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gora050

Qntrl

by Vlad Ursul · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ✓ Security Clean
187
Downloads
0
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0
Active Installs
4
Versions
Install in OpenClaw
/install qntrl
Description
Qntrl integration. Manage Organizations, Pipelines, Users, Goals, Filters. Use when the user wants to interact with Qntrl data.
Usage Guidance
This skill appears coherent with its stated purpose. Before installing the Membrane CLI globally, verify the @membranehq/cli package and its GitHub repository (check maintainers, recent activity, and download counts). If you prefer less footprint, run via npx rather than global install (the README even uses npx for some commands). When authenticating, only follow the official Membrane-hosted login flow; do not paste secret API keys into unrelated prompts. If you have security concerns, test the CLI in an isolated environment (VM or container) and review its source code on the repository linked in the SKILL.md.
Capability Analysis
Type: OpenClaw Skill Name: qntrl Version: 1.0.3 The skill bundle provides instructions for an AI agent to interact with Qntrl using the Membrane CLI (@membranehq/cli). It outlines standard procedures for authentication, connection management, and action execution via the Membrane platform. No indicators of malicious intent, data exfiltration, or harmful prompt injection were found; the skill operates as a legitimate integration wrapper for the Qntrl workflow management service.
Capability Assessment
Purpose & Capability
Name and description (Qntrl integration) align with the instructions: they use the Membrane CLI to connect to Qntrl, discover and run actions, and manage connections. No unrelated services, binaries, or credentials are requested.
Instruction Scope
Runtime instructions are narrowly scoped to installing/using the Membrane CLI, logging in, creating a connection, listing/creating actions, and running them. The SKILL.md does not instruct reading arbitrary files, harvesting environment variables, or sending data to unexpected endpoints.
Install Mechanism
The skill is instruction-only but tells the user to install @membranehq/cli globally via npm (npm install -g). Installing a global npm package executes third-party code on the machine — a standard approach but carries the usual npm supply-chain risks. The instruction does not use obscure download URLs.
Credentials
No environment variables, config paths, or credentials are declared or requested by the skill. Authentication is delegated to Membrane's CLI flow (interactive/browser or headless auth URL), which is consistent with the described purpose.
Persistence & Privilege
Skill is not always-enabled, is user-invocable, and does not request persistent modifications to other skills or system-wide configs. Autonomous invocation is allowed (platform default) but not combined with other red flags.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install qntrl
  3. After installation, invoke the skill by name or use /qntrl
  4. 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
Slug qntrl
Version 1.0.3
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 4
Frequently Asked Questions

What is Qntrl?

Qntrl integration. Manage Organizations, Pipelines, Users, Goals, Filters. Use when the user wants to interact with Qntrl data. It is an AI Agent Skill for Claude Code / OpenClaw, with 187 downloads so far.

How do I install Qntrl?

Run "/install qntrl" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Qntrl free?

Yes, Qntrl is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Qntrl support?

Qntrl is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Qntrl?

It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.3.

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