Claude-Code-Game-Studios
Turn Claude Code into a full game dev studio, 49 AI agents, 72 workflow skills, and a complete coordination system mirroring real studio hierarchy.
Runs with mockssource: GitHubShellMITcommit 7ed2c3e9c46c
Shell, MIT licensed. The project labels itself: ai agents, ai assisted development, anthropic, claude, claude code, game design, game development and gamedev.
Claude-Code-Game-Studios runs, with stand-ins for the services it depends on. An Argusic agent installed it in 4 minutes and hit no errors on a clean machine with no GPU, and the whole session was recorded.
The Claude Code Game Studios framework repository is fully verified: all 14 hooks run cleanly (session-start reports review mode solo and detects fresh project, detect-gaps identifies new project and suggests /start, validate-* hooks exit 0 on non-matching context, yaml-helper resolves config correctly), all 8 scripts produce valid analysis output for a fresh project, all 74 skills and 49 agents have valid YAML front...
What the agent ended up with on a clean machine, in its own words. How this is measured
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 92 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the run that decided this verdict. Every line is a recorded value, not an estimate.
- Install time
- 4 minutes
- Cold machine to finish
- 4 minutes
- Errors hit and fixed
- 0 hit, 0 fixed with no human help
- How the result was proved
- bash -n on all 23 .sh files passed; all 14 hooks and 8 scripts executed with exit code 0 and produced correct output; 74 SKILL.md, 49 agent .md, and 121 test spec files validated for YAML frontmatter; 8 config files (YAML/JSON) syntax-validated via Python yaml/json parsers; yaml-helper resolve_config returned correct CCGS config resolution; statusline.sh returned valid output
- Model tokens used
- 107,851
- Exact commit tested
- 7ed2c3e9c46c
- Container image
- sha256:cdd920bce783
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
- Behaviour against real services
- this run was verified against stand-in services only
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
## Verification Results **No errors encountered.** Every component of the framework executes correctly in this container. ### What was checked - **14 hooks** — all ran with exit code 0: `session-start.sh` correctly identifies a fresh project … - **8 scripts** — all produced correct analysis output, including `artifact-check.sh` (full 7-phase… - **74 SKILL.md files** — all have valid YAML frontmatter - **49 agent .md files** — all have valid YAML frontmatter - **121 testing framework spec files** — all pass frontmatter validation - **8 config files** — `project.yaml`, `catalog.yaml`, `workflow-catalog.yaml`, `settings.json`, `e… - **23 shell scripts** — all pass `bash -n` syntax check ### What this project is CCGS is a **Claude Code agent orchestration template** — it provides 49 specialized agent definitio…
Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Strengths and limits
Measured facts, not opinions. How this is written.
What went well
- Installed in 4 minutes, faster than the median of the 117 comparable projects Argusic has measured.
- Nothing broke on the way: zero errors between clone and running.
- Licensed MIT, as reported by its host.
- Measured 2 times, so the result is not a one-off.
What did not, or is not known
- Only reached a running state against stand-in services, so nothing here proves it works against the real ones.
Of the 118 ai-agents projects Argusic has installed and timed, Claude-Code-Game-Studios was the 43rd fastest to reach a running state, and 88 of 118 reached one at all.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
| tested by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 2/3 | Runs with mocks | 92.00 | 0.09 | |
| Argusic Runner | 1/3 | Runs with mocks | 92.00 | 0.05 |
Topics (from GitHub)
ai-agentsai-assisted-developmentanthropicclaudeclaude-codegame-designgame-developmentgamedevgodotindie-game-devunityunreal-engine
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/claude-code-game-studios)Questions
- Does Claude-Code-Game-Studios run?
- Claude-Code-Game-Studios runs, with mocks standing in for external services. Argusic installed and launched it on a clean machine in 4 minutes, hitting 0 errors on the way, and recorded the session.
- How did Argusic test Claude-Code-Game-Studios?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 7ed2c3e9c46c. 2 attempts are recorded, and the full method is on the methodology page.
- What did it cost to test Claude-Code-Game-Studios?
- The run that produced this verdict cost $0.09: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does Claude-Code-Game-Studios take to install?
- 4 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does Claude-Code-Game-Studios need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing Claude-Code-Game-Studios?
- Nothing did, in the recorded run: zero errors between clone and running.
- How does Claude-Code-Game-Studios compare with the alternatives?
- Of the 118 ai-agents projects Argusic has installed and timed, Claude-Code-Game-Studios was the 43rd fastest to reach a running state, and 88 of 118 reached one at all.
- Where is the evidence for Claude-Code-Game-Studios?
- All 2 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.