DSH Game Studio

Describe a small game in one sentence — play it in the sidebar of a DeepSeek Harness conversation, swap in AI art, export one HTML file.
_{10 agent tools • live sidebar preview • 2D and 3D voxel templates • OpenAI or Codex art with a cost check first • self-playing playtests • version history • one-file export}

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_{Package: @zseven-w/dsh-game-studio · Current plugin release: 0.1.0-rc.5 · Tested with DSH 0.2.1-rc.5}
🎮 Live Demo Game Wall (10 playable 2D & 3D games) · _{Subscribe in Online Sources: finiking/dsh-games}

_{The game plays in the right sidebar while the agent works; numbered AI art candidates wait under it for you to pick}

Why DSH Game Studio

Ask the agent for a game in plain words — "a 3D game: a red panda collects bamboo shoots in a forest and dodges wild boars" — and it builds one from a template, plays it to check it works, and shows it in a sidebar you can play right away. Characters start as code-drawn models; when you want real art, the agent generates candidates with OpenAI or your Codex sign-in, you pick one by number, and the game swaps it in. Every change is a version you can go back to, and the finished game exports as a single offline HTML file.

Games made with it

🎮 Try 10 test games live in your browser (desktop or mobile): finiking.github.io/dsh-games/wall — or enter finiking/dsh-games under Online sources in your local Game Wall to subscribe and play them in your sidebar.

Four games from our test runs. Each started from the one sentence under it, in a fresh session (prompts translated from Chinese); later requests in the same session tweaked some of them, as noted. Gameplay is recorded with each game's own autoplay.

_{Moonlit Fox: Lantern Isle — 3D voxel template, live gameplay}

“Make a small game: a little fox collects lanterns in a moonlit forest and dodges thorn monsters.” 2D template; characters later swapped for picked AI art	“Make a 3D game: a little fox collects lanterns on a voxel island and dodges thorn monsters.” 3D voxel template; the lantern model was redone in a later request
“Make a 3D game: a little penguin collects fish on an iceberg and dodges seals.” 3D; a later request added the red hat	“Make a 3D game: a red panda collects bamboo shoots in a bamboo forest and dodges wild boars.” 3D; characters later swapped for AI art, the forest stays 3D

How well it works

Measured in a real DSH with DeepSeek-V4.1-Flash, each game made from one sentence in a fresh session, scored by an independent playtest (2026-11-04/05):

• Collect-and-dodge games (the templates' home ground): 10 of 10 different requests were playable on the first try, median about 14 minutes per game.
• Other genres — match-3, box pushing, tower defense, basketball, platformer, rhythm, racing, card battle, farming, café management: all 10 came out playable, but took a median of about 26 minutes. After adding __autoplay, custom art slots and landscape support, four of them were rerun and took 8–18 minutes. The sample is small.

Tools

The sidebar's buttons (apply, revert, build, export, restore, share, publish) call the same operations through the /game-studio command.

Image services and spending

imageProvider: auto (the default) uses OpenAI when its key is set and Codex otherwise. With confirmSpending on (the default) nothing is generated until you approve the card. Sprites are checked for a transparent background and framing and fitted to the slot before they are offered.

Security and privacy

• Games run in a sandboxed iframe with a content security policy that blocks network access; exported files make no network requests.
• The only things sent off your machine are the prompts — and the reference picture, if you give one — to the image service you choose.
• The share link is read-only, serves just that game's build, and closes after the time you set (30 minutes by default). Local links listen on your local network only; public links listen on 127.0.0.1 only and tunnel through Cloudflare (trycloudflare.com) after you approve.
• Publishing to GitHub Pages (game_studio_publish) uses your local signed-in gh CLI (the plugin never touches your GitHub token), uploads only the built HTML to a public repository after you approve, and refuses to write to any existing repository that does not carry its .dsh-game-studio.json marker.
• Online game sources run on the provider's own site inside a sandboxed iframe (sandbox="allow-scripts") without access to DSH or your workspace, and are never copied or forwarded when exporting or publishing your local game wall.
• API keys are read from DSH credentials or the environment and are never written into projects, logs or tool results.

Requirements

• DeepSeek Harness 0.2.1 or later (web or desktop), Node.js 24.11 or later.
• Google Chrome or Microsoft Edge on the same computer for playtests.
• For AI art, either an OpenAI API key or the Codex CLI signed in. Without either, games still work with their code-drawn characters.
• Optional: cloudflared (brew install cloudflared on macOS) for temporary public share links; gh (brew install gh and gh auth login) for publishing to GitHub Pages.

Install into DSH

Install from npm into a DSH profile:

dsh plugin --profile web add @zseven-w/dsh-game-studio@latest
dsh web

Quick start

Open a session in a workspace folder and ask, for example:

• Make a small game: a kitten steals dried fish in a kitchen without bumping into the robot vacuum.
• Make a 3D game: a little knight collects coins in a castle and avoids skeletons; collecting 20 coins in 60 seconds wins.
• Make a match-3 game on a 6×6 grid; reach 1000 points in 60 seconds to win.

Then try:

• Generate 2 new pieces of art for the hero with AI; I'll pick in the sidebar.
• Follow the picture I attached for the hero's look.
• Export it as a single HTML file.

Configuration

Set these under config in your profile's cordis.patch.yml:

Game project format

Each game is a plain folder in your workspace:

• game.json — title, art style, orientation, art slots and rules. Rules are free-form: any key is passed to the game as window.GAME.rules.
• game.js — the game code the agent edits. It exposes window.__gameState() for playtests, optionally window.__autoplay(state) for games not steered with arrow keys, and window.__renderSlots(size) so the sidebar shows characters drawn in code (the 2D template draws them in drawCharacter()).
• assets/ — the picture for each slot plus ASSETS.json, the record of where each one came from. You can draw over a slot's file directly; the studio records it as your edit.
• dist/index.html — the current build; .studio/ holds versions, candidates and playtest runs.

Development

npm ci
npm run build   # lib/index.js, lib/client.js and the bundled three.js runtime
npm test        # node --test; playtest tests are skipped when no Chrome or Edge is found

Ecosystem

• DSH Crew — dispatch work to DSH agents from Claude Code / Codex
• DSH iOS — a live iOS Simulator or USB iPhone inside the conversation
• DSH Android — a live Android emulator or USB device inside the conversation
• DSH Noema — long-term memory for DSH
• DSH OpenPencil — inspect and edit .op design documents inside a conversation

Credits & License

• three.js — the 3D runtime bundled into voxel games (MIT).
• qrcode-generator — Kazuhiko Arase — the QR code in the sidebar's share panel (MIT).
• Playwright (playwright-core) — drives the browser for playtests (Apache-2.0; runtime dependency).
• The templates, sprites and voxel models are original to this project.
• See THIRD_PARTY_NOTICES.md for the full notices.

License: MIT