-copy flow carefully and avoid pasting secrets into untrusted prompts. If you prefer not to delegate credentials to a third party, do not use this skill and interact directly with Rafay's API using your own tooling.
功能分析
Type: OpenClaw Skill
Name: rafay-systems
Version: 1.0.1
The rafay-systems skill provides instructions for an AI agent to manage Kubernetes lifecycles via the Membrane CLI. The SKILL.md file guides the agent through legitimate tasks such as installing the `@membranehq/cli` package, authenticating, and executing actions through the Membrane platform. The instructions prioritize security by advising the agent to let the platform handle credentials rather than requesting secrets from the user, and no evidence of malicious intent, data exfiltration, or harmful prompt injection was found.
能力评估
Purpose & Capability
The name/description (Rafay Systems integration) matches the instructions: all runtime actions are performed via the Membrane CLI and the skill documents connecting, listing, creating, and running Rafay-related actions. Nothing in the skill asks for unrelated access (e.g., cloud provider credentials) or capabilities that don't belong to an integration skill.
Instruction Scope
The SKILL.md instructs installing and using the Membrane CLI, performing login flows, creating connections, discovering and running actions. This is within scope for an integration skill, but it necessarily sends auth and Rafay interaction through Membrane's servers and requires the user to complete web-based auth (including copying codes in headless environments). The instructions do not ask the agent to read local files or unrelated environment variables.
Install Mechanism
Installation is via npm (npm install -g @membranehq/cli@latest). That is a reasonable, traceable mechanism for a CLI but carries the usual npm risk: installing and running a third-party package globally executes code from the npm registry. The skill package itself contains no install spec in the registry metadata (it is instruction-only).
Credentials
The skill declares no required env vars, config paths, or credentials. Its demonstrated authentication model delegates credentials to Membrane (server-side). That is proportionate to the stated purpose. Note: using Membrane means your Rafay access/credentials are managed by that service rather than stored locally.
Persistence & Privilege
The skill does not request always:true and contains no steps to modify other skills or system-wide agent settings. Agent autonomous invocation is allowed (platform default) but not combined with other privilege escalations.
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 rafay-systems - 安装完成后，直接呼叫该 Skill 的名称或使用
/rafay-systems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
v1.0.1
Auto sync from membranedev/application-skills
v1.0.0
Auto sync from membranedev/application-skills
元数据
常见问题
Rafay Systems 是什么？
Rafay Systems integration. Manage data, records, and automate workflows. Use when the user wants to interact with Rafay Systems data. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 132 次。
如何安装 Rafay Systems？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install rafay-systems」即可一键安装，无需额外配置。
Rafay Systems 是免费的吗？
是的，Rafay Systems 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Rafay Systems 支持哪些平台？
Rafay Systems 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 Rafay Systems？
由 Vlad Ursul（@gora050）开发并维护，当前版本 v1.0.1。
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