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 agentmods add skills/donchitos/claude-code-game-studios/team-audionpx skills add Donchitos/Claude-Code-Game-Studios --skill team-audiogit 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/team-audio)<a href="https://agentmods.dev/skills/donchitos/claude-code-game-studios/team-audio"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/team-audio.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00034 | $0.01695 |
| Opus 5 | $0.00017 | $0.00847 |
| Sonnet 5 | $0.00007 | $0.00339 |
| Haiku 4.5 | $0.00003 | $0.00169 |
Grade A, and why
team-audio 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 yesterday.
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
3 near-identical copies found in the catalogue:
- team-audio — 95% identical, 3 lines differ
- team-audio — 86% identical, 30 lines differ
- team-audio — 84% identical, 20 lines differ
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
If no argument is provided, output usage guidance and exit without spawning any agents:
Usage:
/team-audio [feature or area]— specify the feature or area to design audio for (e.g.,combat,main menu,forest biome,boss encounter). Do not useAskUserQuestionhere; output the guidance directly.
When this skill is invoked with an argument, orchestrate the audio team through a structured pipeline.
Decision Points: At each step transition, use AskUserQuestion to present
the user with the subagent's proposals as selectable options. Write the agent's
full analysis in conversation, then capture the decision with concise labels.
The user must approve before moving to the next step.
Phase 0: Resolve Review Mode
- If
--review [mode]was passed as an argument, use that mode. - Else read
production/review-mode.txt— use whatever is written there. - Else default to
lean.
Modes:
full— spawn all director and lead gates as describedlean— skip director gates unless they are PHASE-GATE type (CD-PHASE-GATE, TD-PHASE-GATE, PR-PHASE-GATE, AD-PHASE-GATE)solo— skip all director gate spawning entirely; run the skill without any agent gates
Store the resolved mode for use in all subsequent phases.
-
Read the argument for the target feature or area (e.g.,
combat,main menu,forest biome,boss encounter). -
Gather context:
- Read relevant design docs in
design/gdd/for the feature - Read the sound bible at
design/gdd/sound-bible.mdif it exists - Read existing audio asset lists in
assets/audio/ - Read any existing sound design docs for this area
- Read relevant design docs in
How to Delegate
Use the Task tool to spawn each team member as a subagent:
subagent_type: audio-director— Sonic identity, emotional tone, audio palettesubagent_type: sound-designer— SFX specifications, audio events, mixing groupssubagent_type: technical-artist— Audio middleware, bus structure, memory budgetssubagent_type: [primary engine specialist]— Validate audio integration patterns for the enginesubagent_type: gameplay-programmer— Audio manager, gameplay triggers, adaptive music
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.
- yesterday First seen · 146 lines · 34 tokens per session scan A 6dd03358962d
team-audio is a skill published in the GitHub repository Donchitos/Claude-Code-Game-Studios (24,822 stars, last pushed 3mo ago), licensed MIT. It adds 34 tokens to every session and 1,695 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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