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{
"version": "1.0.0",
"skillHash": "sha256:f02d337441e6e9cabf8681de1302566f64c5a76caa2bfe3646293ba87a64f6ca",
"scoredAt": "2026-05-13T12:00:56.655Z",
"backend": "ollama",
"model": "gpt-oss:20b",
"quality": {
"score": 70,
"dimensions": {
"clarity": "PASS",
"completeness": "WEAK",
"conciseness": "PASS",
"actionability": "PASS",
"crossPlatform": "FAIL",
"examples": "WEAK"
},
"issues": [
{
"severity": "MEDIUM",
"category": "completeness",
"detail": "The skill does not cover error handling or edge cases."
},
{
"severity": "MEDIUM",
"category": "examples",
"detail": "The skill provides code snippets but lacks realistic usage demonstrations."
},
{
"severity": "HIGH",
"category": "crossPlatform",
"detail": "The skill is specific to 3ds Max and V-Ray, limiting compatibility with other AI agents."
}
]
},
"security": {
"verdict": "SAFE",
"issues": []
},
"impact": {
"multiplier": 3.13,
"baselineAvg": 23,
"treatmentAvg": 72,
"scenarios": [
{
"name": "configure-vray-interior-production",
"baseline": 20,
"treatment": 100,
"rationale": "Response A fully satisfies all rubric items, while Response B omits many required settings."
},
{
"name": "setup-corona-production",
"baseline": 30,
"treatment": 60,
"rationale": "Response A covers more of the required settings, while Response B omits several key parameters."
},
{
"name": "batch-network-render",
"baseline": 20,
"treatment": 55,
"rationale": "Response B covers most of the required API calls and logic, though it omits camera enumeration, whereas Response A is incomplete and stops short of implementing the core loop."
}
]
}
}

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