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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Donchitos/Claude-Code-Game-Studiosnpx agentmods add skills/donchitos/claude-code-game-studios/architecture-reviewWrote 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/architecture-review)<a href="https://agentmods.dev/skills/donchitos/claude-code-game-studios/architecture-review"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/architecture-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/architecture-review"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/architecture-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 8 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 | $0.00038 | $0.01502 |
| Opus 5.5 | $0.00015 | $0.00601 |
| Sonnet 5.5 | $0.00008 | $0.00300 |
| Haiku 4.5 | $0.00004 | $0.00150 |
Grade A, and why
architecture-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
4 near-identical copies found in the catalogue:
- architecture-review — 100% identical, 629 lines differ
- architecture-review — 88% identical, 622 lines differ
- architecture-review — 86% identical, 620 lines differ
- architecture-review — 86% identical, 620 lines differ
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
!bash "${CLAUDE_SKILL_DIR}/../../hooks/yaml-helper.sh" resolve_config --keys automation,workflow
Architecture Review
The architecture review validates that the complete body of architectural decisions covers all game design requirements, is internally consistent, and correctly targets the project's pinned engine version. It is the quality gate between Technical Setup and Pre-Production.
Argument modes:
- No argument /
full: Full review — all phases coverage: Traceability only — which GDD requirements have no ADRconsistency: Cross-ADR conflict detection onlyengine: Engine compatibility audit onlysingle-gdd [path]: Review architecture coverage for one specific GDDrtm: Requirements Traceability Matrix — extends the standard matrix to include story file paths and test file paths; outputsdocs/architecture/requirements-traceability.mdwith the full GDD requirement → ADR → Story → Test chain. Use in Production phase when stories and tests exist.
Every AskUserQuestion call follows .claude/docs/automation-modes.md
(collaborative asks always · guided major-only · autonomous logs and proceeds;
automation_always_ask categories always prompt).
workflow (see .claude/docs/workflow-modes.md):
full— full traceability matrix across all GDDs and all ADRs.standard— reduced scope: architecture doc + critical ADRs only.minimal— not applicable (no architecture doc required).
Phase 1: Load Everything
Read references/1-load.md now and follow it — this phase's steps are in that file, not here. Read it again if the conversation was compacted or resumed during this phase.
Phase 2: Extract Technical Requirements from Every GDD
Read references/2-extract-requirements.md now and follow it — this phase's steps are in that file, not here. Read it again if the conversation was compacted or resumed during this phase.
Phase 3: Build the Traceability Matrix
Read references/3-traceability.md now and follow it — this phase's steps are in that file, not here. Read it again if the conversation was compacted or resumed during this phase.
What ships with it
9 files 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.
- references/1-load.md 9.9 KB
- references/2-extract-requirements.md 3.4 KB
- references/3-traceability.md 5.8 KB
- references/4-conflicts.md 3.9 KB
- references/5-engine.md 5.6 KB
- references/6-document-coverage.md 1.0 KB
- references/7-report.md 3.7 KB
- references/8-write.md 8.3 KB
- references/9-handoff.md 2.0 KB
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.
- 3d ago Changed 0219e6c2545a
- 14d ago Changed · -754 lines edc9187103bf
- 23d ago Changed · +16 lines a08fbede25d5
- 28d ago Changed 9bb553d97cbc
- 29d ago Changed · +188 lines · -33 tokens per session d9310924c656
- 1mo ago First seen · 666 lines · 71 tokens per session scan A 11fd3ee30b6c
architecture-review is a skill published in the GitHub repository Donchitos/Claude-Code-Game-Studios (27,186 stars, last pushed 4d ago), licensed MIT. It adds 38 tokens to every session and 1,502 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
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