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lg-thinq-universal（LG Thinq 通用）

Agent Skill

lg-thinq-universal 用于查找、检索和筛选相关信息，适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态，以及是否会触发联网、命令执行或文件读写。

总安装

11,750

周安装

480

GitHub Stars

下载量

3,763

OpenClaw

安装说明

本站只整理中文说明和来源信息，不托管安装包，也不代用户安装。

GitHub

来源数

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手，先确认命令和权限，再让它执行。

请帮我安装这个 Agent Skill：lg-thinq-universal（LG Thinq 通用）
来源仓库：https://github.com/utkarshthedev/lg-thinq-universal
安装命令：
openclaw skills install lg-thinq-universal
安装前请先检查当前环境是否支持对应 CLI，并向我确认将要执行的命令、安装目录、联网范围和文件读写权限；确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill；本站只展示命令，不托管安装包，也不自动执行。

ClawHubOpenClaw

openclaw skills install lg-thinq-universal

简介

lg-thinq-universal 支持通用 LG ThinQ 设备的发现与控制，可生成安全设备技能。

适用于 OpenClaw 中智能家居设备的集成与管理场景。
通过 clawhub 安装并使用 openclaw skills install lg-thinq-universal 命令部署。
使用前需确保设备已绑定账户并开启 API 访问权限。
建议测试设备指令响应延迟和异常处理能力。

SKILL.md

name: lg-thinq-universal
description: Universal LG ThinQ device manager. Discovers appliances (AC, Refrigerator, Washer, etc.) and generates secure, device-specific OpenClaw skills. Use when the user wants to: (1) Integrate LG ThinQ devices, (2) Know how to get an LG PAT token, (3) Discover new LG appliances, (4) Create specialized control skills for their home automation.
version: 1.1.0
requires
env
vars
install: ./setup.sh
metadata
openclaw
emoji: 🔐

LG ThinQ Universal Manager

🎯 Goal

Provide a secure, automated gateway for LG ThinQ device integration. This skill acts as a discovery engine and skill generator, allowing users to control their appliances via OpenClaw without duplicating sensitive credentials across multiple files.

📦 Supply Chain & Dependencies

For transparency and security, this skill performs the following automated installation steps:

Python Virtual Environment: Created locally within the skill directory to ensure isolation.
External Packages (via PyPI):

- requests: Used for secure communication with the LG ThinQ API. - python-dotenv: Used for local management of the LG_DEVICE_ID.

Network Access: The installation script connects to pypi.org to download these libraries.

🔑 Obtaining Credentials

If the user asks how to get their tokens, provide these instructions:

Visit the Portal: https://connect-pat.lgthinq.com
Log In: Use your official LG ThinQ account.
Create Token: Click "ADD NEW TOKEN", give it a name (e.g., "OpenClaw"), and select the required features.
Copy PAT: Copy the generated Personal Access Token (PAT) immediately.
Identify Country: Use your 2-letter ISO country code (e.g., US, IN, GB).

🛠️ Prerequisites

The agent MUST ensure the following are set before proceeding:

LG_PAT: Stored in shell environment or root .env.
LG_COUNTRY: Stored in shell environment or root .env.

🔄 Agent Workflow (Mandatory)

Follow these steps in order when a user requests setup:

Step 1: Discovery

Run the automated discovery script. It validates configuration and prepares the device database.

Mandatory Safety Flow:

Generate Manifest: Run ./setup.sh (without flags).
Brief User: Present the Manifest and explain exactly what actions will be performed.
Ask for Permission: Use ask_user to obtain explicit consent.
Execute: Only after approval, run: ./setup.sh --confirm.

Step 2: Assemble Workspace

Review the output from Step 1. Present the discovered devices to the user. Once an ID is selected, move immediately to assembly:

Generate Manifest: Run python3 scripts/assemble_device_workspace.py --id <DEVICE_ID> (without flags).
Ask for Permission: Use ask_user to obtain consent for the file/directory operations.
Execute: Run: python3 scripts/assemble_device_workspace.py --id <DEVICE_ID> --confirm.

Step 3: Document and Persist

After the assembly script completes, you MUST immediately:

Analyze: Review the [AVAILABLE COMMANDS] and [ENGINE CODE] printed by the script.
Consult Reference: Read references/api-reference.md for technical headers and control logic.
Generate SKILL.md: Create the documentation in the new directory using references/device-skill-template.md as your guide.
Persistence: Save the trigger phrase, skill path, and command summary into your global MEMORY.md.

⌨️ Universal Management Commands

Use these commands for maintenance and discovery:

Command	Description	Use Case
`python scripts/lg_api_tool.py list-devices`	List all linked appliances	Verify connectivity
`python scripts/lg_api_tool.py save-route`	Discover regional server	Fix "Route not found" errors
`python scripts/lg_api_tool.py get-state <id>`	Get raw device state	Deep debugging
`python scripts/lg_api_tool.py --help`	Show all API tool options	Explore advanced features

🛡️ Security Mandates

Zero-Leak Policy: NEVER ask the user to paste their LG_PAT into the chat.
Credential Isolation: NEVER copy LG_PAT into generated device skill directories. Only LG_DEVICE_ID is permitted in those locations.
Local-Only: All API communication must remain local.

📚 References

Document	Purpose
`references/skill-creation.md`	Detailed post-setup workflow for creating device skills
`references/skill-generation-guide.md`	Instructions for building device-specific SKILL.md files
`references/manual-setup.md`	Manual installation steps (without setup scripts)
`references/api-reference.md`	Technical details on API headers and control logic
`references/device-example.md`	Complete example of a generated device skill
`references/public_api_constants.json`	Public API keys and constants used by the scripts

🚨 Error Handling

Symptom	Resolution
`401 Unauthorized`	Token expired. Guide user to https://connect-pat.lgthinq.com.
`No devices found`	Verify device is added to the official LG ThinQ App on mobile first.
`Permission denied`	The script should already be executable. If not, inform the developer.

适合场景

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用户想查找某类 Agent Skill 时

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需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明，方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用；具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

79.03%

按下载量换算2,974

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置，应进入高风险复核队列，默认不自动发布。

安装前确认

本站仅展示第三方公开信息，不托管安装包，不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果，不能写成本站确认安全。当前只有一个来源，正式发布前建议补源仓库或其他目录站核验。

来源信息

GitHub 仓库

github.com

/utkarshthedev/lg-thinq-universal

SKILL.md 来源

clawhub.ai

/utkarshthedev/lg-thinq-universal

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