skills/amass/_scores.json

{
  "version": "1.0.0",
  "skillHash": "sha256:6456f27803b6ac57460daae619b79a259956d64dfe1c688db6c1eaab0ff395a5",
  "scoredAt": "2026-05-13T13:55:31.860Z",
  "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 cover error handling or edge cases, only happy path."
      }
    ]
  },
  "security": {
    "verdict": "SAFE",
    "issues": []
  },
  "impact": {
    "multiplier": 1.63,
    "baselineAvg": 40,
    "treatmentAvg": 65,
    "scenarios": [
      {
        "name": "passive-json-enum",
        "baseline": 70,
        "treatment": 100,
        "rationale": "Response B fully satisfies the rubric by providing the exact amass command, specifying the JSON output file, and listing the first ten subdomains, whereas Response A omits the actual subdomain list."
      },
      {
        "name": "visual-network-graph",
        "baseline": 10,
        "treatment": 30,
        "rationale": "Response B is closer to the rubric, using the correct amass viz command, whereas Response A uses the wrong command and output names."
      }
    ]
  }
}