mobile-use-setup

mobile-use-setup is a skill for Claude Code, Codex from minitap-ai/mobile-use. It costs 42 tokens per session (560 once invoked), scanned A, original, Apache-2.0.

A setup guide for a local-first mobile-use software development kit (SDK), which lets an agent operate an iOS or Android app on a selected device. It covers local devices, BrowserStack, Minitap cloud devices, and supported language-model providers.

In plain words
What is it for?
Use it to create and configure a project, connect an iOS or Android simulator, physical device, BrowserStack session, or Minitap cloud device, and select a language-model provider.
Why use it?
It organizes the device, Python, provider, and credential setup needed before the agent can run mobile tasks, helping avoid configuration errors.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

About the project

mobile-use is an open-source AI agent that controls Android and iOS applications from natural-language instructions. It is used to automate phone tasks, navigate app interfaces, and extract structured information from apps. The catalogue skill helps agents operate mobile-use.

minitap-ai/mobile-use · 2,805 stars · on GitHub · minitap.ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/minitap-ai/mobile-use/mobile-use-setup
Any agent
npx skills add minitap-ai/mobile-use --skill mobile-use-setup
Clone the repo
git clone --depth 1 https://github.com/minitap-ai/mobile-use

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mobile-use-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/minitap-ai/mobile-use/mobile-use-setup.svg)](https://agentmods.dev/skills/minitap-ai/mobile-use/mobile-use-setup)
Your own site
<a href="https://agentmods.dev/skills/minitap-ai/mobile-use/mobile-use-setup"><img src="https://agentmods.dev/badge/skills/minitap-ai/mobile-use/mobile-use-setup.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 560 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.00560
Opus 5 $0.00021 $0.00280
Sonnet 5 $0.00008 $0.00112
Haiku 4.5 $0.00004 $0.00056

Measured 7d ago against content hash c2c28313aee0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

mobile-use-setup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/check-prerequisites.sh, scripts/create-project.sh, scripts/verify-device.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/mobile-use-setup/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mobile-Use SDK Setup

Set up mobile-use so the agent runs locally against a selected device.

Gather Requirements

Ask only for information not already provided:

  1. Target: iOS, Android, or both.
  2. Device path: local physical device/emulator, BrowserStack, or a Minitap cloud device.
  3. LLM provider: Minitap API, OpenAI, Anthropic, Google, OpenRouter, a local model, or another supported provider.

Check Prerequisites

python3 --version  # Requires 3.12+
which uv

# Android local
which adb
adb devices

# iOS simulator
which idb_companion
xcrun simctl list devices

# iOS physical
which idevice_id
which appium
appium driver list

For missing dependencies, use the device-specific reference files in this skill.

Create The Project

uv init <project-name>
cd <project-name>
uv add minitap-mobile-use python-dotenv
cp llm-config.override.template.jsonc llm-config.override.jsonc

Configure the selected provider in llm-config.override.jsonc and put only the required provider keys in .env. Add .env to .gitignore.

Create The Starter

Generate task code that runs the agent locally:

import asyncio

from dotenv import load_dotenv

from minitap.mobile_use.sdk import Agent
from minitap.mobile_use.sdk.builders import Builders
from minitap.mobile_use.sdk.types import AgentProfile

load_dotenv()


async def main() -> None:
    profile = AgentProfile(name="default", from_file="llm-config.override.jsonc")
    config = Builders.AgentConfig.with_default_profile(profile).build()
    agent = Agent(config=config)

    try:
        await agent.init()
        result = await agent.run_task(goal="Your automation goal", name="first-task")
        print(result)
    finally:
        await agent.clean()


if __name__ == "__main__":
    asyncio.run(main())

When selected, extend config with the BrowserStack or for_cloud_device(...) builder API.

Verify

Verify the selected device is visible, then run:

uv run python -c "from minitap.mobile_use.sdk import Agent; print('SDK OK')"
uv run python main.py

Read the full file on GitHub · 96 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 96 lines · 42 tokens per session scan A c2c28313aee0

Subscribe to this mod's changes

mobile-use-setup is a skill published in the GitHub repository minitap-ai/mobile-use (2,805 stars, last pushed 9d ago), licensed Apache-2.0. It adds 42 tokens to every session and 560 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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