Threejs Gameplay Systems
valkor-ai/loom
Build and iterate playable Three.js game systems: starter scaffold, architecture, design briefs, core loops, level and encounter design, entities, input, camera, collision and physics, scoring…
Create and revise original board or card games from a person's idea, with editable mechanics and components, real human playtests, reproducible simulations and a complete playable and printable kit.
Install Game
$ npx skills add autonomous-ai/openharness --skill game -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install autonomous-ai/openharness game --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/store/agents/game-master/skills/game .claude/skills/game && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "game" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/game-master/skills/game into .claude/skills/game/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "game", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/autonomous-ai/openharness/tree/main/store/agents/game-master/skills/gameType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add autonomous-ai/openharness --skill game -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install autonomous-ai/openharness game --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .agents/skills && cp -r skills-src/store/agents/game-master/skills/game .agents/skills/game && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "game" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/game-master/skills/game into .agents/skills/game/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "game", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add autonomous-ai/openharness --skill game -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install autonomous-ai/openharness game --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/store/agents/game-master/skills/game .cursor/skills/game && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "game" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/game-master/skills/game into .cursor/skills/game/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "game", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/autonomous-ai/openharness.git --path store/agents/game-master/skills/game--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add autonomous-ai/openharness --skill game -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install autonomous-ai/openharness game --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/store/agents/game-master/skills/game .gemini/skills/game && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "game" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/game-master/skills/game into .gemini/skills/game/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "game", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install autonomous-ai/openharness gameInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add autonomous-ai/openharness --skill game -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .github/skills && cp -r skills-src/store/agents/game-master/skills/game .github/skills/game && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "game" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/game-master/skills/game into .github/skills/game/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "game", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add autonomous-ai/openharness --skill game -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install autonomous-ai/openharness game --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/store/agents/game-master/skills/game .opencode/skills/game && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "game" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/game-master/skills/game into .opencode/skills/game/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "game", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
game- GitHub stars
- 1.1k
- Token cost
- ~676 tokens
- SKILL.md length
- 322 words
- Files
- 3 (incl. scripts, references)
- Skills in repo
- 100
- Repo updated
- First seen
- Licence
- MIT
At a glance
Create and revise original board or card games from a person's idea, with editable mechanics and components, real human playtests, reproducible simulations and a complete playable and printable kit.
- Tabletop game design
- Runs Shell scripts from its folder; calls node
- Cooperative puzzles
- Push-your-luck systems and new rules beyond the example game
What it does
Game is an agent skill from autonomous-ai/openharness. Create and revise original board or card games from a person's idea, with editable mechanics and components, real human playtests, reproducible simulations and a complete playable and printable kit. Use for tabletop game design, card drafting, cooperative puzzles, push-your-luck systems and new rules beyond the example game.
Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/project.md` and `scripts/seed-verdict.sh`).
It sits in Game Development, covering Game design. The repository describes itself as: The ultimate harness for coding agents and beyond. All your agents. All your machines. One command center. Start with code, then follow your curiosity and build across… The licence is MIT.
When your agent uses it
- Tabletop game design
- Cooperative puzzles
- Push-your-luck systems and new rules beyond the example game
Example prompts
- “/game”
Requirements
- A Bash shell
What it can do on your machine
Read from SKILL.md and the folder at commit 50da5db. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
node
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Game loads about 676 tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 322 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from autonomous-ai/openharness at commit 50da5db, republished under its MIT licence (© autonomous-ai). 322 words, ~676 tokens.
Download SKILL.mdSave it as
.claude/skills/game/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- game
- description
- Create and revise original board or card games from a person's idea, with editable mechanics and components, real human playtests, reproducible simulations and a complete playable and printable kit. Use for tabletop game design, card drafting, cooperative puzzles, push-your-luck systems and new rules beyond the example game.
Create a game people can play
Read the workspace and project contract. Preserve working source,
approved components and the person's decisions. Use the coding agent to author original mechanics
in game/rules.mjs and their physical components/rulebook in game/project.json.
Build an end-to-end game: setup, meaningful choices, chance if any, visible consequences, scoring, ties and an ending. Any style of self-contained component face can be embedded as original or supplied SVG/PNG/JPEG/WebP artwork. Numeric settings are explicitly authored design parameters; there is no fixed genre enum or fake generation button. Do not make people write the JavaScript.
Run node tools/build.mjs, then play the actual game in the viewer. The person can edit cards,
quantities, values, color, artwork and rulebook; lock approved components; save source; undo edits;
and apply a new edition while retaining the old playable game and replay. Keep these capabilities
when adapting the renderer for the user's brief. For a different presentation, change the studio
source deliberately and recheck its exports and accessibility.
Run node tools/check.mjs --seeds 80. Its uniform-choice simulations measure only the supplied
seeds and policy. An optional authored bot receives observations and legal actions, not hidden
state. Compare distributions with clear policy names; never imply that automated play proves fun,
fairness, human strategy or commercial quality.
