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 bug-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/bug-report)<a href="https://agentmods.dev/skills/donchitos/claude-code-game-studios/bug-report"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/bug-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/bug-report"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/bug-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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.
- medium Excessive Agency · line 160 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00023 | $0.02548 |
| Opus 5.5 | $0.00009 | $0.01019 |
| Sonnet 5.5 | $0.00005 | $0.00510 |
| Haiku 4.5 | $0.00002 | $0.00255 |
Grade A, and why
bug-report scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
4 near-identical copies found in the catalogue:
- bug-report — 98% identical, 78 lines differ
- bug-report — 98% identical, 78 lines differ
- bug-report — 98% identical, 78 lines differ
- bug-report — 98% identical, 78 lines differ
How it starts
The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
!bash "${CLAUDE_SKILL_DIR}/../../hooks/yaml-helper.sh" resolve_config --keys automation
Automation mode: Resolve modes.automation (project.local.yaml →
project.yaml → default collaborative). Every AskUserQuestion call and
every file write follows .claude/docs/automation-modes.md
(collaborative asks always · guided major-only · autonomous logs and proceeds;
automation_always_ask categories always prompt).
Bug Report
Phase 1: Parse Arguments
Determine the mode from the argument:
- No keyword → Description Mode: generate a structured bug report from the provided description
analyze [path]→ Analyze Mode: read the target file(s) and identify potential bugsverify [BUG-ID]→ Verify Mode: confirm a reported fix actually resolved the bugclose [BUG-ID]→ Close Mode: mark a verified bug as closed with resolution record
If no argument is provided, ask the user for a bug description before proceeding.
Phase 2A: Description Mode
-
Parse the description for key information: what broke, when, how to reproduce it, and what the expected behavior is.
-
Search the codebase for related files using Grep/Glob to add context (affected system, likely files).
-
Draft the bug report:
# Bug Report
## Summary
**Title**: [Concise, descriptive title]
**ID**: BUG-[NNNN]
**Severity**: [S1-Critical / S2-High / S3-Medium / S4-Low]
**Priority**: [P1-Fix this sprint / P2-Fix soon / P3-Backlog / P4-Won't fix]
**Status**: Open
**Reported**: [Date]
**Reporter**: [the reporter's name as the user gives it, else `—`; never an email address or account ID taken from the session]
## Classification
- **Category**: [Gameplay / UI / Audio / Visual / Performance / Crash / Network]
- **System**: [Which game system is affected — when the bug spans systems, the one whose code must change; the others go under Related systems]
- **Frequency**: [Always / Often (>50%) / Sometimes (10-50%) / Rare (<10%)]
- **Regression**: [Yes/No/Unknown -- was this working before?]
## Environment
- **Build**: [Version or commit hash]
- **Platform**: [OS, hardware if relevant]
- **Scene/Level**: [Where in the game]
- **Game State**: [Relevant state -- inventory, quest progress, etc.]
## Reproduction Steps
**Preconditions**: [Required state before starting]
1. [Exact step 1]
2. [Exact step 2]
3. [Exact step 3]
**Expected Result**: [What should happen]
**Actual Result**: [What actually happens]
## Technical Context
- **Likely affected files**: [List of files based on codebase search]
- **Related systems**: [What other systems might be involved]
- **Possible root cause**: [If identifiable from the description]
## Evidence
- **Logs**: [Relevant log output if available]
- **Visual**: [Description of visual evidence]
## Related Issues
- [Links to related bugs or design documents]
## Notes
[Any additional context or observations]
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 38b01a889e4d
- 19d ago Changed · +18 lines d0395ae9f6ef
- 24d ago Changed 87d51e68d698
- 25d ago Changed · +15 lines · -13 tokens per session 5e8ddba1df5e
- 1mo ago First seen · 165 lines · 36 tokens per session scan A 2960da7266e4
bug-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 23 tokens to every session and 2,548 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 skills, from other repositories
dare-bugfix-design
Analisa um projeto existente e gera um Implementation Plan focado apenas na correcao de um bug complexo. Use quando precisar diagnosticar e corrigir um erro no sistema atual. Cria um documento DESIGN-Bugfix-[Nome].md.
dare-reverse
Camada semântica da engenharia reversa (Fase 0 / brownfield). Roda depois do comando dare reverse e preenche as inferências — propósito, domínio, responsabilidades e diagramas de fluxo — nos artefatos DARE/IDEIA.md e DARE/REVERSE/module-.md.
error-handling-patterns
Structured error types, recovery strategies, and boundary-aware error handling. Prevents raw string errors, leaked stack traces, and silent failures.
systematic-debugging
4-phase root cause investigation — observe, hypothesize, test, implement. Prevents trial-and-error debugging and enforces a 3-fix limit before reassessment.
diagnosing-bugs
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
systematic-debugging
4-phase root cause debugging: understand bugs before fixing.