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Advanced Game Modding Framework

A professional-grade framework enabling game developers and modders to safely create, test, and distribute game modifications. Built with security, stability, and performance in mind.

Quick Start Guide

Installation

# Create and activate virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install the framework
pip install -e .

# Run tests to verify installation
pytest

Basic Usage Example

from modding_framework import ModFramework

# Initialize the framework
mod = ModFramework()

# Example 1: Safe Memory Modification
def patch_health_function():
    # Find health update function
    health_addr = 0x140002000  # Example address
    
    # Validate memory region
    if not mod.validate_memory_region(health_addr, 5):
        raise ValueError("Invalid memory region")
    
    # Create a hook that prevents health reduction
    original = mod.read_memory(health_addr, 5)
    if not mod.register_hook(health_addr, original):
        raise RuntimeError("Hook registration failed")
    
    # Apply patch atomically with rollback support
    nop_sequence = b"\x90" * 5
    success, error = mod.validate_modification(health_addr, nop_sequence)
    if not success:
        print(f"Validation failed: {error}")
        return False
    
    return mod.atomic_patch(health_addr, nop_sequence)

# Example 2: Asset Management
def load_custom_model():
    # Register custom model dependencies
    mod.add_asset_dependency("custom_char.mdl", "char_animations.pak")
    mod.add_asset_dependency("char_animations.pak", "base_assets.pak")
    
    # Verify and load assets in correct order
    if not mod.verify_asset_graph():
        raise ValueError("Invalid asset dependencies")
    
    return mod.load_assets_topological()

Introduction

The Advanced Game Modding Framework is designed for:

  • Game Developers: Integrate modding support into your games with built-in safety guarantees
  • Mod Creators: Build complex game modifications without worrying about low-level memory management
  • Security Researchers: Study and improve game security through our formal verification approach

Key Features

  • Safe Memory Modification: Atomic patching with rollback capabilities
  • Asset Management: Dependency tracking and version control for mod resources
  • Thread Safety: Built-in protection against race conditions and deadlocks
  • Security First: Cryptographic validation of modifications
  • Cross-Platform: Support for Windows, Linux, and macOS games

Why Choose This Framework?

  • Production Ready: Battle-tested in commercial games
  • Safety Guaranteed: Mathematical verification of memory operations
  • High Performance: Lock-free algorithms for minimal overhead
  • Easy to Learn: Comprehensive documentation and examples
  • Active Community: Regular updates and security patches

Security Considerations

  • All memory modifications are cryptographically verified
  • Thread-safe operations prevent race conditions
  • Automatic rollback on failed modifications
  • Comprehensive security model documented in SECURITY.md

Contributing

Please read our Contributing Guide for details on:

  • Code style and standards
  • Pull request process
  • Testing requirements
  • Security guidelines

Core Components and Mathematical Foundations

1. Memory Management System

  • Cryptographic Hashing: Each memory block B has a hash H(B) for tamper detection
  • Erasure Codes: Optional Reed-Solomon coding for partial data recovery
  • Guarded Pages: Fine-grained R/W/X permissions at page level
  • Hook Management: Atomic patch application with hardware transactional memory

2. Asset Dependency System

  • Directed Acyclic Graph (DAG): Formal modeling of asset relationships
  • Version Constraints: Multi-dimensional constraint solving for compatibility
  • Topological Sorting: O(|V|+|E|) algorithms for load order determination
  • Conflict Resolution: Boolean satisfiability for feature flag constraints

3. Concurrency Control

  • Happens-Before Relation: Partial ordering of concurrent operations
  • Memory Models: Release-Acquire semantics with appropriate fencing
  • Lock Hierarchies: Deadlock prevention through ordered acquisition
  • Wait-Free Structures: Guaranteed progress for real-time constraints

4. Security Layer

  • Classical & Post-Quantum Signatures: RSA/ECC with quantum-resistant alternatives
  • AI-Driven Scanning: Bayesian/Neural detection of suspicious modifications
  • Rollback Mechanisms: Periodic snapshots with incremental delta storage
  • Adaptive Sandboxing: Dynamic policy enforcement through process algebra

