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agentkvmagentkvm 控制

Agent Skill

agentkvm 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

6,444

周安装

274

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下载量

2,258
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:agentkvm(agentkvm 控制)
来源仓库:https://github.com/iamtwz/agentkvm
安装命令:
openclaw skills install agentkvm
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 agentkvm

简介

agentkvm 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。

  • 适用于通过 NanoKVM-USB 硬件控制物理设备(手机、PC、Mac)的场景。
  • 通过 clawhub 安装,命令为 openclaw skills install agentkvm。
  • 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。
  • agentkvm 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
agentkvm
description
Control physical devices (phones, PCs, Macs) through NanoKVM-USB hardware. Use this skill whenever the user asks you to interact with a physical screen, take screenshots of a connected device, click/type/scroll on a remote machine, automate a GUI workflow on real hardware, or implement a "computer use" loop that observes a screen and takes actions. Also trigger when you see AgentKVM in the project, references to NanoKVM-USB, or when the user says things like "click the button on my phone", "what's on the screen", "open Settings on the device", "type my password on the PC", or "automate this on the connected machine".
compatibility
Requires agentkvm CLI (npm install -g agentkvm), Node.js >= 18, ffmpeg, and NanoKVM-USB hardware connected via USB.

Requirements

Before using AgentKVM, ensure the following are installed and available:

  • AgentKVM CLInpm install -g agentkvm
  • Node.js >= 18
  • ffmpeg — required for screenshot capture (brew install ffmpeg on macOS, apt install ffmpeg on Linux)
  • NanoKVM-USB hardware connected to the host machine via USB
  • HDMI input from the target device connected to the NanoKVM-USB

Run agentkvm status to verify everything is set up correctly. If the CLI is not found, install it first. If the device is not detected, check agentkvm list for available serial ports.

AgentKVM — AI-Driven Device Control

AgentKVM lets you see and operate physical devices (iPhones, Android phones, PCs, Macs, Linux machines) connected via NanoKVM-USB hardware. You take screenshots to observe the screen, then send mouse clicks, keyboard input, and scrolls to interact — just like a human sitting in front of the device.

Core Loop

Every interaction with a physical device follows the same pattern:

Screenshot → Analyze → Act → Verify
  1. Screenshot — capture what's currently on screen
  2. Analyze — look at the image to understand the UI state
  3. Act — click, type, scroll, or drag based on what you see
  4. Verify — take another screenshot to confirm the action worked

This loop is your fundamental building block. Chain multiple iterations to accomplish complex tasks.

Quick Start

Check connection

agentkvm --json status

If this fails, the device isn't connected. Check the serial port with agentkvm list.

See the screen

agentkvm --json screenshot

Returns { "path": "/path/to/screenshot.png", ... }. Read the image to see what's on screen.

Interact

# Click at pixel coordinates (relative to the cropped image)
agentkvm mouse click 223 485

# Type text
agentkvm type "hello world"

# Press key combos
agentkvm key enter
agentkvm key ctrl+c
agentkvm key cmd+space

# Scroll (positive = up, negative = down)
agentkvm mouse scroll 300 500 --delta -3

# Drag from point A to point B
agentkvm mouse drag 100 200 400 600

Remote operation

If AgentKVM is running on another machine, all commands work identically with --remote:

agentkvm --remote http://192.168.1.100:7070 --token my-secret screenshot --json
agentkvm --remote http://192.168.1.100:7070 --token my-secret mouse click 223 485

Or use the HTTP API directly — see references/api.md.

How Coordinates Work

This is critical to get right. When you analyze a screenshot and identify a UI element at pixel (x, y), those coordinates are relative to the screenshot image itself — top-left is (0, 0). Pass these coordinates directly to agentkvm mouse click x y.

AgentKVM handles the translation to the actual hardware coordinates internally, based on the device type and crop settings. You don't need to do any math.

Two coordinate modes

The device type determines how coordinates are translated:

"device" mode (iPhone, Android) — The cropped region IS the device's full screen. HID absolute coordinates 0–4096 map to the device's own display. Use this when the HDMI output shows the device screen within a larger capture frame.

"frame" mode (PC, Mac, Linux) — The cropped region is just a visual focus area; HID coordinates still map to the full monitor. Use this when you're controlling a computer where the capture resolution matches the target display.

The mode is selected automatically from the config. You rarely need to think about it.

Implementing a Task

When asked to perform a GUI task (e.g., "open Safari and search for X"):

Step 1: Observe first

Always start with a screenshot. Never assume what's on screen.

agentkvm --json screenshot

Read the returned image file. Describe what you see — this grounds your actions in reality.

Step 2: Plan your actions

Break the task into individual interactions. For "open Safari and search for X":

  1. Find the Safari icon → click it
  2. Wait for Safari to load → screenshot to verify
  3. Find the address bar → click it
  4. Type the search query
  5. Press Enter
  6. Screenshot to verify results

Step 3: Execute with verification

After each significant action, take a screenshot to verify it worked. Screens can be slow to update, so add brief waits between actions when needed (use sleep in your script).

Common pattern in a bash script:

# Click Safari icon at the observed position
agentkvm mouse click 223 950
sleep 1

# Verify it opened
agentkvm --json screenshot
# (read and analyze the screenshot)

# Click address bar
agentkvm mouse click 300 50
sleep 0.3

# Type search query
agentkvm type "weather today"
agentkvm key enter
sleep 2

# Verify search results loaded
agentkvm --json screenshot

Step 4: Handle failures

If an action didn't produce the expected result:

  • The element might have moved — take a fresh screenshot and re-locate it
  • The screen might not have updated yet — wait and retry
  • You might have clicked the wrong spot — re-analyze and adjust coordinates

Config Reference

All settings live in ~/.config/agentkvm/config.json. A typical setup:

{
  "serialPort": "/dev/tty.usbserial-2140",
  "resolution": { "width": 1920, "height": 1080 },
  "videoDevice": "USB3 Video",
  "deviceType": "iphone",
  "crop": { "x": 738, "y": 55, "width": 447, "height": 970 }
}

Key fields:

  • serialPort — path to the NanoKVM-USB serial device
  • resolution — HDMI capture resolution
  • videoDevice — video capture device name or index
  • deviceType — determines coordinate mode (iphone/android = device, pc/mac/linux = frame)
  • crop — sub-region of the capture frame to use as the working area

When config is set, you can run bare commands without flags: agentkvm screenshot, agentkvm mouse click 100 200, etc.

Tips for Reliable Automation

Prefer clicking on text labels over icons — text is easier to locate precisely in screenshots.

Use --json for programmatic access — all commands support it and return structured data you can parse.

Double-click when single-click doesn't respond — some UI elements need --double.

Scroll in small increments--delta 1 or --delta -1 is one scroll step. Use multiple steps with verification screenshots in between.

Type slowly for unreliable connections — increase --delay (default 50ms) if characters get dropped.

Use key combos for navigationcmd+space (Spotlight), alt+tab (window switch), ctrl+c (cancel) are often faster than finding and clicking UI elements.

For the full CLI reference, key combo syntax, and HTTP API details, see references/api.md.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

93.8%
按下载量换算2,118

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

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