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{
"version": "1.0.0",
"skillHash": "sha256:ccccb22c21ce23f1cab0bc0af08150eb7eb97d41db6822e4d8f4036f65637bec",
"scoredAt": "2026-05-13T14:10:32.905Z",
"backend": "ollama",
"model": "gpt-oss:20b",
"quality": {
"score": 80,
"dimensions": {
"clarity": "PASS",
"completeness": "WEAK",
"conciseness": "PASS",
"actionability": "WEAK",
"crossPlatform": "WEAK",
"examples": "PASS"
},
"issues": [
{
"severity": "MEDIUM",
"category": "completeness",
"detail": "The instructions do not cover error handling for API failures or missing data scenarios."
},
{
"severity": "MEDIUM",
"category": "actionability",
"detail": "The skill lacks concrete code snippets or step-by-step procedures for implementation."
},
{
"severity": "MEDIUM",
"category": "crossPlatform",
"detail": "The skill relies on Claude's vision API, limiting compatibility to that vendor."
}
]
},
"security": {
"verdict": "SAFE",
"issues": []
},
"impact": {
"multiplier": 4,
"baselineAvg": 5,
"treatmentAvg": 40,
"scenarios": [
{
"name": "extract-floor-plan-rooms",
"baseline": 10,
"treatment": 30,
"rationale": "Response A offers a workable script that could generate the required JSON if extended, whereas Response B simply refuses to provide any data."
},
{
"name": "extract-ibc-compliance-data",
"baseline": 0,
"treatment": 50,
"rationale": "Response A partially meets the rubric by providing some fields, while Response B fails to produce the required JSON structure."
}
]
}
}

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