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Regal
by
Membrane Dev
· GitHub ↗
· v1.0.3
· MIT-0
208
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install regal
Description
Regal integration. Manage Organizations, Pipelines, Users, Goals, Filters. Use when the user wants to interact with Regal data.
Usage Guidance
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.
Capability Analysis
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).
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install regal - After installation, invoke the skill by name or use
/regal - 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 Regal?
Regal integration. Manage Organizations, Pipelines, Users, Goals, Filters. Use when the user wants to interact with Regal data. It is an AI Agent Skill for Claude Code / OpenClaw, with 208 downloads so far.
How do I install Regal?
Run "/install regal" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Regal free?
Yes, Regal is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Regal support?
Regal is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Regal?
It is built and maintained by Membrane Dev (@membranedev); the current version is v1.0.3.
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