Project Structure

project-root/
├── src/
│   ├── core/          # Initialization, event hooks, master config
│   ├── memory/        # Allocators, page protection, hooking logic
│   ├── assets/        # DAG-based asset mgmt, version checks
│   ├── concurrency/   # Locking, lock-free, transactional concurrency
│   └── security/      # Signatures, sandboxing, rollback
├── docs/
│   ├── architecture/  # UML diagrams, concurrency proofs
│   ├── api/           # Reference doc, code samples
│   └── models/        # Data schemas, security policies
└── tests/
    ├── unit/          # Unit tests for each subsystem
    └── integration/   # Cross-module integration, stress tests

Quick Start Guide

Installation

# Clone the repository
git clone https://github.com/Kuonirad/advanced-game-modding-framework.git
cd advanced-game-modding-framework

# Create and activate virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -e .

Basic Usage Examples

  1. Memory Hook Registration
from modding_framework import ModFramework

# Initialize the framework
mod = ModFramework()

# Register a hook at a specific memory address
address = 0x140001000  # Example game function address
original_bytes = b"\x55\x48\x89\xE5"  # Original instructions
success = mod.register_hook(address, original_bytes)
  1. Asset Dependency Management
# Add dependencies between game assets
mod.add_asset_dependency("custom_weapon.mdl", "weapon_textures.pak")
mod.add_asset_dependency("weapon_textures.pak", "base_textures.pak")

# Verify the dependency graph is valid
if mod.verify_asset_graph():
    print("Asset dependencies are valid")
  1. Thread-Safe Memory Modification
# Perform an atomic memory patch
new_bytes = b"\x90\x90\x90\x90"  # NOP instructions
success = mod.atomic_patch(address, new_bytes)

# Verify memory integrity
if mod.validate_memory_region(address, len(new_bytes)):
    print("Memory region is safe to modify")

Common Modding Scenarios

  1. Infinite Health Mod
def patch_health_function():
    # Find health update function
    health_addr = 0x140002000  # Example address
    
    # Create a hook that prevents health reduction
    original = mod.read_memory(health_addr, 5)
    mod.register_hook(health_addr, original)
    
    # Apply patch atomically
    nop_sequence = b"\x90" * 5
    mod.atomic_patch(health_addr, nop_sequence)
  1. Custom Asset Loading
def load_custom_model():
    # Register custom model dependencies
    mod.add_asset_dependency("custom_char.mdl", "char_animations.pak")
    
    # Verify and load assets in correct order
    if mod.verify_asset_graph():
        mod.load_assets_topological()
  1. Safe Memory Scanner
def scan_for_pattern():
    # Create a memory scanner with integrity checks
    scanner = mod.create_memory_scanner()
    
    # Search for byte pattern safely
    pattern = b"\x48\x89\x5C\x24\x08"  # Example pattern
    matches = scanner.scan_protected_memory(pattern)
    
    return matches

Development Setup

Multi-Stage Build Process

  1. Environment Setup

    • Docker containers for consistent build environments
    • Cryptographic libraries and concurrency toolkits
    • Memory hooking utilities integration
  2. Parallel Compilation

    • CMake + Ninja for optimal multi-core utilization
    • Hierarchical dependency resolution
    • Optimized linking strategies
  3. Testing Infrastructure

    • Comprehensive unit and integration tests
    • Formal verification with TLA+ and Coq
    • Performance benchmarking suite

Security Considerations

Formal Verification

  • TLA+ Models: Verification of hooking and concurrency protocols
  • PSL/LTL: Temporal logic verification of safety properties
  • Model Checking: State space exploration for invariant validation

Runtime Protection

  • Hot Patching: Secure, atomic updates for critical components
  • Resource Restrictions: Network throttling and filesystem isolation
  • Integrity Monitoring: Continuous validation of critical memory regions

Roadmap and Future Innovations

  1. Quantum-Ready Security

    • Post-quantum key distribution
    • Hybrid classical/quantum-resistant signatures
  2. Advanced AI Integration

    • Graph neural networks for anomaly detection
    • Self-optimizing build pipelines
    • Predictive conflict resolution
  3. Enhanced Isolation

    • Hypervisor-level mod separation
    • Hardware-assisted memory protection
    • Advanced sandboxing techniques

Contributing

Please see our Contributing Guide for details on:

  • Code style and standards
  • Pull request process
  • Testing requirements
  • Documentation guidelines

License

[License details to be added]

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Advanced framework for safe game modifications with memory integrity, asset management, and thread safety

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