Cardboard

Package data packs with resource packs as mods for Forge, Fabric and Quilt

Prerequisits

1. You need to have Python installed
2. Install PyYaml using

   pip install PyYaml

Packaging a data pack

1. Make sure that your data pack is a .zip-file with the pack.mcmeta in the top-most level
2. Both the data and assets folder should also be in the top-level of the zip-file
3. Drag the data pack's zip-file onto cardboard.py
   • optionally select the zip-file and a config-file, applying both directly
4. Follow the instructions in your terminal

In the same location as your data pack, a jar-file with the same name will be created

This is the data pack packaged as a mod that works with Forge, Fabric and Quilt

Note: Loading the mod using Fabric or Quilt requires Fabric API or Quilted Fabric API

Config

When converting a data pack, you will be prompted to provide some more information to be included in files for the mod loaders

Config option	Default	Explanation
name	Filename	The human readable name of your pack
id	Filename with limited charset	The internal unique name of your pack
description	Description in pack.mcmeta	A short description
version	1.0.0	The version of the pack
authors	empty	Who made the pack, separate multiple using commas
license	All rights reserved	A license or a link to a license
homepage	empty	The packs homepage or projectpage
issues	empty	A link to the issue tracker of this pack
sources	empty	A link to the open sources of this pack

You can also provide a .yml- or .yaml-file that includes these options as keys

Any key that is not included in the config will be set to it's default