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NFTs & Gaming

Treat Toolbox

Treat Toolbox is an open-source, web-based utility for managing generative-art NFT projects. It combines layered PNGs associated with user-defined traits and rarity values to create artwork and metadata pairs for use with Metaplex Candy Machine, with a workflow designed to be usable by non-technical team members.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Treat Toolbox — OpenViST project profile in NFTs & Gaming.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it during generative collection preparation when artwork layers, trait and rarity definitions, and Candy Machine-oriented exports need to be managed together.

Who it is for

  • Artists preparing layered artwork for a generative NFT collection
  • Project teams defining traits and rarity values
  • Solana collection creators preparing PNG-and-JSON assets for Metaplex Candy Machine

Documented uses

  • Organize image layers, traits and trait values for a generative-art project.
  • Set rarities and generate collection compositions while avoiding duplicates and known artwork conflicts.
  • Export artwork and metadata as PNG-and-JSON pairs for Candy Machine setup.
Before you choose

Requirements & limits

The project documentation describes a locally run web app using Firebase emulators; it lists npm, Node.js v14 and a Java runtime as prerequisites.

  • The documented export is PNG artwork paired with JSON metadata for Metaplex Candy Machine.
  • The current documented operating model requires local setup and Firebase emulators.
  • The repository identifies the software as open source under the AGPL-3.0 license.
  • The README describes error reporting as limited.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up Treat Toolbox locally

Configure Firebase emulators and start the local Treat Toolbox web app.

Before you start

  • npm, Node.js v14 and a Java runtime
  • Firebase CLI and a Firebase project with Firestore, Functions and Storage configured
  • The Treat Toolbox repository checked out locally

Steps

  1. Register a Firebase web app and put its provided configuration values in the repository’s .env file.

  2. Run firebase login, then firebase init in the repository root; select Firestore, Functions, Storage and Emulators, preserving the existing configuration files as directed in the README.

  3. Install the Functions dependencies and start the emulators with npm install --prefix=functions and npm run serve --prefix=functions.

  4. Copy the local Functions API URL printed by the emulator into NEXT_PUBLIC_FIREBASE_FUNCTIONS_API_ENDPOINT in .env.

  5. In a separate terminal, run npm install and npm run dev from the repository root, then open http://localhost:3000.

Expected outcome

The local web app opens in a browser while Firebase emulator services provide its backing data and file storage.

Guide limitations

  • This is a local setup, not a hosted deployment.
  • The README says robust error reporting is lacking; troubleshooting may involve checking the emulator and frontend terminals or the browser console.
  • Firebase setup and configuration are required before starting the app.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
16 October 2026
Original website title
theskeletoncrew/treat-toolbox · Official homepage title · retained in its source language
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