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 DanceNitra/agora --skill agora-dungeon-game-devgit clone --depth 1 https://github.com/DanceNitra/agoraWrote 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/dancenitra/agora/agora-dungeon-game-dev)<a href="https://agentmods.dev/skills/dancenitra/agora/agora-dungeon-game-dev"><img src="https://agentmods.dev/badge/skills/dancenitra/agora/agora-dungeon-game-dev/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/dancenitra/agora/agora-dungeon-game-dev"><img src="https://agentmods.dev/badge/skills/dancenitra/agora/agora-dungeon-game-dev.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00049 | $0.02479 |
| Opus 5.5 | $0.00020 | $0.00992 |
| Sonnet 5.5 | $0.00010 | $0.00496 |
| Haiku 4.5 | $0.00005 | $0.00248 |
Grade A, and why
agora-dungeon-game-dev 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 1mo 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🎮 Agora Dungeon — Game Development Knowledge
User Preferences
- Language: English for code/docs, even when user communicates in Slovak. The user expects all code, comments, file contents, and documentation in English.
- Research workflow: When the user provides research answers from NotebookLM, save them immediately as reference files in the skill's
references/directory. One file per topic. Keep updating SKILL.md to point to new references.
Overview
Build a visually stunning 2D browser dungeon game where AI agents (like Hermes/Claude Code) operate independently, cooperate, and build real businesses. An orchestrator (human) assigns tasks. Built with TypeScript + Phaser 3 + React + Node.js + LLM API.
🧠 Knowledge from Research (8 Series — NotebookLM)
All 8 series were researched via NotebookLM using 3 books + 4 papers. Answers were saved as TypeScript reference files in references/.
Series 1: Memory Stream + Reflection (Generative Agents)
Full architecture and TypeScript implementation of the Generative Agents memory system.
Key parameters:
- Decay rate λ = 0.995 per game hour
- Importance: LLM-scored 1-10
- Retrieval = recency + importance + relevance (all α=1.0)
- Reflection trigger: sum(importance) > 150
- Reflection tree: leaf=observations, non-leaf=increasingly abstract
Reference files:
references/memory-stream-impl.md— full architecture docreferences/generative-agent-ts-implementation.ts— complete working TypeScript class
Series 2: Behavior Trees
Full BT runtime with 6 node types + Phaser 3 visual editor.
Nodes: Action, Condition, Sequence, Selector, Parallel, Inverter, Repeat Visual debug: Color-coded state display in Phaser, JSON serialization
Reference files:
references/behavior-tree-runtime.ts— core BT runtimereferences/bt-editor-phaser.ts— Phaser 3 visual editor + BTFactory
Series 3: Pathfinding + Steering
A* pathfinding + steering behaviors integrated into Phaser 3.
What ships with it
24 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/a-star-pathfinding.ts 12 KB runs code
- references/agora-integration.md 1.8 KB
- references/behavior-tree-runtime.ts 8.2 KB runs code
- references/behavior-trees-pattern.md 1.6 KB
- references/bt-editor-phaser.ts 8.1 KB runs code
- references/coalition-shapley.ts 5.1 KB runs code
- references/combat-scene.ts 7.2 KB runs code
- references/contract-net-protocol.ts 7.0 KB runs code
- references/dialogue-manager.ts 4.6 KB runs code
- references/fuzzy-logic.ts 6.4 KB runs code
- references/generative-agent-ts-implementation.ts 7.9 KB runs code
- references/generative-agents-full-architecture.md 7.9 KB
- references/generative-agents-pattern.md 2.1 KB
- references/hierarchical-fsm.ts 8.1 KB runs code
- references/inventory-scene.ts 4.3 KB runs code
- references/llm-router.ts 13 KB runs code
- references/memory-stream-impl.md 7.0 KB
- references/minimap-scene.ts 3.4 KB runs code
- references/react-pattern.md 1.6 KB
- references/steering-behaviors-phaser.ts 10 KB runs code
- references/tilemap-scene.ts 3.3 KB runs code
- references/trust-engine.ts 1.9 KB runs code
- references/utility-ai.ts 5.4 KB runs code
- references/voyager-pattern.md 2.2 KB
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.
- 1mo ago First seen · 187 lines · 49 tokens per session scan A e57f9b5d5cf4
agora-dungeon-game-dev is a skill published in the GitHub repository DanceNitra/agora (3 stars, last pushed 5d ago), licensed MIT. It adds 49 tokens to every session and 2,479 once invoked, about $0.0002 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 2026-08-31.
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