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/skill-testWrote 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/skill-test)<a href="https://agentmods.dev/skills/donchitos/claude-code-game-studios/skill-test"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/skill-test/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/skill-test"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/skill-test.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 7 findings, up to high
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 →
- high Agent Snooping · line 142 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
- high Agent Snooping · line 223 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
- 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.
- medium Agent Snooping · line 32 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 142 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 223 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Excessive Agency · line 177 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00027 | $0.07196 |
| Opus 5.5 | $0.00011 | $0.02878 |
| Sonnet 5.5 | $0.00005 | $0.01439 |
| Haiku 4.5 | $0.00003 | $0.00720 |
Grade A, and why
skill-test scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
2 near-identical copies found in the catalogue:
- skill-test — 100% identical, 398 lines differ
- skill-test — 92% identical, 400 lines differ
How it starts
The opening of the file, as written. The whole thing — 615 lines — stays where its author put it; the contents beside it link to each section on GitHub.
!bash "${CLAUDE_SKILL_DIR}/../../hooks/yaml-helper.sh" resolve_config --keys automation
Automation mode: Resolve modes.automation (project.local.yaml →
project.yaml → default collaborative). Every AskUserQuestion call and
every file write follows .claude/docs/automation-modes.md
(collaborative asks always · guided major-only · autonomous logs and proceeds;
automation_always_ask categories always prompt).
Skill Test
Validates skills (.claude/skills/*/SKILL.md) and agents (.claude/agents/*.md)
for structural compliance and behavioral correctness. No external dependencies —
runs entirely within the existing skill/hook/template architecture.
Four modes:
| Mode | Command | Purpose | Token Cost |
|---|---|---|---|
static |
/skill-test static [name|all] |
Structural linter — 7 compliance checks per skill, plus agent, delegation and compatibility observations | Low (~1k/skill) |
spec |
/skill-test spec [name] |
Behavioral verifier — evaluates assertions in a skill's or agent's test spec | Medium (~5k each) |
category |
/skill-test category [name|all] |
Category rubric — checks a skill or agent against its category-specific metrics | Low (~2k each) |
audit |
/skill-test audit |
Coverage report — skills, agent specs, last test dates | Low (~3k total) |
What a pass proves. Every mode reads files; none runs the skill. static:
the file has the structure a skill needs, not that it behaves. spec: read
closely, the instructions cover each case, not that Claude follows them when it
runs. category: the skill meets its category's rubric as written. audit:
which skills and agents have specs, and when each was last checked. What a skill
does shows only when it runs: a real request in a throwaway copy of the project,
on each model you use, with and without the skill (Anthropic's Agent Skills best
practices, "Build evaluations first").
Phase 1: Parse Arguments
Determine mode from the first argument:
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.
- 9d ago Changed · +83 lines c4a1775aabda
- 20d ago Changed · +5 lines e752cd174514
- 29d ago Changed · +124 lines 58c69c00b244
- 1mo ago Changed 95225a67a4f5
- 1mo ago Changed · +45 lines · -4 tokens per session e15a48e825a7
- 1mo ago First seen · 358 lines · 31 tokens per session scan A 24d09805593a
skill-test is a skill published in the GitHub repository Donchitos/Claude-Code-Game-Studios (28,478 stars, last pushed 10d ago), licensed MIT. It adds 27 tokens to every session and 7,196 once invoked, about $0.0001 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.
Other skills, from other repositories
dare-execute
Executa uma task específica com implementação de código e testes. Use quando o usuário aprovar TASKS.md e quiser executar uma task. Implementa o código, roda testes (Ralph Loop) e valida até passar.
dare-bench
Roda o harness determinístico de fixtures de verificação (Fix·Rate, solve-rate, baseline). Mapeia o CLI dare bench.
dare-guard
Run the DARE security guard gate on artifacts (dare guard).
test-driven-development
Testing discipline that adapts to user tier and task type. Rigorous RED-GREEN-REFACTOR for critical code. Invisible testing for Builder-tier users. Pragmatic skip for trivial changes. The goal is confidence that the code works, not ceremony.
confidence-based-strictness
Use when the complexity or unfamiliarity of a task should increase guardrail enforcement. Scales verification depth based on how confident the system is in the correctness of the generated code.
quality-gates
Graduated pre-commit quality checks that scale with project complexity and user tier. Level 0 for Builder-tier small projects, up to Level 4 for enterprise codebases. Thresholds configurable in architecture.md.