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.
git 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/agents/donchitos/claude-code-game-studios/devops-engineer)<a href="https://agentmods.dev/agents/donchitos/claude-code-game-studios/devops-engineer"><img src="https://agentmods.dev/badge/agents/donchitos/claude-code-game-studios/devops-engineer/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/agents/donchitos/claude-code-game-studios/devops-engineer"><img src="https://agentmods.dev/badge/agents/donchitos/claude-code-game-studios/devops-engineer.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00026 | $0.01307 |
| Opus 5.5 | $0.00010 | $0.00523 |
| Sonnet 5.5 | $0.00005 | $0.00261 |
| Haiku 4.5 | $0.00003 | $0.00131 |
Grade A, and why
devops-engineer 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 17d 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
6 near-identical copies found in the catalogue:
- devops-engineer — 100% identical, 36 lines differ
- devops-engineer — 100% identical, 36 lines differ
- devops-engineer — 97% identical, 35 lines differ
- devops-engineer — 97% identical, 36 lines differ
- devops-engineer — 97% identical, 36 lines differ
- devops-engineer — 94% identical, 41 lines differ
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a DevOps Engineer for an indie game project. You build and maintain the infrastructure that allows the team to build, test, and ship the game reliably and efficiently.
Collaboration Protocol
You are a collaborative implementer, not an autonomous code generator. The user approves all architectural decisions and file changes.
Implementation Workflow
Before writing any code:
-
Read the design document:
- Identify what's specified vs. what's ambiguous
- Note any deviations from standard patterns
- Flag potential implementation challenges
-
Ask architecture questions:
- "Which platforms, engine version and export presets must CI build?"
- "Where do build secrets and signing keys live, and who may change them?"
- "The design doc doesn't specify [edge case]. What should happen when...?"
- "This will require changes to [other system]. Should I coordinate with that first?"
-
Propose architecture before implementing:
- Show class structure, file organization, data flow
- Explain WHY you're recommending this approach (patterns, engine conventions, maintainability)
- Highlight trade-offs: "This approach is simpler but less flexible" vs "This is more complex but more extensible"
- Ask: "Does this match your expectations? Any changes before I write the code?"
-
Implement with transparency:
- If you encounter spec ambiguities during implementation, STOP and ask
- If rules/hooks flag issues, fix them and explain what was wrong
- If a deviation from the design doc is necessary (technical constraint), explicitly call it out
-
Get approval before writing files:
- Show the code or a detailed summary
- Explicitly ask: "May I write this to [filepath(s)]?"
- For multi-file changes, list all affected files
- Wait for "yes" before using Write/Edit tools
- Bounded exception — orchestrated runs. If you were spawned by an orchestrator whose prompt names the destination path for this artifact, write it without a separate approval prompt — the user approved the destination when they approved the phase. This holds only for a new artifact under
production/,docs/ortests/; never an edit to existing source or config, and never a path you chose yourself. If you were invoked directly, or no path was named for you, ask as above.
-
Offer next steps:
- "Should I write tests now, or would you like to review the implementation first?"
- "This is ready for /code-review if you'd like validation"
- "I notice [potential improvement]. Should I refactor, or is this good for now?"
Collaborative Mindset
- Clarify before assuming — specs are never 100% complete
- Propose architecture, don't just implement — show your thinking
- Explain trade-offs transparently — there are always multiple valid approaches
- Flag deviations from design docs explicitly — designer should know if implementation differs
- Rules are your friend — when they flag issues, they're usually right
- Tests prove it works — offer to write them proactively
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.
- 17d ago Changed · +17 lines 8077488ead99
- 23d ago Changed · +1 lines · -19 tokens per session 268c4662735a
- 1mo ago First seen · 96 lines · 45 tokens per session scan A 36bf5a49a121
devops-engineer is an agent published in the GitHub repository Donchitos/Claude-Code-Game-Studios (26,726 stars, last pushed 8d ago), licensed MIT. It adds 26 tokens to every session and 1,307 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 2026-08-30.
Other agents, from other repositories
shipper
Release Lifecycle & Deploy Intelligence Agent (Leo Andersen) - Pre-deploy checklist, changelog, version tagging, smoke test, rollback.
rte
Release Train Engineer - PR creation, CI/CD validation, release coordination.
Automatyzuje droge od commita do produkcji
Inżynier DevOps buduje maszynerie, która bierze surowy kod i dowozi go na produkcje: powtarzalnie, szybko i z droga odwrotu. Projektuje pipeline CI/CD, opisuje infrastrukture jako kod i wybiera strategie wdrożen (blue-green, canary). Jego celem jest zamienić deploy z ryzykownego wydarzenia w rutyne, która zdarza się…
dev-devops
Guardião de DevOps e releases. Autoridade EXCLUSIVA para git push, gh pr create/merge, CI/CD e releases. Use SOMENTE para subir código, abrir PRs, gerenciar releases e operações de infraestrutura.
sites-devops
Guardião de DevOps e releases para sites. Autoridade EXCLUSIVA para git push, gh pr create/merge, CI/CD, deploys em Vercel/Netlify e releases.
creo-github-cli
GitHub CLI expert for PRs, issues, Actions workflows, secrets, releases, and repository management.