Claude Code Game Studios is a setup that organizes Claude Code into a coordinated game-development team of specialized AI agents. It supports game projects across design, programming, art, audio, narrative, quality assurance, and production, with skills and workflows for coordinating that work.
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.
npx skills add Donchitos/Claude-Code-Game-Studios --skill design-reviewgit clone --depth 1 https://github.com/Donchitos/Claude-Code-Game-StudiosWrote 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.
[](https://agentmods.dev/skills/donchitos/claude-code-game-studios/design-review)<a href="https://agentmods.dev/skills/donchitos/claude-code-game-studios/design-review"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/design-review/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.
<a href="https://agentmods.dev/skills/donchitos/claude-code-game-studios/design-review"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/design-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 7 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.03233 |
| Opus 5 | $0.00017 | $0.01617 |
| Sonnet 5 | $0.00007 | $0.00647 |
| Haiku 4.5 | $0.00003 | $0.00323 |
Grade A, and why
design-review 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 5d 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.
Copies of this mod
4 near-identical copies found in the catalogue:
- design-review — 97% identical, 7 lines differ
- design-review — 89% identical, 19 lines differ
- design-review — 86% identical, 50 lines differ
- design-review — 83% identical, 37 lines differ
How it starts
The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase 0: Parse Arguments
Extract --depth [full|lean|solo] if present. Default is full when no flag is given.
Note: --depth controls the analysis depth of this skill (how many specialist agents are spawned). It is independent of the global review mode in production/review-mode.txt, which controls director gate spawning. These are two different concepts — --depth is about how thoroughly this skill analyses the document.
full: Complete review — all phases + specialist agent delegation (Phase 3b)lean: All phases, no specialist agents — faster, single-session analysissolo: Phases 1-4 only, no delegation, no Phase 5 next-step prompt — use when called from within another skill
Phase 1: Load Documents
Read the target design document in full. Read CLAUDE.md to understand project context and standards. Read related design documents referenced or implied by the target doc (check design/gdd/ for related systems).
Dependency graph validation: For every system listed in the Dependencies section, use Glob to check whether its GDD file exists in design/gdd/. Flag any that don't exist yet — these are broken references that downstream authors will hit.
Lore/narrative alignment: If design/gdd/game-concept.md or any file in design/narrative/ exists, read it. Note any mechanical choices in this GDD that contradict established world rules, tone, or design pillars. Pass this context to game-designer in Phase 3b.
Prior review check: Check whether design/gdd/reviews/[doc-name]-review-log.md exists. If it does, read the most recent entry — note what verdict was given and what blocking items were listed. This session is a re-review; track whether prior items were addressed.
Phase 2: Completeness Check
Evaluate against the Design Document Standard checklist:
- Has Overview section (one-paragraph summary)
- Has Player Fantasy section (intended feeling)
- Has Detailed Rules section (unambiguous mechanics)
- Has Formulas section (all math defined with variables)
- Has Edge Cases section (unusual situations handled)
- Has Dependencies section (other systems listed)
- Has Tuning Knobs section (configurable values identified)
- Has Acceptance Criteria section (testable success conditions)
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.
- 5d ago First seen · 269 lines · 34 tokens per session scan A 3f9119c2ecc3
design-review is a skill published in the GitHub repository Donchitos/Claude-Code-Game-Studios (24,914 stars, last pushed 3mo ago), licensed MIT. It adds 34 tokens to every session and 3,233 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.
Other skills, from other repositories
media-higgsfield-assets
A Higgsfield workflow for creating or processing media beyond ordinary image and video generation. It covers 3D GLB models, rigging and animation, audio, video analysis, upscaling, reframing, outpainting, and background removal.
game-concept-architect
A structured method for turning a one-sentence game idea into a testable design plan, covering player actions, the core loop, scope, assumptions, and validation.
achievements
Steam-style achievement system with XP, levels, streaks, and skill trees. Gamifies the development workflow. 25 achievements across 5 categories.
scene-architecture
Use when designing scene structure — single vs additive loading, bootstrap patterns, scene transitions, persistent managers, DontDestroyOnLoad decisions, and streaming world setups.
unity-ecs
Use when considering ECS/DOTS architecture — when to use ECS vs MonoBehaviour, Burst compiler, Job System, hybrid approaches, and migration strategies from MonoBehaviour to ECS.
unity-networking
Use when adding multiplayer or networked features — Netcode for GameObjects vs Mirror vs Fishnet decisions, authority models, state synchronization, lobby systems, and network architecture patterns.