Official agent skill

Agent Device

by Shopify in Shopify/flash-list

Interact with iOS simulator or Android emulator/device using snapshot-based coordinates.

OfficialMITAuto-check passedMobile

Install Agent Device

skills CLI
$ npx skills add Shopify/flash-list --skill agent-device -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Shopify/flash-list agent-device --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Shopify/flash-list.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/agent-device .claude/skills/agent-device && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agent-device
GitHub stars
7.2k
Token cost
~5k tokens
SKILL.md length
1,610 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Interact with iOS simulator or Android emulator/device using snapshot-based coordinates.

  • Works in 4 steps: Take a snapshot → Find the target element → Compute the center and press → …
  • Navigating the app on a simulator/emulator
  • SKILL.md covers IMPORTANT — agent-device is…, Prohibited agent-device…, Platform Setup and Core Workflow — Snapshot-First, plus 6 more sections
  • Calls adb, ffmpeg and xcrun

What it does

Agent Device is an agent skill from Shopify/flash-list, published by the product's own GitHub organization. Interact with iOS simulator or Android emulator/device using snapshot-based coordinates. Uses accessibility tree snapshots for precise element targeting, with screenshot verification as fallback. Use when navigating the app on a simulator/emulator.

Its SKILL.md is about 5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Mobile, covering Mobile testing and debugging and Accessibility. It works with Android and iOS. The repository describes itself as: A better list for React Native. The licence is MIT.

When your agent uses it

  • Navigating the app on a simulator/emulator
  • Tasks that involve Mobile testing and debugging
  • Tasks that involve Accessibility

Example prompts

  • “/agent-device”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Take a snapshot
  2. Find the target element
  3. Compute the center and press
  4. Verify with a screenshot

What it can do on your machine

Read from SKILL.md and the folder at commit 527d767. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • adb
    • ffmpeg
    • xcrun
    • bash

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent Device loads about 5k tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 1,610 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Shopify/flash-list at commit 527d767, republished under its MIT licence (© Shopify). 1,610 words, ~5,027 tokens.

Download SKILL.mdSave it as .claude/skills/agent-device/SKILL.md (or your agent's skills folder).
name
agent-device
description
Interact with iOS simulator or Android emulator/device using snapshot-based coordinates. Uses accessibility tree snapshots for precise element targeting, with screenshot verification as fallback. Use when navigating the app on a simulator/emulator.

IMPORTANT — agent-device is the ONLY tool for device interaction

ALL simulator/emulator interaction MUST go through agent-device commands. No exceptions, no fallbacks.

Banned tools/commands (never use these for device interaction, even if they seem easier):

  • adb for UI interaction — no input tap, input swipe, input text, screencap, etc. Allowed exceptions: adb devices, adb wait-for-device, adb install, adb reverse, adb shell getprop, adb shell am, adb shell pm, adb shell screenrecord + adb pull (see "Android Recording Workaround"), adb shell kill/adb shell pidof (for stopping screenrecord)
  • Mobile MCP tools — no mobile_click_on_screen_at_coordinates, mobile_take_screenshot, mobile_list_elements_on_screen, mobile_swipe_on_screen, mobile_type_keys, mobile_press_button, mobile_long_press_on_screen_at_coordinates, or any other mobile_* tool
  • xcrun simctl — no simctl io screenshot, simctl openurl, etc. Allowed exceptions: simctl list devices, simctl get_app_container, simctl install, simctl launch
  • osascript / AppleScript for simulator control
  • Appium or any other automation framework

Why: agent-device manages sessions, coordinate translation, and daemon state. Mixing in other tools causes session conflicts, stale state, and unreliable behavior.

  • Keep all delays under 1s. This applies to wait, sleep, and any other waiting mechanism. The app is fast — transitions and network responses complete quickly. The only exception is app launch (open), which may take a few seconds to fully load.

Agent Device Interaction

Control the iOS simulator or Android emulator using agent-device. The primary interaction method is snapshot-based: take an accessibility tree snapshot, find the target element's rect, compute its center, and press.

Prohibited agent-device subcommands

Do NOT use these as standalone subcommands:

  • click, find, fill, focus, get text, get attrs, scrollintoview, is, wait text, wait @ref, diff snapshot

Allowed agent-device subcommands: snapshot, screenshot, press, type, scroll, swipe, longpress, back, home, app-switcher, wait <ms>, open, close, keyboard dismiss, appstate, clipboard, alert, settings, record, devices, apps, batch, push, logs, network.

