ipsw-skill

🥈Silver

AI skill for Apple firmware and binary reverse engineering using the ipsw CLI tool. Supports Claude Code, Codex CLI, and Gemini CLI. Helps operations teams analyze firmware, extract binaries, and identify vulnerabilities.

3640Updated 1mo ago

Intermediate30min to implementautomation

Saves ~30 min per use

Quick InstallView Source

git clone https://github.com/blacktop/ipsw-skill.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/blacktop/ipsw-skill

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Analyze the firmware for [DEVICE_MODEL] using the ipsw CLI tool. Extract the following binaries: [BINARY_LIST]. Identify potential vulnerabilities in the firmware and provide a detailed report. Use Claude Code for code analysis and Codex CLI for binary extraction.

Example Output

# Firmware Analysis Report for iPhone 15 Pro

## Extracted Binaries
- `kernelcache.release.n94`
- `System/Library/PrivateFrameworks/AppleNeuralEngine.framework`
- `System/Library/PrivateFrameworks/SpringBoardServices.framework`

## Potential Vulnerabilities
- **Memory Corruption**: The kernel binary shows signs of improper memory management in the IOMobileFrameBuffer driver.
- **Privilege Escalation**: The AppleNeuralEngine framework contains an unchecked function call that could allow privilege escalation.
- **Information Disclosure**: The SpringBoardServices framework logs sensitive data in plaintext.

## Recommendations
1. Apply memory management best practices to the IOMobileFrameBuffer driver.
2. Implement proper access controls for the AppleNeuralEngine framework.
3. Encrypt sensitive data logged by the SpringBoardServices framework.