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membranedev

Thinq

by Membrane Dev · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ✓ Security Clean
172
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install thinq
Description
ThinQ integration. Manage data, records, and automate workflows. Use when the user wants to interact with ThinQ data.
Usage Guidance
This skill is coherent: it instructs using the Membrane CLI to manage ThinQ resources and does not ask for unrelated secrets. Before you install/use it: 1) Verify you trust @membranehq/cli — review its npm page and the linked GitHub repo (the SKILL.md includes a repository URL) and prefer npx (temporary execution) if you don't want a global install. 2) Be aware that connecting creates a Membrane-managed connection which may allow the third-party service to access your ThinQ account—review Membrane's privacy/permissions. 3) When running membrane login/connect, follow interactive prompts and never paste unrelated secrets into the CLI. 4) Because this is an instruction-only skill from an unknown registry source, confirm the registry owner and repository before granting access. If you want extra assurance, ask for the exact npm package version and inspect its code before installing globally.
Capability Analysis
Type: OpenClaw Skill Name: thinq Version: 1.0.3 The skill provides instructions for an AI agent to manage LG ThinQ devices using the Membrane CLI. It follows standard practices for CLI-based integrations, including installation via npm, delegated authentication, and action discovery. No evidence of malicious intent, data exfiltration, or obfuscation was found; the documentation specifically encourages secure credential handling by advising the agent never to ask for raw API keys (SKILL.md).
Capability Assessment
Purpose & Capability
The name and description (ThinQ integration) match the instructions: using Membrane to connect, discover, create, and run ThinQ actions. Nothing in the SKILL.md asks for unrelated privileges or credentials.
Instruction Scope
Runtime instructions are limited to installing/using the Membrane CLI (login, connect, action list/create/run). They do not request reading arbitrary local files, unrelated environment variables, or sending data to unexpected endpoints. The skill explicitly says Membrane handles auth and not to ask users for API keys.
Install Mechanism
No install spec is embedded (instruction-only). The SKILL.md instructs installing @membranehq/cli via npm (global install) or using npx. This is expected for a CLI workflow but carries normal caution: global npm installs run code on your machine and should be reviewed before installation.
Credentials
The skill declares no required env vars or credentials and advises using Membrane-managed connections instead of local API keys. Requested permissions are proportionate to integrating with ThinQ via Membrane.
Persistence & Privilege
always is false and the skill does not request persistent system-wide changes. It is an instruction-only skill and does not modify other skills or system agent settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install thinq
  3. After installation, invoke the skill by name or use /thinq
  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 thinq
Version 1.0.3
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 4
Frequently Asked Questions

What is Thinq?

ThinQ integration. Manage data, records, and automate workflows. Use when the user wants to interact with ThinQ data. It is an AI Agent Skill for Claude Code / OpenClaw, with 172 downloads so far.

How do I install Thinq?

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

Is Thinq free?

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

Which platforms does Thinq support?

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

Who created Thinq?

It is built and maintained by Membrane Dev (@membranedev); the current version is v1.0.3.

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