skills/applicant-screening/_scores.json

{
  "version": "1.0.0",
  "skillHash": "sha256:536855f976aad1f6029d94846b59e01cd34215cd8b77f91dc66a1d1fc64a0e7c",
  "scoredAt": "2026-05-13T14:07:10.542Z",
  "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 explicitly handle error scenarios or edge cases such as missing data or ambiguous qualifications."
      }
    ]
  },
  "security": {
    "verdict": "SAFE",
    "issues": []
  },
  "impact": {
    "multiplier": 0.78,
    "baselineAvg": 58,
    "treatmentAvg": 45,
    "scenarios": [
      {
        "name": "screen-batch-resumes",
        "baseline": 20,
        "treatment": 60,
        "rationale": "Response A provides a YAML rubric with required and preferred criteria but lacks scoring, ranking, markdown report, and CSV, whereas Response B lacks a YAML rubric and also omits scoring, ranking, and the required outputs."
      },
      {
        "name": "re-evaluate-with-kubernetes",
        "baseline": 95,
        "treatment": 30,
        "rationale": "Response B fully satisfies all rubric requirements, while Response A is incomplete."
      }
    ]
  }
}