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Skill v1.0.0

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graniet/kheish/findmy
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PublishedOctober 12, 2026 at 08:37 PM
Content Hashsha256:dc31951b38f1be44...
Git SHAdf50433f8d57
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SKILL.md4.2 KBactive
SKILL.md · 151 lines · 4.2 KB

description: Track Apple devices and AirTags via FindMy.app on macOS using AppleScript and screen capture. version: 1.0.0 license: MIT platforms:

  • macos

metadata: catalog: tags:

  • FindMy
  • AirTag
  • location
  • tracking
  • macOS
  • Apple

Kheish Compatibility

This skill is repo-local and stays inactive until explicitly activated.

When the original instructions refer to legacy tool names, use these Kheish mappings:

  • terminal => bash
  • web_extract => web_fetch, plus web_search when discovery is needed
  • search_files => grep_search and glob_search
  • browser_* tools require a browser-capable surfaced tool or MCP; if none is available, use the closest available surface and say so explicitly

When the instructions mention local helper files, resolve them from ${KHEISH_SKILL_DIR}.

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

bash
# 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

bash
# 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:

bash
# 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):

bash
# 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

  1. Keep FindMy app in the foreground when tracking AirTags (updates stop when minimized)
  2. Use vision_analyze to read screenshot content — don't try to parse pixels
  3. For ongoing tracking, use a cronjob to periodically capture and log locations
  4. Respect privacy — only track devices/items the user owns
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