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 playtest-reportgit 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/playtest-report)<a href="https://agentmods.dev/skills/donchitos/claude-code-game-studios/playtest-report"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/playtest-report/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/playtest-report"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/playtest-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00020 | $0.01664 |
| Opus 5.5 | $0.00008 | $0.00666 |
| Sonnet 5.5 | $0.00004 | $0.00333 |
| Haiku 4.5 | $0.00002 | $0.00166 |
Grade A, and why
playtest-report scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
3 near-identical copies found in the catalogue:
- playtest-report — 98% identical, 50 lines differ
- playtest-report — 94% identical, 50 lines differ
- playtest-report — 91% identical, 50 lines differ
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
!bash "${CLAUDE_SKILL_DIR}/../../hooks/yaml-helper.sh" resolve_config --keys review_mode,automation
Resolved above — use as-is; --review overrides review_mode for this run. No
block → defaults in .claude/docs/config-resolution.md.
Playtest Report
Phase 1: Parse Arguments
See .claude/docs/director-gates.md for the full check pattern. Individual gate definitions live in .claude/docs/director-gates/[gate-id].md — the spawned agent reads its own gate file; do not read it in the parent session.
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).
Determine the mode:
new→ generate a blank playtest report template. This mode ends after Phase 2A: a blank template has nothing to route, review or save.analyze [path]→ read raw notes and fill in the template with structured findings- No argument → ask via
AskUserQuestion:[A] New blank template/[B] Analyze notes — I'll give you the path
Phase 2A: New Template Mode
Generate this template and output it to the user:
# Playtest Report
## Session Info
- **Date**: [Date]
- **Build**: [Version/Commit]
- **Duration**: [Time played]
- **Tester**: [Name/ID]
- **Platform**: [PC/Console/Mobile]
- **Input Method**: [KB+M / Gamepad / Touch]
- **Session Type**: [First time / Returning / Targeted test]
## Test Focus
[What specific features or flows were being tested]
## First Impressions (First 5 minutes)
- **Understood the goal?** [Yes/No/Partially]
- **Understood the controls?** [Yes/No/Partially]
- **Emotional response**: [Engaged/Confused/Bored/Frustrated/Excited]
- **Notes**: [Observations]
## Gameplay Flow
### What worked well
- [Observation 1]
### Pain points
- [Issue 1 -- Severity: High/Medium/Low]
### Confusion points
- [Where the player was confused and why]
### Moments of delight
- [What surprised or pleased the player]
## Bugs Encountered
| # | Description | Severity | Reproducible |
|---|-------------|----------|-------------|
## Feature-Specific Feedback
### [Feature 1]
- **Understood purpose?** [Yes/No]
- **Found engaging?** [Yes/No]
- **Suggestions**: [Tester suggestions]
## Quantitative Data (if available)
- **Deaths**: [Count and locations]
- **Time per area**: [Breakdown]
- **Items used**: [What and when]
- **Features discovered vs missed**: [List]
## Overall Assessment
- **Would play again?** [Yes/No/Maybe]
- **Difficulty**: [Too Easy / Just Right / Too Hard]
- **Pacing**: [Too Slow / Good / Too Fast]
- **Session length preference**: [Shorter / Good / Longer]
## Top 3 Priorities from this session
1. [Most important finding]
2. [Second priority]
3. [Third priority]
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.
- 10d ago Changed · +2 lines 2e601aebc094
- 19d ago Changed · +14 lines e3fb83ac622e
- 24d ago Changed d5ca247b2906
- 25d ago Changed · +11 lines · -15 tokens per session 49db4c8799ef
- 1mo ago First seen · 148 lines · 35 tokens per session scan A 708a99ffe099
playtest-report is a skill published in the GitHub repository Donchitos/Claude-Code-Game-Studios (26,822 stars, last pushed 11d ago), licensed MIT. It adds 20 tokens to every session and 1,664 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.
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