skills/3dsmax-scripting/_scores.json

{
  "version": "1.0.0",
  "skillHash": "sha256:a52eaef2fe7d06c37f758fb352994653c12ddff192cc226ff1a3bb376bce2524",
  "scoredAt": "2026-05-13T12:09:37.551Z",
  "backend": "ollama",
  "model": "gpt-oss:20b",
  "quality": {
    "score": 100,
    "dimensions": {
      "clarity": "PASS",
      "completeness": "PASS",
      "conciseness": "PASS",
      "actionability": "PASS",
      "crossPlatform": "PASS",
      "examples": "PASS"
    },
    "issues": []
  },
  "security": {
    "verdict": "SAFE",
    "issues": []
  },
  "impact": {
    "multiplier": 2.71,
    "baselineAvg": 35,
    "treatmentAvg": 95,
    "scenarios": [
      {
        "name": "create-vray-physical-camera",
        "baseline": 15,
        "treatment": 85,
        "rationale": "Response A satisfies almost all rubric items except white_balance_preset, while Response B uses incorrect property names and omits many required settings."
      },
      {
        "name": "batch-process-scenes",
        "baseline": 40,
        "treatment": 100,
        "rationale": "Response A fully satisfies all rubric requirements, while Response B omits the required use of cameras.count and resetMaxFile, using a manual camera count and clearScene instead."
      },
      {
        "name": "audit-scene-with-python",
        "baseline": 50,
        "treatment": 100,
        "rationale": "Response A fully satisfies the rubric, while Response B omits key requirements such as using rt.getNumFaces, checking obj.renderable, and returning a list of issue strings."
      }
    ]
  }
}