skills/audiowaveform/_scores.json

{
  "version": "1.0.0",
  "skillHash": "sha256:61617e98107e9463bbf3be5c9154ff9549e8c280ccfc707e5a33507a9e584ac0",
  "scoredAt": "2026-05-13T14:16:58.493Z",
  "backend": "ollama",
  "model": "gpt-oss:20b",
  "quality": {
    "score": 80,
    "dimensions": {
      "clarity": "PASS",
      "completeness": "WEAK",
      "conciseness": "WEAK",
      "actionability": "PASS",
      "crossPlatform": "WEAK",
      "examples": "PASS"
    },
    "issues": [
      {
        "severity": "MEDIUM",
        "category": "completeness",
        "detail": "The skill does not cover error handling or edge cases."
      },
      {
        "severity": "MEDIUM",
        "category": "conciseness",
        "detail": "The skill contains verbose explanations and multiple examples."
      },
      {
        "severity": "MEDIUM",
        "category": "crossPlatform",
        "detail": "The skill assumes Linux/macOS and does not support Windows."
      }
    ]
  },
  "security": {
    "verdict": "SUSPICIOUS",
    "issues": [
      {
        "severity": "MEDIUM",
        "category": "checksumMissing",
        "detail": "Installation steps clone source code without verifying checksums."
      }
    ]
  },
  "impact": {
    "multiplier": 10,
    "baselineAvg": 0,
    "treatmentAvg": 100,
    "scenarios": [
      {
        "name": "generate-clip-waveform-png",
        "baseline": 0,
        "treatment": 100,
        "rationale": "Response A fully meets the rubric, Response B does not use audiowaveform and misses required flags."
      },
      {
        "name": "convert-dat-to-json-and-png",
        "baseline": 0,
        "treatment": 100,
        "rationale": "Response B follows the rubric exactly, while Response A does not use audiowaveform and misses the required steps."
      }
    ]
  }
}