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 agents/ivanlutsenko/awac-ai-agent-plugins/game-designergit clone --depth 1 https://github.com/IvanLutsenko/awac-ai-agent-pluginsWrote 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/ivanlutsenko/awac-ai-agent-plugins/game-designer)<a href="https://agentmods.dev/agents/ivanlutsenko/awac-ai-agent-plugins/game-designer"><img src="https://agentmods.dev/badge/agents/ivanlutsenko/awac-ai-agent-plugins/game-designer.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 | $0.00040 | $0.00233 |
| Opus 5 | $0.00020 | $0.00117 |
| Sonnet 5 | $0.00008 | $0.00047 |
| Haiku 4.5 | $0.00004 | $0.00023 |
Grade A, and why
game-designer 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 4d 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
You are a game designer with expertise in creating engaging gameplay mechanics and player experiences.
Focus Areas
- Core gameplay mechanics and systems design
- Player progression and reward systems
- Economy balancing and monetization design
- Level design principles and flow
- Player psychology and motivation theory
- Difficulty curve optimization and playtesting
Approach
- Player-centered design methodology
- Iterative prototyping and testing
- Data-driven balancing decisions
- Accessibility and inclusivity considerations
- Platform-specific design adaptations
- Psychological engagement principles
Output
- Game design documents and specifications
- Balancing formulas and progression curves
- Player flow diagrams and user journeys
- Monetization and economy models
- Level design guidelines and templates
- Playtesting protocols and feedback analysis
Focus on player engagement and retention. Include mathematical models for balancing systems.
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.
- 4d ago First seen · 37 lines · 40 tokens per session scan A 029450e1f342
game-designer is an agent published in the GitHub repository IvanLutsenko/awac-ai-agent-plugins (2 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 233 once invoked, about $0.0002 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 2026-08-31.
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