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Starloop
by
Vlad Ursul
· GitHub ↗
· v1.0.1
· MIT-0
116
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0
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Active Installs
2
Versions
Install in OpenClaw
/install starloop
Description
Starloop integration. Manage data, records, and automate workflows. Use when the user wants to interact with Starloop data.
Usage Guidance
This skill appears coherent and uses the Membrane CLI to access Starloop. Before installing, verify the @membranehq/cli package on npm (publisher, download counts, repository) and confirm a global npm install is acceptable for your system. Understand that login opens a browser or returns an auth code — you will authenticate against Membrane, which stores credentials server-side. Because the skill interacts with external services, follow your usual policies for granting network/third-party access and review the Membrane service's privacy/security documentation if you handle sensitive data.
Capability Analysis
Type: OpenClaw Skill
Name: starloop
Version: 1.0.1
The skill bundle provides instructions for an AI agent to interact with the Starloop platform using the Membrane CLI. It follows standard integration patterns, leverages a legitimate third-party service (getmembrane.com) for authentication and API management, and explicitly advises against local credential storage. No malicious code, data exfiltration, or suspicious prompt injection attempts were found in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
The name/description (Starloop integration) matches the instructions: all actions are performed via the Membrane CLI and pertain to creating connections, listing actions, and running actions against Starloop. No unrelated services or credentials are requested.
Instruction Scope
SKILL.md limits runtime behavior to installing/using the Membrane CLI, performing login flows, creating connections, discovering and running actions, and polling action build status. It does not instruct reading arbitrary local files, environment variables, or transmitting data to unexpected endpoints.
Install Mechanism
This is an instruction-only skill (no install spec). It instructs the user to install @membranehq/cli via npm -g, which is a reasonable, common mechanism but performs a global install and writes to disk. Recommend confirming the npm package author/publisher and that global install is acceptable for your environment.
Credentials
The skill declares no required env vars or credentials. Authentication is delegated to Membrane's login flow (browser/headless auth), which is proportionate for the stated purpose and avoids asking for API keys directly.
Persistence & Privilege
always:false and normal autonomous invocation are used (platform defaults). The skill does not request persistent system-wide changes or access to other skills' configurations.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install starloop - After installation, invoke the skill by name or use
/starloop - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Auto sync from membranedev/application-skills
v1.0.0
Auto sync from membranedev/application-skills
Metadata
Frequently Asked Questions
What is Starloop?
Starloop integration. Manage data, records, and automate workflows. Use when the user wants to interact with Starloop data. It is an AI Agent Skill for Claude Code / OpenClaw, with 116 downloads so far.
How do I install Starloop?
Run "/install starloop" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Starloop free?
Yes, Starloop is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Starloop support?
Starloop is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Starloop?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.1.
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