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findmy

Track Apple devices/AirTags via FindMy.app on macOS.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=nousresearch-hermes-agent-skills-apple-findmy-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name findmy description Track Apple devices/AirTags via FindMy.app on macOS. version 1.0.0 author Hermes Agent license MIT platforms ["macos"] metadata {"hermes":{"tags":["FindMy","AirTag","location","tracking","macOS","Apple"]}} Find My (Apple) Track Apple devices and AirTags via the FindMy.app on macOS. Since Apple doesn't provide a CLI for FindMy, this skill uses AppleScript to open the app and screen capture to read device locations. Prerequisites macOS with Find My app and iCloud signed in Devices/AirTags already registered in Find My Screen Recording permission for terminal (System Settings → Privacy → Screen Recording) Optional but recommended : Install peekaboo for better UI automation: brew install steipete/tap/peekaboo When to Use User asks "where is my [device/cat/keys/bag]?" Tracking AirTag locations Checking device locations (iPhone, iPad, Mac, AirPods) Monitoring pet or item movement over time (AirTag patrol routes) Method 1: AppleScript + Screenshot (Basic) Open FindMy and Navigate # Open Find My app osascript -e 'tell application "FindMy" to activate' # Wait for it to load sleep 3 # Take a screenshot of the Find My window screencapture -w -o /tmp/findmy.png Then use vision_analyze to read the screenshot: vision_analyze(image_url="/tmp/findmy.png", question="What devices/items are shown and what are their locations?") Switch Between Tabs # Switch to Devices tab osascript -e ' tell application "System Events" tell process "FindMy" click button "Devices" of toolbar 1 of window 1 end tell end tell' # Switch to Items tab (AirTags) osascript -e ' tell application "System Events" tell process "FindMy" click button "Items" of toolbar 1 of window 1 end tell end tell' Method 2: Peekaboo UI Automation (Recommended) If peekaboo is installed, use it for more reliable UI interaction: # Open Find My osascript -e 'tell application "FindMy" to activate' sleep 3 # Capture and annotate the UI peekaboo see --app "FindMy" --annotate --path /tmp/findmy-ui.png # Click on a specific device/item by element ID peekaboo click --on B3 --app "FindMy" # Capture the detail view peekaboo image --app "FindMy" --path /tmp/findmy-detail.png Then analyze with vision: vision_analyze(image_url="/tmp/findmy-detail.png", question="What is the location shown for this device/item? Include address and coordinates if visible.") Workflow: Track AirTag Location Over Time For monitoring an AirTag (e.g., tracking a cat's patrol route): # 1. Open FindMy to Items tab osascript -e 'tell application "FindMy" to activate' sleep 3 # 2. Click on the AirTag item (stay on page — AirTag only updates when page is open) # 3. Periodically capture location while true ; do screencapture -w -o /tmp/findmy-$( date +%H%M%S).png sleep 300 # Every 5 minutes done Analyze each screenshot with vision to extract coordinates, then compile a route. Limitations FindMy has no CLI or API — must use UI automation AirTags only update location while the FindMy page is actively displayed Location accuracy depends on nearby Apple devices in the FindMy network Screen Recording permission required for screenshots AppleScript UI automation may break across macOS versions Rules Keep FindMy app in the foreground when tracking AirTags (updates stop when minimized) Use vision_analyze to read screenshot content — don't try to parse pixels For ongoing tracking, use a cronjob to periodically capture and log locations Respect privacy — only track devices/items the user owns
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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