Platform Setup

Device Targeting (Required)

Always target a specific device by name using --device "<name>" to avoid launching the wrong simulator/emulator. At the start of each session:

  1. Run agent-device devices to list available devices
  2. Identify the correct booted device (or the one the user specified)
  3. Probe for an existing session before calling open (see below)
  4. If no existing session is found, pass --device "<name>" on open — subsequent commands in the same session inherit it
Probing for Existing Sessions (Do This First)

A previous conversation may have left an active session bound to the device. Calling open with a new session or the default session will fail with a conflict error. Always probe first using appstate (lightweight, no file output):

bash
# Probe: check if a session already owns this device
agent-device appstate --device "iPhone 16"
OutcomeWhat it meansWhat to do
SucceedsDefault session already owns this deviceUse it — no open needed
Device is already in use by session "X"Session X owns this deviceUse --session X for all commands (no open needed)
Session "default" is bound to device "Y"Default session owns a different deviceUse a new --session <name> and proceed with open
No active session / device not foundNo session exists yetProceed with open --device "<name>" normally

iOS:

bash
# First: discover available devices
agent-device devices

# Probe for existing session
agent-device appstate --device "iPhone 16"
# If error says "in use by session ios16" → use --session ios16
# If succeeds → default session works, skip open

# Only if no session exists: open with explicit device targeting
agent-device open FlatListPro --device "iPhone 16"

# Subsequent commands — no --device needed (session remembers)
agent-device snapshot -i -c --json   # primary: get elements with rects
agent-device press <x> <y>
agent-device screenshot /tmp/verify.png && sips --resampleHeight 852 /tmp/verify.png >/dev/null  # verification

Android (also requires --session and --platform):

Use agent-device apps --platform android --user-installed to discover the installed package name.

bash
# Probe for existing session
agent-device appstate --device "Android35" --session droid --platform android
# If succeeds → session already exists, skip open

# Only if no session exists: bind session to Android (replace <package> with actual package name)
agent-device open <package> --session droid --platform android \
  --device "Android35" \
  --activity <package>/.MainActivity

# All subsequent commands: just --session droid
agent-device snapshot -i -c --json --session droid  # primary
agent-device press <x> <y> --session droid
agent-device screenshot /tmp/verify.png --session droid && sips --resampleHeight 852 /tmp/verify.png >/dev/null  # verification

Core Workflow — Snapshot-First

The primary method uses the accessibility tree snapshot for exact element coordinates. Screenshots are the fallback for visual verification.

1. Take a snapshot
bash
agent-device snapshot -i -c --json

This returns interactive (-i) elements with their rect coordinates (-c) in JSON format. Each element looks like:

json
{
  "@ref": "@e25",
  "role": "button",
  "label": "Settings",
  "rect": {"x": 141, "y": 2032, "width": 154, "height": 154}
}
2. Find the target element

Search the snapshot output for your target by matching label, identifier, or value. Example: looking for "Settings" → find the element with "label": "Settings".

3. Compute the center and press

Calculate the center of the element's rect:

  • x = rect.x + rect.width / 2
  • y = rect.y + rect.height / 2

Then press at those coordinates.

4. Verify with a screenshot

After pressing, take a screenshot to confirm the action worked:

bash
agent-device screenshot /tmp/verify.png && sips --resampleHeight 852 /tmp/verify.png >/dev/null

Then Read /tmp/verify.png to view it.

Fallback: Vision-Based Screenshots

When an element is not in the accessibility tree (e.g., canvas-rendered content, custom drawn views), fall back to screenshots with percentage-based coordinate estimation.

Coordinate System — Device-Agnostic

iOS and Android use different coordinate systems for press. The exact dimensions vary by device. You MUST discover them dynamically at the start of each session.

How press coordinates work
  • Android: press takes raw pixel coordinates (same as screenshot dimensions)
  • iOS: press takes logical point coordinates (screenshot pixels / scale factor)
    • Modern iPhones (X and later): 3x scale
    • iPhone SE, older models: 2x scale
    • iPads: 2x scale
Session Start: Discover Press Dimensions (Vision Fallback Only)

Snapshot rect values are already in the correct press coordinate space — skip this if you're only using snapshots. This is only needed when estimating coordinates from screenshots. Run once per platform:

bash
agent-device screenshot /tmp/screen.png  # (add --session droid for Android)
sips -g pixelWidth -g pixelHeight /tmp/screen.png

Then compute the press dimensions:

# Android: press coords = screenshot pixels
PRESS_W = RAW_W
PRESS_H = RAW_H

# iOS: press coords = screenshot pixels / scale
PRESS_W = RAW_W / 3    # (use /2 for iPhone SE or iPad)
PRESS_H = RAW_H / 3

Remember these values for the rest of the session. All coordinate calculations use them.

