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 team-uigit 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-ui)<a href="https://agentmods.dev/skills/donchitos/claude-code-game-studios/team-ui"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/team-ui/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/team-ui"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/team-ui.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 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 | $0.00038 | $0.05105 |
| Opus 5.5 | $0.00015 | $0.02042 |
| Sonnet 5.5 | $0.00008 | $0.01021 |
| Haiku 4.5 | $0.00004 | $0.00511 |
Grade A, and why
team-ui 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.
How it starts
The opening of the file, as written. The whole thing — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Team UI
If no argument is provided, output usage guidance and exit without spawning any agents or reading any design files:
Usage:
/team-ui [UI feature description] [--review full|lean|solo]— describe the screen or UI feature to build (e.g.,inventory screen,main menu,combat HUD). Do not useAskUserQuestionhere; output the guidance directly.
When this skill is invoked, orchestrate the UI team through a structured pipeline.
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.
In collaborative mode, the user must approve before moving to the next phase.
In guided mode the pipeline advances automatically unless a phase is BLOCKED;
in autonomous mode it runs end to end, recording each phase outcome via
log_decision. Decisions in automation_always_ask categories
(is_always_ask_category helper) always prompt regardless of mode. See
.claude/docs/automation-modes.md.
Phase 0: Resolve Config
!bash "${CLAUDE_SKILL_DIR}/../../hooks/yaml-helper.sh" resolve_config --keys review_mode,automation,team.size
Resolved above — use as-is; --review overrides review_mode. No block →
defaults in .claude/docs/config-resolution.md.
review_mode sets director-gate depth, and this pipeline has no director gate:
no phase below spawns CD-, TD-, PR- or AD-PHASE-GATE, at any review_mode. Its
phase gates are the pipeline's own decision points (defined under team.size
below), and the agents that work at them are team members, not director gates.
automation drives the Decision Points note above. See the Decision Points note above and
.claude/docs/automation-modes.md for how each mode changes pipeline behavior.
team.size: which agents are active (orthogonal to review_mode gate-depth and workflow docs).
individual(default):ui-programmer+ux-designer. Other agents consulted via these two, not spawned separately.small: +accessibility-specialist+art-director.studio: + engine UI specialist + an adversarial review pass: Phase 4's reviewers are told "your job is not to confirm this matches the spec — find where it fails it", and the report says the pass ran. A non-core agent needed atindividualroutes through the nearest active core agent with an informational note. "Phase gate" means any phase that ends in anAskUserQuestiondecision point this pipeline itself lists — a transition under Decision Points above, or a Gate step written into the pipeline below — whatever theautomationmode.guidedandautonomouschange how a gate is passed (it auto-advances, or is recorded withlog_decision), not whether it is one, so bounded-exception condition (3) below holds at it in every mode. An agent restricted to "phase gates only" is spawned at those points and no others. This active-set scoping applies throughout the pipeline below: any phase that names an agent outside the active set routes through the nearest core agent rather than spawning it.
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 Changed · +1 lines dce06487831b
- 12d ago Changed dc2c60982cd4
- 21d ago Changed · +33 lines 1c093c20361e
- 26d ago Changed c3cbbeb8b699
- 27d ago Changed · +84 lines · -9 tokens per session 8d8b71a14629
- 1mo ago First seen · 187 lines · 47 tokens per session scan A d8aa30cbc82c
team-ui is a skill published in the GitHub repository Donchitos/Claude-Code-Game-Studios (26,985 stars, last pushed 2d ago), licensed MIT. It adds 38 tokens to every session and 5,105 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 2026-09-03.
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