game-playtest

game-playtest is a skill for Codex from fanfan-de/anybox. It costs 44 tokens per session (582 once invoked), scanned A, original, MIT.

A browser-game testing guide that checks startup, controls, scene changes, interface readability, and visible game states. It uses browser automation and screenshots when possible, so testing covers what players actually see.

In plain words
What is it for?
Use it for smoke tests, browser automation, screenshot checks, HUD and overlay reviews, and structured bug finding in browser games.
Why use it?
It catches visual and interaction problems that checking page markup alone can miss. It also organises findings by severity and includes steps for reproducing issues.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it for smoke tests, browser automation, screenshot checks, HUD and overlay reviews, and structured bug finding in browser games.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fanfan-de/anybox/game-playtest
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add fanfan-de/anybox --skill game-playtest
Clone the repo
git clone --depth 1 https://github.com/fanfan-de/anybox

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for game-playtest

README.md
[![agentmods](https://agentmods.dev/badge/skills/fanfan-de/anybox/game-playtest/github.svg)](https://agentmods.dev/skills/fanfan-de/anybox/game-playtest)
Your own site
<a href="https://agentmods.dev/skills/fanfan-de/anybox/game-playtest"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/game-playtest/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for game-playtest

Your own site · 80×15
<a href="https://agentmods.dev/skills/fanfan-de/anybox/game-playtest"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/game-playtest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 582 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.00582
Opus 5 $0.00022 $0.00291
Sonnet 5 $0.00009 $0.00116
Haiku 4.5 $0.00004 $0.00058

Measured 9d ago against content hash 413f2453c602, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

game-playtest scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/Anybox-Plugins/game-studio/skills/game-playtest/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

  1. Boot the game and confirm the first actionable screen.
  2. Exercise the main verbs.
  3. Capture screenshots from representative states.
  4. Check the UI layer independently from the render layer.
  5. 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

Read the full file on GitHub · 77 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 77 lines · 44 tokens per session scan A 413f2453c602

Subscribe to this mod's changes

game-playtest is a skill published in the GitHub repository fanfan-de/anybox (57 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 582 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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