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Crash Bandicoot: The Wrath of Cortex
PORTSNATIVE

Crash Bandicoot: The Wrath of Cortex

PORT NATIVOPLATAFORMASWINDOWSALPHA

Crash Bandicoot: The Wrath of Cortex

OrigenNintendo GameCube

TecnologíaDescompilación y Reconstrucción en C/C++

Disponible paraWindows

Ver proyecto oficial

Sobre el proyecto

Crash Bandicoot: The Wrath of Cortex es un videojuego de plataformas desarrollado por Traveller's Tales y publicado por Universal Interactive Studios. Se lanzó por primera vez para PlayStation 2 y luego se trasladó a Xbox y GameCube, y Eurocom desarrolló la versión de GameCube. Es la cuarta entrega principal y la sexta en general de la serie de videojuegos Crash Bandicoot, siendo la primera de la serie que no se lanza únicamente para una consola PlayStation.

3 versiones de Crash Bandicoot: The Wrath of Cortex

Estás viendo: Crash Bandicoot: The Wrath of Cortex

Crash Bandicoot: The Wrath of Cortexgithub.com/denzi-gh/crashwoc-decomp-gc
Windows
Actual
Crash Bandicoot: The Wrath of Cortex (calmsacibis995)github.com/calmsacibis995/crash-ps2
Windows
›
Crash Bandicoot: The Wrath of Cortex (PS2)github.com/denzi-gh/crashwoc-decomp-ps2
Windows
›

Información oficial del proyecto

README original del autor (en inglés)Abrir en GitHub ↗

Crash Bandicoot: The Wrath of Cortex (GameCube) Build Status Code Progress Data Progress Discord Badge

A work-in-progress decompilation of Crash Bandicoot: The Wrath of Cortex for GameCube.

This repository does not contain game assets. You must provide your own dumped game files.

Supported versions:

  • GCBE7D: Rev 0 (USA)

Dependencies

Windows

On Windows, native tooling is the intended local setup.

  • Install Python and add it to PATH.
  • Install ninja and add it to PATH.
    • Quick install: pip install ninja
  • Install Git.

Most project tools are downloaded automatically on first configure:

  • decomp-toolkit
  • objdiff-cli
  • binutils
  • compiler packages

Linux / macOS

Local development is primarily tested on Windows. CI uses a private Linux container for protected build assets and compiler execution.

Building

  • Clone the repository:

    git clone https://github.com/denzi-gh/crashwoc-decomp.git
    cd crashwoc-decomp
    
  • Provide the original game executable:

    orig/GCBE7D/sys/main.dol
    

    Expected SHA-1:

    c9cbd49a9eb0006f55533eb7d0fb5ebe2a73b72f
    
  • Configure:

    python configure.py --version GCBE7D --toolchain prodg35
    
  • Build:

    ninja
    

Project layout

  • config/GCBE7D/splits.txt: object and section ownership for the retail DOL
  • config/GCBE7D/symbols.txt: validated symbol names
  • config/GCBE7D/ldscript.ld: checked-in ProDG linker script
  • src/: recovered source tree
  • orig/GCBE7D/: required original game files

Diffing

Once the initial build succeeds, objdiff.json will be generated in the project root.

Download the latest release from encounter/objdiff. Set the project directory to this repository and the configuration should load automatically.

AI-assisted workflows

Repository AI guidance lives in:

  • AGENTS.md
  • .github/copilot-instructions.md
  • .github/instructions/*.instructions.md
  • .github/prompts/match-unit.prompt.md

Repo-local helper commands include:

  • python tools/ai_context.py <symbol-or-unit>
  • python tools/ai_lookup_symbol.py <symbol-or-address>
  • python tools/ai_lookup_unit.py <unit-or-path>
  • python tools/ai_match_plan.py <unit-or-path>

Provider-neutral task packs (preferred)

The same decompilation task can be driven by any agent (Codex, Claude Code, Aider, GitHub Copilot, Gemini, local models, or browser ChatGPT) via a self-contained task pack:

python tools/ai_task.py unit src/gamecode/crate.c
python tools/ai_run.py --backend print .ai/tasks/<task>

python tools/ai_task.py writes .ai/tasks/<timestamp>-<target>/ containing task.json (canonical task), prompt.md, context.md, verify.sh, and notes.md. It also supports function <symbol-or-address> and decompme <zip-or-dir> modes.

Browser ChatGPT / unsupported agents:

  1. Generate a task pack with python tools/ai_task.py.
  2. Run python tools/ai_run.py --backend print <task>.
  3. Paste the combined prompt/context into the browser agent.
  4. Apply the suggested changes locally.
  5. Verify locally with sh <task>/verify.sh.

When a local CLI is available, use it directly: python tools/ai_run.py --backend copilot <task> (or codex/claude/aider/gemini). The task-pack skill under tools/skills/ documents this loop.

MCP clients can connect to the read-only repo-index tools via the stdlib JSON-RPC stdio server: python tools/mcp_decomp.py serve (use list to inspect the tool surface).

GitHub Copilot (compatibility)

The original command still works and now builds a unit task pack before launching Copilot:

python tools/ai_launch_copilot.py src/gamecode/crate.c

Use --no-launch --print-prompt if you only want the generated prompt text.

Please always review AI generated Code. The workflows are designed in way that prevents the AI to generate slop like inline Assembly and compiler specific patterns that no human would write but you never know!

Pull Requests

Pull requests are welcome.

For build or decomp changes, keep them focused and include:

  • what changed
  • what was verified locally
  • whether matching, build behavior, or tooling behavior changed

Community

Discord: https://discord.gg/kmCPpW4KvJ

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FICHA DEL PROYECTO

Tipo de proyecto
PORT NATIVO
Género
Plataformas
Estado
alpha
Plataforma de origen
Nintendo GameCube
Tecnología
Descompilación y Reconstrucción en C/C++
Versión
—
Actualización
—

Plataformas de destino 1

Windows
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