← 返回 Skills 市场
Regal
作者
Membrane Dev
· GitHub ↗
· v1.0.3
· MIT-0
208
总下载
0
收藏
0
当前安装
4
版本数
在 OpenClaw 中安装
/install regal
功能描述
Regal integration. Manage Organizations, Pipelines, Users, Goals, Filters. Use when the user wants to interact with Regal data.
安全使用建议
This skill appears coherent: it uses Membrane as a proxy to talk to Regal and asks you to install and authenticate the Membrane CLI. Before installing or running the CLI: 1) verify the npm package (@membranehq/cli) and the publisher on the npm registry, 2) inspect the project's repository/homepage (https://getmembrane.com and the referenced GitHub repo) to confirm legitimacy, and 3) be aware that installing a global npm package can run install scripts — only proceed if you trust the publisher. The skill itself does not request API keys or other unrelated credentials; it relies on the browser-based login/connection flow handled by Membrane.
功能分析
Type: OpenClaw Skill
Name: regal
Version: 1.0.3
The 'regal' skill provides instructions for an AI agent to manage Regal platform data via the Membrane CLI. It outlines standard procedures for installation (npm install), authentication, and API interaction. No indicators of malicious intent, data exfiltration, or harmful prompt injection were identified; the skill's operations are consistent with its stated purpose of facilitating third-party service integration via the Membrane platform (getmembrane.com).
能力评估
Purpose & Capability
The skill's name/description (Regal integration) matches the actions described in SKILL.md: it instructs the agent to use the Membrane CLI to connect to Regal, discover and run actions, and create actions when needed. Asking the user to install the Membrane CLI and create a connection is coherent with the stated purpose.
Instruction Scope
Instructions are narrowly scoped to installing/using the Membrane CLI, performing login (interactive or headless URL flow), creating/listing connections, discovering and running actions, and polling build state. The instructions do not ask the agent to read arbitrary local files, access unrelated environment variables, or exfiltrate data to unexpected endpoints.
Install Mechanism
This is an instruction-only skill (no install spec). It recommends installing @membranehq/cli from npm (npm install -g or npx). Installing a global npm package is a normal way to obtain the CLI, but npm packages can execute install scripts; users should verify the package's authenticity (registry package name, publisher, repo, and release metadata) before installing.
Credentials
The skill declares no required environment variables or credentials and advises letting Membrane handle credentials via connection flow. That is proportionate to the described functionality. The SKILL.md does not attempt to collect unrelated secrets.
Persistence & Privilege
The skill is not always-enabled and does not request system-wide persistence or access to other skills' configurations. It uses an interactive login flow and Membrane-managed connections; nothing in the SKILL.md asks the skill to modify global agent settings.
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 regal - 安装完成后，直接呼叫该 Skill 的名称或使用
/regal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
Regal 是什么？
Regal integration. Manage Organizations, Pipelines, Users, Goals, Filters. Use when the user wants to interact with Regal data. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 208 次。
如何安装 Regal？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install regal」即可一键安装，无需额外配置。
Regal 是免费的吗？
是的，Regal 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Regal 支持哪些平台？
Regal 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 Regal？
由 Membrane Dev（@membranedev）开发并维护，当前版本 v1.0.3。
推荐 Skills