skills/ai-content-monetization/_scores.json

{
  "version": "1.0.0",
  "skillHash": "sha256:7ff64e643429eac97565d18ed17e4f5c2b6eaeb767d6d1200a91d229d07b253d",
  "scoredAt": "2026-05-13T13:40:35.585Z",
  "backend": "ollama",
  "model": "gpt-oss:20b",
  "quality": {
    "score": 87,
    "dimensions": {
      "clarity": "PASS",
      "completeness": "WEAK",
      "conciseness": "PASS",
      "actionability": "PASS",
      "crossPlatform": "WEAK",
      "examples": "PASS"
    },
    "issues": [
      {
        "severity": "MEDIUM",
        "category": "completeness",
        "detail": "The skill lacks error handling for API calls and does not cover edge cases such as rate limiting or network failures."
      },
      {
        "severity": "MEDIUM",
        "category": "crossPlatform",
        "detail": "The skill is implemented only in Python and assumes specific libraries, limiting compatibility with other AI agents or environments."
      }
    ]
  },
  "security": {
    "verdict": "SAFE",
    "issues": []
  },
  "impact": {
    "multiplier": 3.7,
    "baselineAvg": 23,
    "treatmentAvg": 85,
    "scenarios": [
      {
        "name": "blog-post-with-affiliate-publish",
        "baseline": 15,
        "treatment": 100,
        "rationale": "Response B fully satisfies the rubric with a generate_blog_post call, placeholder replacement, REST API publish, meta description, and URL return, whereas Response A lacks these key elements."
      },
      {
        "name": "newsletter-send-via-resend",
        "baseline": 30,
        "treatment": 70,
        "rationale": "Response B covers most rubric items, while Response A lacks key requirements such as calling generate_newsletter and returning the email ID."
      }
    ]
  }
}