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 nirholas/three.ws --skill ai-game-world-designgit clone --depth 1 https://github.com/nirholas/three.wsWrote 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/nirholas/three.ws/ai-game-world-design)<a href="https://agentmods.dev/skills/nirholas/three.ws/ai-game-world-design"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/ai-game-world-design.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00088 | $0.03782 |
| Opus 5 | $0.00044 | $0.01891 |
| Sonnet 5 | $0.00018 | $0.00756 |
| Haiku 4.5 | $0.00009 | $0.00378 |
Grade A, and why
ai-game-world-design 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.
How it starts
The opening of the file, as written. The whole thing — 461 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Game World Design — From First Principles
This skill teaches you to architect game worlds where AI doesn't just play — it narrates, adapts, economizes, and breathes life into every NPC, quest, and ecosystem. You'll learn to build worlds that feel alive because they actually are.
Core Philosophy
┌─────────────────────────────────────────────────────────┐
│ THE LIVING WORLD MANIFESTO │
├─────────────────────────────────────────────────────────┤
│ │
│ A great AI game world has three properties: │
│ │
│ 1. EMERGENT — behaviors arise that designers │
│ never explicitly programmed │
│ │
│ 2. REACTIVE — the world changes in response │
│ to player actions, not just scripted triggers │
│ │
│ 3. PERSISTENT — consequences compound over time, │
│ creating unique histories for every playthrough │
│ │
│ AI is the engine that makes all three possible. │
│ │
└─────────────────────────────────────────────────────────┘
World Generation
Procedural Terrain
The foundation of any game world is geography. Procedural generation creates infinite variety from algorithmic rules.
| Technique | Best For | Scale |
|---|---|---|
| Perlin/Simplex Noise | Terrain heightmaps, caves | Continental |
| Wave Function Collapse | Tiled environments, dungeons | Room/zone |
| L-Systems | Vegetation, branching structures | Object |
| Voronoi Diagrams | Biome boundaries, territories | Regional |
| Agent-Based | City layouts, road networks | City |
| Grammar-Based | Building interiors, quest structures | Structure |
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 · 461 lines · 88 tokens per session scan A 56c9d4f89720
ai-game-world-design is a skill published in the GitHub repository nirholas/three.ws (111 stars, last pushed yesterday), licensed Apache-2.0. It adds 88 tokens to every session and 3,782 once invoked, about $0.0004 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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