Percentage Method
  1. View the screenshot
  2. Estimate the element's center as a percentage of screen width and height
  3. Multiply by the press dimensions:
x = PRESS_W * (x_percent / 100)
y = PRESS_H * (y_percent / 100)

Command Reference

Navigation
bash
open FlatListPro --device "iPhone 16"    # Launch app (iOS — always specify --device on first open)
open <package> \                          # Launch app (Android — discover package name with `apps --platform android --user-installed`)
  --device "Android35" --session droid --platform android \
  --activity <package>/.MainActivity
close FlatListPro                         # Kill app
back                                  # Navigate back (Android: in-app; iOS: may go to previous app)
home                                  # Device home screen
app-switcher                          # Open app switcher
Element Discovery
bash
snapshot -i -c --json                 # Interactive elements with rects (primary method)
Interactions
bash
press <x> <y>                         # Tap (iOS=logical points, Android=pixels)
press <x> <y> --double-tap            # Double-tap
longpress <x> <y> [durationMs]        # Long press (default 500ms)
type "text"                           # Type into focused field (tap input first)
scroll <up|down|left|right> [0-1]     # Scroll in direction with amount
swipe <x1> <y1> <x2> <y2> [durationMs]  # Precise swipe between coordinates
wait <ms>                             # Wait milliseconds (max 500ms — the app is fast)
Screenshots & Recording
bash
screenshot /tmp/screen.png            # Save screenshot
record start ./recording.mov          # Start video recording (iOS only — see below for Android)
record stop                           # Stop recording (iOS only)

To view a screenshot, downsample and read:

bash
agent-device screenshot /tmp/screen.png && sips --resampleHeight 852 /tmp/screen.png >/dev/null

Then Read /tmp/screen.png.

Android Recording Workaround

agent-device record is broken on Android emulators (API 35+) — it sends SIGINT to the local adb process instead of the on-device screenrecord, producing a corrupt MP4. Use adb directly for Android recording.

First, resolve the serial once per session (store in $SERIAL):

bash
SERIAL=$(adb devices | grep -w device | head -1 | cut -f1)

Then use it for recording:

bash
# Start (run in background)
adb -s $SERIAL shell screenrecord /sdcard/agent-rec.mp4 &

# Stop (SIGINT the on-device process, then pull)
adb -s $SERIAL shell kill -INT $(adb -s $SERIAL shell pidof screenrecord)
sleep 2
adb -s $SERIAL pull /sdcard/agent-rec.mp4 /tmp/recording.mp4
adb -s $SERIAL shell rm -f /sdcard/agent-rec.mp4

Note: screenrecord only encodes frames when the display changes — interact with the UI during recording or you'll get a single-frame file.

Device Info
bash
devices                               # List available devices
apps --platform ios --user-installed  # List installed apps
appstate                              # Show foreground app/activity (useful on Android)
keyboard dismiss                      # Dismiss on-screen keyboard (Android)
clipboard read                        # Read clipboard (iOS only)
clipboard write "text"                # Write to clipboard
Settings (useful for testing)
bash
settings appearance dark              # Switch to dark mode
settings appearance light             # Switch to light mode
settings wifi off                     # Toggle wifi
settings permission grant camera      # Grant camera permission

CI Known Issues

  • Session creation may hang on CI runners — agent-device open can hang indefinitely on CI. Set reasonable timeouts and be prepared to fall back to code-only verification with unit tests.
  • Use full bundle ID on CI — the app may not be recognized by display name; use the full bundle ID (e.g., org.reactjs.native.example.FlatListPro) instead of FlatListPro.
  • Snapshot/session timeouts — CI runners may experience persistent timeouts with snapshots and sessions. If agent-device is unavailable, document it in feedback and proceed with automated tests only.
Show full SKILL.md (634 more words)Show less

Tips

  • Round coordinates to the nearest integer
  • Aim for the center of the target element
  • If a tap misses, take a fresh snapshot and recalculate — don't guess repeatedly
  • Verify the tab bar layout from the first screenshot — it may change between app versions
  • back on iOS navigates to the previous app (not always within the current app) — use press on the back arrow instead
  • On Android, tap the input field with press before using type
  • On Android, swipe down near the top of the screen can trigger the notification shade — start swipes well within the content area
  • Prefer snapshot over screenshots for finding elements — it gives exact coordinates

Reducing Round Trips

Skip verification screenshots when confident

Not every press needs a screenshot afterward. Take one when:

  • Navigating to a new screen — confirm you landed on the right one
  • Uncertain the tap landed — small target, crowded UI, or unexpected state
  • Capturing evidence — for PRs, debugging, or bug reports

Skip it when tapping obvious, large targets (tab bar items, prominent buttons) where the next snapshot or action will confirm success anyway.

