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midscene-harmony-automation中场和谐自动化

Agent Skill

midscene-harmony-automation 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。

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周安装

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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

2

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:midscene-harmony-automation(中场和谐自动化)
来源仓库:https://github.com/quanru/midscene-harmony-automation
安装命令:
openclaw skills install midscene-harmony-automation
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 midscene-harmony-automation

简介

为 HarmonyOS NEXT 设备提供视觉驱动自动化能力。

  • 基于屏幕截图识别界面元素并执行触控操作。
  • 适用于应用测试与跨平台设备控制场景。midscene-harmony-automation 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 需确保设备处于开发者模式并授权辅助功能。
  • 建议核实系统版本与技能兼容性后再行使用。

SKILL.md

name
harmonyos-device-automation
description
>
allowed-tools

HarmonyOS Device Automation

CRITICAL RULES — VIOLATIONS WILL BREAK THE WORKFLOW: 1. Never run midscene commands in the background. Each command must run synchronously so you can read its output (especially screenshots) before deciding the next action. Background execution breaks the screenshot-analyze-act loop. 2. Run only one midscene command at a time. Wait for the previous command to finish, read the screenshot, then decide the next action. Never chain multiple commands together. 3. Allow enough time for each command to complete. Midscene commands involve AI inference and screen interaction, which can take longer than typical shell commands. A typical command needs about 1 minute; complex act commands may need even longer.

Automate HarmonyOS NEXT devices using npx @midscene/harmony@1. Each CLI command maps directly to an MCP tool — you (the AI agent) act as the brain, deciding which actions to take based on screenshots.

Prerequisites

Midscene requires models with strong visual grounding capabilities. The following environment variables must be configured — either as system environment variables or in a .env file in the current working directory (Midscene loads .env automatically):

MIDSCENE_MODEL_API_KEY="your-api-key"
MIDSCENE_MODEL_NAME="model-name"
MIDSCENE_MODEL_BASE_URL="https://..."
MIDSCENE_MODEL_FAMILY="family-identifier"

Example: Gemini (Gemini-3-Flash)

MIDSCENE_MODEL_API_KEY="your-google-api-key"
MIDSCENE_MODEL_NAME="gemini-3-flash"
MIDSCENE_MODEL_BASE_URL="https://generativelanguage.googleapis.com/v1beta/openai/"
MIDSCENE_MODEL_FAMILY="gemini"

Example: Qwen 3.5

MIDSCENE_MODEL_API_KEY="your-aliyun-api-key"
MIDSCENE_MODEL_NAME="qwen3.5-plus"
MIDSCENE_MODEL_BASE_URL="https://dashscope.aliyuncs.com/compatible-mode/v1"
MIDSCENE_MODEL_FAMILY="qwen3.5"
MIDSCENE_MODEL_REASONING_ENABLED="false"
# If using OpenRouter, set:
# MIDSCENE_MODEL_API_KEY="your-openrouter-api-key"
# MIDSCENE_MODEL_NAME="qwen/qwen3.5-plus"
# MIDSCENE_MODEL_BASE_URL="https://openrouter.ai/api/v1"

Example: Doubao Seed 2.0 Lite

MIDSCENE_MODEL_API_KEY="your-doubao-api-key"
MIDSCENE_MODEL_NAME="doubao-seed-2-0-lite"
MIDSCENE_MODEL_BASE_URL="https://ark.cn-beijing.volces.com/api/v3"
MIDSCENE_MODEL_FAMILY="doubao-seed"

Commonly used models: Doubao Seed 2.0 Lite, Qwen 3.5, Zhipu GLM-4.6V, Gemini-3-Pro, Gemini-3-Flash.

If the model is not configured, ask the user to set it up. See Model Configuration for supported providers.

HDC Setup

HDC (HarmonyOS Device Connector) must be installed and accessible. Common setup:

  • Install via DevEco Studio
  • Or set HDC_HOME environment variable to point to the HDC directory

Verify HDC is working:

hdc version
hdc list targets

Commands

Connect to Device

npx @midscene/harmony@1 connect
npx @midscene/harmony@1 connect --deviceId 0123456789ABCDEF

Take Screenshot

npx @midscene/harmony@1 take_screenshot

After taking a screenshot, read the saved image file to understand the current screen state before deciding the next action.

