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/test-flakinessnpx skills add Donchitos/Claude-Code-Game-Studios --skill test-flakinessgit 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/test-flakiness)<a href="https://agentmods.dev/skills/donchitos/claude-code-game-studios/test-flakiness"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/test-flakiness.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 | $0.00059 | $0.01978 |
| Opus 5 | $0.00030 | $0.00989 |
| Sonnet 5 | $0.00012 | $0.00396 |
| Haiku 4.5 | $0.00006 | $0.00198 |
Grade A, and why
test-flakiness 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
2 near-identical copies found in the catalogue:
- test-flakiness — 98% identical, 1 lines differ
- test-flakiness — 98% identical, 1 lines differ
How it starts
The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Test Flakiness Detection
A flaky test is one that sometimes passes and sometimes fails without any code change. Flaky tests are worse than no tests in some ways — they train the team to ignore red CI runs, masking genuine failures. This skill identifies them, explains likely causes, and recommends whether to quarantine or fix each one.
Output: Updated tests/regression-suite.md quarantine section + optional
production/qa/flakiness-report-[date].md
When to run:
- Polish phase (tests have had many runs; statistical signal is reliable)
- When developers start dismissing CI failures as "probably flaky"
- After
/regression-suiteidentifies quarantined tests that need diagnosis
1. Parse Arguments
Modes:
/test-flakiness [ci-log-path]— analyse a specific CI run log file/test-flakiness scan— scan all available CI logs in.github/or standard log output directories/test-flakiness registry— read existing regression-suite.md quarantine section and provide remediation guidance for already-known flaky tests- No argument — auto-detect: run
scanif CI logs are accessible, elseregistry
2. Locate CI Log Data
Option A — GitHub Actions (preferred)
Check for test result artifacts:
ls -t .github/ 2>/dev/null
ls -t test-results/ 2>/dev/null
For Godot projects: GdUnit4 outputs XML results compatible with JUnit format.
Check test-results/ for .xml files.
For Unity projects: game-ci test runner outputs NUnit XML to test-results/
by default.
For Unreal projects: automation logs go to Saved/Logs/. Grep for
Result: Success and Result: Fail patterns.
Option B — Local log files
If a path argument is provided, read that file directly.
Option C — No log data available
If no logs found:
"No CI log data found. To detect flaky tests, this skill needs test result history from multiple runs. Options:
- Run the test suite at least 3 times and collect the output logs
- Check CI pipeline output and save a log to
test-results/- Run
/test-flakiness registryto review tests already flagged as flaky intests/regression-suite.md"
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 · 212 lines · 59 tokens per session scan A 3849299d9c0b
test-flakiness is a skill published in the GitHub repository Donchitos/Claude-Code-Game-Studios (24,822 stars, last pushed 3mo ago), licensed MIT. It adds 59 tokens to every session and 1,978 once invoked, about $0.0003 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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