Reuse coordinates from a recent snapshot

A snapshot gives you rects for every interactive element on screen. If you need to tap multiple elements on the same screen (e.g., fill a form), compute all the centers from one snapshot and press them in sequence — don't re-snapshot between each tap unless the screen layout changes (navigation, modal dismiss, keyboard appearing).

Capturing Transient States (Loading Indicators, Animations)

Screenshots are too slow (~300ms per capture) to catch brief loading spinners or animations. Use video recording + frame extraction instead. agent-device sometimes doesn't record properly unless one press has been performed with it. It can lead to a small file.

Approach
  1. Record video around the action that triggers the transient state
  2. Extract frames with ffmpeg at high FPS
  3. Find changed frames using MD5 hashes, then Read those frames
Critical: Recording Timing

record start needs ~3 seconds of lead time before performing the action. The recording daemon takes time to initialize — without this delay, the recording captures a static image and the action is missed entirely.

Similarly, wait at least 4-5 seconds after the action before calling record stop to capture the full animation and settle.

IMPORTANT: Do NOT put recording commands inside a bash script. When record start, sleep, action commands, and record stop are all in one script, the recording often captures only a fraction of a second. Instead, run each step as a separate Bash tool call:

iOS:

# Step 1: Start recording (separate Bash call)
agent-device record start /tmp/evidence.mov --session ios

# Step 2: Wait + perform action + wait (separate Bash call)
sleep 3 && agent-device swipe 197 340 197 680 800 --session ios && sleep 5

# Step 3: Stop recording (separate Bash call)
agent-device record stop --session ios

Android (uses adb workaround — see "Android Recording Workaround" above):

# Step 1: Start recording (separate Bash call)
adb -s $SERIAL shell screenrecord /sdcard/agent-rec.mp4 &

# Step 2: Wait + perform action + wait (separate Bash call)
sleep 3 && agent-device swipe 540 700 540 1400 800 --session droid && sleep 5

# Step 3: Stop + pull recording (separate Bash call)
adb -s $SERIAL shell kill -INT $(adb -s $SERIAL shell pidof screenrecord) && sleep 2 && adb -s $SERIAL pull /sdcard/agent-rec.mp4 /tmp/evidence.mp4 && adb -s $SERIAL shell rm -f /sdcard/agent-rec.mp4
Verifying Frame Changes

Do NOT guess which frames show the action. Use MD5 hashes to find frames that actually differ:

bash
# Find which frames are unique (not identical to previous)
prev_hash=""
for f in /tmp/frames/frame-*.png; do
  hash=$(md5 -q "$f")
  if [[ "$hash" != "$prev_hash" ]]; then
    echo "$(basename $f): CHANGED"
    prev_hash="$hash"
  fi
done

If ALL frames have the same hash, the recording did not capture the action — re-record with more lead time.

Example: Capturing a Loading Spinner

iOS:

# Step 1 (separate Bash call): Start recording
agent-device record start /tmp/loading-evidence.mov

# Step 2 (separate Bash call): Wait for recording to initialize, perform action, wait for completion
sleep 3 && agent-device swipe $X_MID $Y_35PCT $X_MID $Y_75PCT 500 && sleep 5

# Step 3 (separate Bash call): Stop recording
agent-device record stop

Android:

# Step 1 (separate Bash call): Start recording
adb -s $SERIAL shell screenrecord /sdcard/agent-rec.mp4 &

# Step 2 (separate Bash call): Wait, perform action, wait
sleep 3 && agent-device swipe $X_MID $Y_35PCT $X_MID $Y_75PCT 500 --session droid && sleep 5

# Step 3 (separate Bash call): Stop + pull
adb -s $SERIAL shell kill -INT $(adb -s $SERIAL shell pidof screenrecord) && sleep 2 && adb -s $SERIAL pull /sdcard/agent-rec.mp4 /tmp/loading-evidence.mp4 && adb -s $SERIAL shell rm -f /sdcard/agent-rec.mp4
bash
# Step 4 (same or separate call): Extract frames + find changes
rm -rf /tmp/loading-frames && mkdir -p /tmp/loading-frames
ffmpeg -y -i /tmp/loading-evidence.mov -vf "fps=30" /tmp/loading-frames/frame-%04d.png 2>/dev/null