Perform Action

Use act to interact with the device and get the result. It autonomously handles all UI interactions internally — tapping, typing, scrolling, swiping, waiting, and navigating — so you should give it complex, high-level tasks as a whole rather than breaking them into small steps. Describe what you want to do and the desired effect in natural language:

# specific instructions
npx @midscene/harmony@1 act --prompt "type hello world in the search field and press Enter"
npx @midscene/harmony@1 act --prompt "long press the message bubble and tap Delete in the popup menu"

# or target-driven instructions
npx @midscene/harmony@1 act --prompt "open Settings and navigate to Wi-Fi settings, tell me the connected network name"

Disconnect

npx @midscene/harmony@1 disconnect

Workflow Pattern

Since CLI commands are stateless between invocations, follow this pattern:

  1. Connect to establish a session
  2. Launch the target app and take screenshot to see the current state, make sure the app is launched and visible on the screen.
  3. Execute action using act to perform the desired action or target-driven instructions.
  4. Disconnect when done

Best Practices

  1. Bring the target app to the foreground before using this skill: For best efficiency, launch the app using HDC (e.g., hdc shell aa start -a EntryAbility -b <bundleName>) before invoking any midscene commands. Then take a screenshot to confirm the app is actually in the foreground. Only after visual confirmation should you proceed with UI automation using this skill. HDC commands are significantly faster than using midscene to navigate to and open apps.
  2. Be specific about UI elements: Instead of vague descriptions, provide clear, specific details. Say "the Wi-Fi toggle switch on the right side" instead of "the toggle".
  3. Describe locations when possible: Help target elements by describing their position (e.g., "the search icon at the top right", "the third item in the list").
  4. Never run in background: Every midscene command must run synchronously — background execution breaks the screenshot-analyze-act loop.
  5. Batch related operations into a single act command: When performing consecutive operations within the same app, combine them into one act prompt instead of splitting them into separate commands. For example, "open Settings, tap Wi-Fi, and toggle it on" should be a single act call, not three. This reduces round-trips, avoids unnecessary screenshot-analyze cycles, and is significantly faster.
  6. Summarize report files after completion: After finishing the automation task, collect and summarize all report files (screenshots, logs, output files, etc.) for the user. Present a clear summary of what was accomplished, what files were generated, and where they are located, making it easy for the user to review the results.

Example — App launch and interaction:

hdc shell aa start -a EntryAbility -b com.huawei.hmos.settings
npx @midscene/harmony@1 connect
npx @midscene/harmony@1 take_screenshot
npx @midscene/harmony@1 act --prompt "scroll down the settings list and tap About device"
npx @midscene/harmony@1 take_screenshot
npx @midscene/harmony@1 disconnect

Example — Form interaction:

npx @midscene/harmony@1 act --prompt "fill in the username field with 'testuser' and the password field with 'pass123', then tap the Login button"
npx @midscene/harmony@1 take_screenshot

Common HarmonyOS Bundle Names

AppBundle Name
Settingscom.huawei.hmos.settings
Cameracom.huawei.hmos.camera
Gallerycom.huawei.hmos.photos
Calendarcom.huawei.hmos.calendar
Clockcom.huawei.hmos.clock
Calculatorcom.huawei.hmos.calculator
Browsercom.huawei.hmos.browser
Weathercom.huawei.hmos.weather

Troubleshooting

ProblemSolution
HDC not foundInstall via DevEco Studio or set HDC_HOME environment variable.
Device not listedCheck USB connection, ensure USB debugging is enabled in Developer Options, and run hdc list targets.
Command timeoutThe device screen may be off or locked. Wake the device and unlock it.
API key errorCheck .env file contains MIDSCENE_MODEL_API_KEY=<your-key>. See Model Configuration.
Wrong device targetedIf multiple devices are connected, use --deviceId <id> flag with the connect command.

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

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

92.51%
按下载量换算2,544

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

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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

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