Play real decisions to an outcome, including losing paths if present. Test restart, saved replay,
a targeted revision and preserved approved material. Export with node tools/export.mjs delivery.
Open the offline HTML and print outputs independently. Check every physical design, dimensions,
copy count, text, actual-size calibration and rulebook agreement. PDFs come from the same SVG
sheets; print at 100%, without browser headers or footers. Backs are separate for gluing/sleeves.
Record observed evidence and remaining scope in game/DESIGN.md and .harness/verdict.json.
Presence/build helpers keep ready:false. Write ready:true only after the user's promised
workflow and actual delivery checks pass. Do not claim installed-agent or customer trials unless
those exact trials occurred. Preserve the original arena code and existing workspaces.
© autonomous-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (scripts, references) in store/agents/game-master/skills/game of autonomous-ai/openharness.
- SKILL.md
- references/project.md
- scripts/seed-verdict.sh
Open the folder on GitHubat commit 50da5db
Compare with similar skills
Game next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Game this skillautonomous-ai/openharness | 1.1k | — | ~676 | Automated safety check: Pass | MIT | |
| Threejs Gameplay Systemsvalkor-ai/loom | 1.2k | 1 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Godot Gdscript Patterns925236118/AlphaAgent | 103 | 10 repos | ~5k | Automated safety check: Pass | MIT | |
| Novel Game Adaptation Analysiszenstory-ai/novel-to-game | 834 | 1 repos | ~558 | Automated safety check: Pass | MIT | |
| Game Asset Spec WriterDonchitos/Claude-Code-Game-Studios | 26k | — | ~5k | Automated safety check: Pass | MIT | |
| Game Balance CheckDonchitos/Claude-Code-Game-Studios | 26k | — | ~2.2k | Automated safety check: Pass | MIT |
Similar skills
Godot Gdscript Patterns
925236118/AlphaAgent
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Novel Game Adaptation Analysis
zenstory-ai/novel-to-game
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Game Asset Spec Writer
Donchitos/Claude-Code-Game-Studios
Writes per-asset visual specs and AI image-generation prompts for a game's characters, enemies and screens, driven by the GDD, art bible and an entity inventory.
Game Balance Check
Donchitos/Claude-Code-Game-Studios
Checks game data and formulas for balance outliers, broken progression, degenerate strategies and economy problems, and answers 'could not run' when the data is missing.
Game Experience Density Optimizer
DY-2026/GameDesignOS
当用户需要把游戏体验浓度、留存、首局节奏、Demo 完成率、单机总旅程、D1/D7、反馈、具身感、氛围、认知负荷、最佳刺激窗口、FEP/free-energy、预测误差、Markov blanket、习惯化或 liveops 参与问题，编译成可上线、可埋点、可复盘、可回滚的一周 ED 实验包时使用。Use when converting game experience-density and…
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Related
Categories
Questions about Game
What does Game do?
Create and revise original board or card games from a person's idea, with editable mechanics and components, real human playtests, reproducible simulations and a complete playable and printable kit. Game is an agent skill from autonomous-ai/openharness. Create and revise original board or card games from a person's idea, with editable mechanics and components, real human playtests, reproducible simulations and a complete playable and printable kit.
When should I use Game?
Game fits situations like: tabletop game design; cooperative puzzles; push-your-luck systems and new rules beyond the example game.
How do I install Game in Claude Code?
Run `npx skills add autonomous-ai/openharness --skill game -a claude-code`. Or copy the skill folder (store/agents/game-master/skills/game in autonomous-ai/openharness) into .claude/skills/game in your project. Claude Code loads it when a task matches its description.
How do I install Game in Codex?
Run `npx skills add autonomous-ai/openharness --skill game -a codex`. Or copy the skill folder (store/agents/game-master/skills/game in autonomous-ai/openharness) into .agents/skills/game in your project. Codex loads it when a task matches its description.
Can I use Game in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add autonomous-ai/openharness --skill game -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/game, .gemini/skills/game, .github/skills/game and .opencode/skills/game in your project.
What does Game need to run?
Going by SKILL.md and its folder, Game needs a shell for the scripts in its folder and the command-line tools its instructions call (node). Our summary lists: A Bash shell.
Does Game access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Game safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Game use?
Game is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Game use?
About 676 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.5k tokens, read only when the agent opens those files.
What are the alternatives to Game?
Skills that share tags, products or a category with Game: Threejs Gameplay Systems (valkor-ai/loom, 1.2k stars), Godot Gdscript Patterns (925236118/AlphaAgent, 103 stars), Novel Game Adaptation Analysis (zenstory-ai/novel-to-game, 834 stars) and Game Asset Spec Writer (Donchitos/Claude-Code-Game-Studios, 26k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Game?
autonomous-ai (a GitHub organization) maintains it in autonomous-ai/openharness, which has 1,149 GitHub stars. The repository holds 100 skills in this directory. The repository was last updated on October 8, 2026.
Source: autonomous-ai/openharness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.