# Find changed frames via MD5
prev_hash=""
for f in /tmp/loading-frames/frame-*.png; do
  hash=$(md5 -q "$f")
  if [[ "$hash" != "$prev_hash" ]]; then
    echo "$(basename $f): CHANGED"
    prev_hash="$hash"
  fi
done

Then downsample and read the changed frames:

bash
# Downsample specific changed frames for LLM viewing
sips --resampleHeight 852 /tmp/loading-frames/frame-0090.png --out /tmp/loading-frames/view-0090.png >/dev/null
Read /tmp/loading-frames/view-0090.png
When to Use Each Approach
ScenarioApproach
Navigating / tapping UI elementssnapshot -i -c --json + compute center + press
Verifying a loading spinner existsVideo + frame extraction
Visual verification after an actionscreenshot + downsample + Read
Element not in accessibility treescreenshot + percentage estimation
Evidence for PR / bug reportVideo recording (share .mov file)
Pull-to-Refresh
  • iOS: Use swipe from ~35% down to ~77% down (within the content area)
  • Android: Prefer scroll down when at top of list — swipe down can trigger the notification shade

Time-Sensitive Scripts

For quickly performing a sequence of interactions (press, swipe, type), use a bash script. Manual step-by-step execution is too slow to catch fleeting UI states. Note: this is for interaction commands only — record start/record stop must still be separate Bash calls (see "Capturing Transient States" above).

  1. Explore manually first to discover coordinates
  2. Write a script using the discovered coordinates
  3. Run: bash /tmp/test-script.sh
  4. Read the screenshot to verify

© Shopify, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/agent-device of Shopify/flash-list.

Open the folder on GitHubat commit 527d767

Compare with similar skills

Agent Device next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agent Device compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Device this skillShopify/flash-list7.2k—~5kAutomated safety check: PassMIT
Mobilerun Docs Referencedroidrun/mobilerun9.6k—~943Automated safety check: PassMIT
Appiumblokadaorg/blokada3.3k—~3.5kAutomated safety check: PassMPL-2.0
Phoneagentrounak/PhoneAgent798—~2.2kAutomated safety check: PassMIT
Simvynpranshuchittora/simvyn437—~938Automated safety check: PassMIT
Mobile Automation with agent-devicenuclearpasta/react-native-drax714—~1.4kAutomated safety check: PassMIT

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Works with

Categories

Questions about Agent Device

What does Agent Device do?

Interact with iOS simulator or Android emulator/device using snapshot-based coordinates. Agent Device is an agent skill from Shopify/flash-list, published by the product's own GitHub organization. Interact with iOS simulator or Android emulator/device using snapshot-based coordinates.

When should I use Agent Device?

Agent Device fits situations like: navigating the app on a simulator/emulator; tasks that involve Mobile testing and debugging; tasks that involve Accessibility.

How do I install Agent Device in Claude Code?

Run `npx skills add Shopify/flash-list --skill agent-device -a claude-code`. Or copy the skill folder (.claude/skills/agent-device in Shopify/flash-list) into .claude/skills/agent-device in your project. Claude Code loads it when a task matches its description.

How do I install Agent Device in Codex?

Run `npx skills add Shopify/flash-list --skill agent-device -a codex`. Or copy the skill folder (.claude/skills/agent-device in Shopify/flash-list) into .agents/skills/agent-device in your project. Codex loads it when a task matches its description.

Can I use Agent Device in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Shopify/flash-list --skill agent-device -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-device, .gemini/skills/agent-device, .github/skills/agent-device and .opencode/skills/agent-device in your project.

What does Agent Device need to run?

Going by SKILL.md and its folder, Agent Device needs the command-line tools its instructions call (adb, ffmpeg, xcrun and bash).

Does Agent Device access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agent Device safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agent Device use?

Agent Device is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Device use?

About 5k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agent Device?

Skills that share tags, products or a category with Agent Device: Mobilerun Docs Reference (droidrun/mobilerun, 9.6k stars), Appium (blokadaorg/blokada, 3.3k stars), Phoneagent (rounak/PhoneAgent, 798 stars) and Simvyn (pranshuchittora/simvyn, 437 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Device?

Shopify (a GitHub organization, an official publisher) maintains it in Shopify/flash-list, which has 7,245 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 1, 2026.

Source: Shopify/flash-list on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.