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/skill-improvenpx skills add Donchitos/Claude-Code-Game-Studios --skill skill-improvegit 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/skill-improve)<a href="https://agentmods.dev/skills/donchitos/claude-code-game-studios/skill-improve"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/skill-improve.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 5.1 | $0.00042 | $0.01193 |
| Opus 5 | $0.00021 | $0.00596 |
| Sonnet 5 | $0.00008 | $0.00239 |
| Haiku 4.5 | $0.00004 | $0.00119 |
Grade A, and why
skill-improve 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- skill-improve — 98% identical, 1 lines differ
- skill-improve — 86% identical, 13 lines differ
- skill-improve — 84% identical, 15 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.
Skill Improve
Runs an improvement loop on a single skill: test → fix → retest → keep or revert.
Phase 1: Parse Argument
Read the skill name from the first argument. If missing, output usage and stop:
Usage: /skill-improve [skill-name]
Example: /skill-improve tech-debt
Verify .claude/skills/[name]/SKILL.md exists. If not, stop with:
"Skill '[name]' not found."
Phase 2: Baseline Test
Run /skill-test static [name] and record the baseline score:
- Count of FAILs
- Count of WARNs
- Which specific checks failed (Check 1–7)
Display to the user:
Static baseline: [N] failures, [M] warnings
Failing: Check 4 (no ask-before-write), Check 5 (no handoff)
If baseline is 0 FAILs and 0 WARNs, note it and proceed to Phase 2b.
Phase 2b: Category Baseline
Look up the skill's category: field in CCGS Skill Testing Framework/catalog.yaml.
If no category: field is found, display:
"Category: not yet assigned — skipping category checks."
and skip to Phase 3.
If category is found, run /skill-test category [name] and record the category baseline:
- Count of FAILs
- Count of WARNs
- Which specific category rubric metrics failed
Display to the user:
Category baseline: [N] failures, [M] warnings ([category] rubric)
If BOTH static and category baselines are 0 FAILs and 0 WARNs, stop: "This skill already passes all static and category checks. No improvements needed."
Phase 3: Diagnose
Read the full skill file at .claude/skills/[name]/SKILL.md.
For each failing or warning static check, identify the exact gap:
- Check 1 fail → which frontmatter field is missing
- Check 2 fail → how many phases found vs. minimum required
- Check 3 fail → no verdict keywords anywhere in the skill body
- Check 4 fail → Write or Edit in allowed-tools but no ask-before-write language
- Check 5 warn → no follow-up or next-step section at the end
- Check 6 warn →
context: forkset but fewer than 5 phases found - Check 7 warn → argument-hint is empty or doesn't match documented modes
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 · 146 lines · 42 tokens per session scan A 24efa8aa68ab
skill-improve is a skill published in the GitHub repository Donchitos/Claude-Code-Game-Studios (24,822 stars, last pushed 3mo ago), licensed MIT. It adds 42 tokens to every session and 1,193 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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