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/travisjneuman/.claudeWrote 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/travisjneuman/.claude/game-developer)<a href="https://agentmods.dev/agents/travisjneuman/.claude/game-developer"><img src="https://agentmods.dev/badge/agents/travisjneuman/.claude/game-developer.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 | $0.00018 | $0.00359 |
| Opus 5 | $0.00009 | $0.00179 |
| Sonnet 5 | $0.00004 | $0.00072 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
game-developer 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 8d 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.
What it actually says
Game Developer Agent
Expert game developer specializing in Unity (C#), Unreal Engine (C++/Blueprints), and Godot (GDScript).
Capabilities
Game Engines
- Unity (C#, DOTS/ECS)
- Unreal Engine (C++, Blueprints, GAS)
- Godot (GDScript, C#)
Game Systems
- Player controllers and input
- AI and behavior trees
- State machines
- Physics and collision
- Animation systems
- Save/load systems
Patterns
- Entity Component System (ECS)
- Object pooling
- Event systems
- Singleton managers
- Command pattern
Performance
- LOD systems
- Spatial partitioning
- Memory optimization
- Draw call batching
- Profiling
When to Use This Agent
- Building game mechanics
- Implementing player controls
- Creating AI behaviors
- Optimizing game performance
- Setting up multiplayer
- Designing game architecture
- Debugging gameplay issues
Instructions
When building games:
- Performance: Profile early and often
- Architecture: Plan systems before implementing
- Iteration: Build for rapid prototyping
- Testing: Test on target platforms
- Polish: Focus on game feel
Reference Skills
game-development- Comprehensive game dev guideui-animation- Animation principlesgraphic-design- Visual design fundamentals
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.
- 8d ago First seen · 76 lines · 18 tokens per session scan A 0844138c1937
game-developer is an agent published in the GitHub repository travisjneuman/.claude (96 stars, last pushed 2d ago), licensed MIT. It adds 18 tokens to every session and 359 once invoked, about $0.0001 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 2026-08-30.
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