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-qanpx skills add Donchitos/Claude-Code-Game-Studios --skill team-qagit 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-qa)<a href="https://agentmods.dev/skills/donchitos/claude-code-game-studios/team-qa"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/team-qa.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 | $0.00073 | $0.02883 |
| Opus 5 | $0.00036 | $0.01442 |
| Sonnet 5 | $0.00015 | $0.00577 |
| Haiku 4.5 | $0.00007 | $0.00288 |
Grade A, and why
team-qa 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When this skill is invoked, orchestrate the QA team through a structured testing cycle.
Decision Points: At each phase 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 phase.
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.
Team Composition
- qa-lead — QA strategy, test plan generation, story classification, sign-off report
- qa-tester — Test case writing, bug report writing, manual QA documentation
How to Delegate
Use the Task tool to spawn each team member as a subagent:
subagent_type: qa-lead— Strategy, planning, classification, sign-offsubagent_type: qa-tester— Test case writing and bug report writing
Always provide full context in each agent's prompt (story file paths, QA plan path, scope constraints). Launch independent qa-tester tasks in parallel where possible (e.g., multiple stories in Phase 5 can be scaffolded simultaneously).
Pipeline
Phase 1: Load Context
Before doing anything else, gather the full scope:
- Detect the current sprint or feature scope from the argument:
- If argument is a sprint identifier (e.g.,
sprint-03): Globproduction/sprints/for files matching*[sprint-identifier]*.md. Read the matched file. If multiple match, use the most recently modified. - If argument is
feature: [system-name]: glob story files tagged for that system - If no argument: read
production/session-state/active.mdandproduction/sprint-status.yaml(if present) to infer the active sprint
- If argument is a sprint identifier (e.g.,
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.
- 2d ago First seen · 245 lines · 73 tokens per session scan A 1d67b5e45ae4
team-qa is a skill published in the GitHub repository Donchitos/Claude-Code-Game-Studios (24,822 stars, last pushed 3mo ago), licensed MIT. It adds 73 tokens to every session and 2,883 once invoked, about $0.0004 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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