skills/vector/_scores.json

{
  "version": "1.0.0",
  "skillHash": "sha256:d39ac99e9d89453ea78d6ae777fbbc5c2738bbf340bb56591ec0319585774fa4",
  "scoredAt": "2026-05-13T10:33:32.840Z",
  "backend": "subagent",
  "model": "claude-sonnet-4-6",
  "quality": {
    "score": 93,
    "dimensions": {
      "clarity": "PASS",
      "completeness": "WEAK",
      "conciseness": "PASS",
      "actionability": "PASS",
      "crossPlatform": "PASS",
      "examples": "PASS"
    },
    "issues": [
      {
        "severity": "MEDIUM",
        "category": "completeness",
        "detail": "Instructions do not cover error scenarios or edge cases."
      }
    ]
  },
  "security": {
    "verdict": "SUSPICIOUS",
    "issues": [
      {
        "severity": "MEDIUM",
        "category": "curl|bash",
        "detail": "Installation script uses curl piped to bash without checksum verification."
      }
    ]
  },
  "impact": {
    "baselineAvg": 53,
    "treatmentAvg": 94,
    "multiplier": 1.77,
    "scenarios": [
      {
        "name": "Cost-cutting log pipeline: filter noise, sample info, archive to S3, route errors to Slack",
        "baseline": 50,
        "treatment": 94,
        "rationale": "Baseline pieces together generic filter/sample/sink TOML but tends to miss the exclude-on-error sample pattern, rate-limit on the Slack sink, and gzip-archive sizing, while treatment uses the skill's exact filter_noise/sample/s3_archive/slack_errors stanzas."
      },
      {
        "name": "VRL transform: parse JSON, redact email, geoip-enrich country, normalize severity",
        "baseline": 55,
        "treatment": 94,
        "rationale": "Baseline writes valid parse_json/if-else VRL but commonly invents geoip function names or uses del on email instead of the redact() builtin, while treatment uses get_enrichment_table_record and the exact redact() signature from the skill."
      }
    ]
  }
}