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/findmy

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

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hermes-agent
245k58 skills
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$ npx -y skills add NousResearch/hermes-agent --skill findmy --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/findmy

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

SKILL.md

findmy.SKILL.md
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

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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The self-improving AI agent built by Nous Research. It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a

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