{"data":{"kind":"file","path":"README.md","version_id":"g245qy12qcxnokgk0wktgogx","entry":{"name":"README.md","path":"README.md","is_directory":false,"size":1066,"modified_at":"2026-08-01T06:28:48.373000","content_hash":"26783c0c2dfffd16faa64f2df7d9c7569cdd773f590cc84dbb90bd21f3fb97ca"},"entries":[],"content":"# game-knowledge\n\nGame design knowledge evaluation environment for Prime Intellect.\n\n## Overview\n\nTests deep understanding of game design across 15 diverse topics:\n\n- **Game Mechanics**: roguelike systems, combat design, procedural generation\n- **Design Philosophy**: Nintendo vs FromSoftware, ludonarrative dissonance\n- **Game History**: FPS evolution, genre milestones\n- **Player Psychology**: Bartle taxonomy, motivation, engagement\n- **Economy & Balance**: MMO economies, game balance vs fairness\n- **Game Feel**: juice, feedback, satisfying actions\n- **Core Design**: verbs, boss design, tutorials, onboarding\n\n## Scoring\n\nFour weighted scoring dimensions:\n\n| Dimension | Weight | What it measures |\n|-----------|--------|------------------|\n| Accuracy | 0.40 | Key concept coverage |\n| Depth | 0.25 | Detail, examples, structure |\n| Specificity | 0.20 | Concrete references, numbers, names |\n| Jargon | 0.15 | Game design terminology usage |\n\n## Usage\n\n```python\nimport verifiers as vf\nenv = vf.load_environment(\"peter/game-knowledge\")\n```\n\n## Version\n\nv0.1.0\n","encoding":"utf-8","truncated":false,"total_bytes":1066},"status":null}