mcpbeat

Game Playtest

openai/game-playtest

Run browser-game playtests and frontend QA. Use when the user asks for smoke tests, screenshot-based verification, browser automation, HUD or overlay review, or structured issue-finding in a browser game.

784 tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
4915
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/openai/plugins --skill game-playtest

What comes with it

225 bytes besides the instruction
agents/openai.yaml

The instruction itself

10 sections, as written by the author

Game Playtest

Overview

Use this skill to test browser games the way players experience them: through boot, input, scene transitions, HUD readability, and visual state changes. Prefer browser automation and screenshot review when the project supports it.

Preferred Workflow

  • Boot the game and confirm the first actionable screen.
  • Exercise the main verbs.
  • Capture screenshots from representative states.
  • Check the UI layer independently from the render layer.
  • Report findings in severity order with reproduction steps.

Tooling Guidance

  • Prefer Playwright or equivalent browser automation already available in the repo.
  • When the game is canvas or WebGL heavy, screenshots are mandatory because DOM assertions alone miss visual regressions.
  • Use screenshots to judge playfield obstruction and HUD weight, not just correctness of text or layout.
  • When deterministic automation is not practical, do a structured manual pass and capture evidence.
  • For 3D rendering bugs or unexplained frame cost, use SpectorJS and browser performance tooling rather than guessing from code alone.

Common Checks

2D checks

  • sprite alignment and baseline consistency
  • hit or hurt animation readability
  • HUD overlap with the playfield
  • command menu state changes
  • tile or platform readability
  • input-state feedback and turn-state clarity

3D checks

  • first-load playability versus dashboard-like chrome
  • persistent overlay weight versus playfield visibility
  • camera control and camera reset behavior
  • pointer-lock or drag-look transitions when menus and overlays open
  • depth readability and silhouette clarity
  • secondary panels collapsed or dismissible during normal play
  • resize behavior
  • WebGL context loss or renderer fallback behavior
  • material or lighting regressions
  • GLB or texture streaming stalls
  • collision proxy or physics mismatch
  • performance cliffs tied to post-processing or asset load

Responsive and Browser Checks

  • desktop and mobile viewport sanity
  • safe-area and notch issues where relevant
  • reduced-motion behavior for UI transitions
  • keyboard, pointer, and pause-state handling
  • React state and scene state synchronization when the project uses React Three Fiber

Reporting Standard

Lead with findings. Keep each finding concrete:

  • what the user sees
  • how to reproduce it
  • why it matters
  • what likely subsystem owns it

References

  • Shared architecture: ../web-game-foundations/SKILL.md
  • Frontend review cues: ../game-ui-frontend/SKILL.md
  • 3D debugging notes: ../../references/webgl-debugging-and-performance.md
  • Full checklist: ../../references/playtest-checklist.md

How to use it

Copy the folder

Take openai/game-playtest from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.