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agent-deviceAgent 设备

Agent Skill

agent-device 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

35,844

周安装

1,450

GitHub Stars

3

下载量

11,252
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:agent-device(Agent 设备)
来源仓库:https://github.com/okwasniewski/agent-device
安装命令:
openclaw skills install agent-device
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 agent-device

简介

Agent Device 实现对 iOS/Android 模拟器与设备的自动化交互。

  • 适用于应用导航、屏幕截图与触控操作等移动测试场景。
  • 支持快照比对与事件录制,辅助 UI 验证流程。
  • 安装命令:openclaw skills install agent-device,需连接物理设备或启动模拟器。
  • 注意设备授权与 USB 调试模式开启要求,部分厂商限制自动化访问。

SKILL.md

name
agent-device
description
Automates interactions for iOS simulators/devices and Android emulators/devices. Use when navigating apps, taking snapshots/screenshots, tapping, typing, scrolling, or extracting UI info on mobile targets.

Mobile Automation with agent-device

For exploration, use snapshot refs. For deterministic replay, use selectors.

Start Here (Read This First)

Use this skill as a router, not a full manual.

  1. Pick one mode:

- Normal interaction flow - Debug/crash flow - Replay maintenance flow

  1. Run one canonical flow below.
  2. Open references only if blocked.

Decision Map

  • No target context yet: devices -> pick target -> open.
  • Normal UI task: open -> snapshot -i -> press/fill -> diff snapshot -i -> close
  • Debug/crash: open <app> -> logs clear --restart -> reproduce -> logs path -> targeted grep
  • Replay drift: replay -u <path> -> verify updated selectors

Canonical Flows

1) Normal Interaction Flow

agent-device open Settings --platform ios
agent-device snapshot -i
agent-device press @e3
agent-device diff snapshot -i
agent-device fill @e5 "test"
agent-device close

2) Debug/Crash Flow

agent-device open MyApp --platform ios
agent-device logs clear --restart
agent-device logs path

Logging is off by default. Enable only for debugging windows. logs clear --restart requires an active app session (open <app> first).

3) Replay Maintenance Flow

agent-device replay -u ./session.ad

Command Skeleton (Minimal)

Session and navigation

agent-device devices
agent-device open [app|url] [url]
agent-device open [app] --relaunch
agent-device close [app]
agent-device session list

Use boot only as fallback when open cannot find/connect to a ready target.

Snapshot and targeting

agent-device snapshot -i
agent-device diff snapshot -i
agent-device find "Sign In" click
agent-device press @e1
agent-device fill @e2 "text"
agent-device is visible 'id="anchor"'

press is canonical tap command; click is an alias.

Utilities

agent-device appstate
agent-device get text @e1
agent-device screenshot out.png
agent-device trace start
agent-device trace stop ./trace.log

Batch (when sequence is already known)

agent-device batch --steps-file /tmp/batch-steps.json --json

Guardrails (High Value Only)

  • Re-snapshot after UI mutations (navigation/modal/list changes).
  • Prefer snapshot -i; scope/depth only when needed.
  • Use refs for discovery, selectors for replay/assertions.
  • Use fill for clear-then-type semantics; use type for focused append typing.
  • iOS appstate is session-scoped; Android appstate is live foreground state.
  • iOS settings helpers are simulator-only; use faceid match|nonmatch|enroll|unenroll.
  • If using --save-script, prefer explicit path syntax (--save-script=flow.ad or ./flow.ad).

Security and Trust Notes

  • Prefer a preinstalled agent-device binary over on-demand package execution.
  • If install is required, pin an exact version (for example: npx --yes agent-device@<exact-version> --help).
  • Signing/provisioning environment variables are optional, sensitive, and only for iOS physical-device setup.
  • Logs/artifacts are written under ~/.agent-device; replay scripts write to explicit paths you provide.
  • Keep logging off unless debugging and use least-privilege/isolated environments for autonomous runs.

Common Mistakes

  • Mixing debug flow into normal runs (keep logs off unless debugging).
  • Continuing to use stale refs after screen transitions.
  • Using URL opens with Android --activity (unsupported combination).
  • Treating boot as default first step instead of fallback.

References

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

85.76%
按下载量换算9,650

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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。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

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