skills/alert-optimizer/_scores.json

{
  "version": "1.0.0",
  "skillHash": "sha256:19b3ed83274b8a6cac8d5e7d10e1318ccf2adb3f33cc08937779f708a6c56469",
  "scoredAt": "2026-05-13T13:53:07.861Z",
  "backend": "ollama",
  "model": "gpt-oss:20b",
  "quality": {
    "score": 93,
    "dimensions": {
      "clarity": "PASS",
      "completeness": "WEAK",
      "conciseness": "PASS",
      "actionability": "PASS",
      "crossPlatform": "PASS",
      "examples": "PASS"
    },
    "issues": [
      {
        "severity": "MEDIUM",
        "category": "completeness",
        "detail": "The skill does not handle error scenarios or edge cases such as missing platform information or invalid input."
      }
    ]
  },
  "security": {
    "verdict": "SAFE",
    "issues": []
  },
  "impact": {
    "multiplier": 6.3,
    "baselineAvg": 10,
    "treatmentAvg": 63,
    "scenarios": [
      {
        "name": "sentry-alert-creation",
        "baseline": 20,
        "treatment": 55,
        "rationale": "Response B better meets the rubric, providing a JSON rules array with correct tier prefixes, event_frequency conditions, filters, frequency caps, and auto-resolve for P3, though it omits one integration per rule; Response A lacks the required structure and key fields."
      },
      {
        "name": "pagerduty-escalation-runbook",
        "baseline": 0,
        "treatment": 70,
        "rationale": "Response B covers the escalation policy and a full runbook, while Response A only provides the policy JSON and omits the event rule and runbook."
      }
    ]
  }
}