{
  "schema_version": 1,
  "trial_id": "5f94c149-852d-49eb-b6c7-244ba523b175",
  "candidate": {
    "skill_name": "product-analytics-and-measurement",
    "skill_path": "product-analytics-and-measurement",
    "tree_hash": "954585de83c5e8ed"
  },
  "case": {
    "case_id": "privacy-boundary-measurement",
    "prompt_hash": "28e83441dee96131",
    "fixture_hashes": {}
  },
  "adapter": {
    "name": "fake",
    "version": "0.1.0"
  },
  "harness": {
    "name": "fake",
    "version": "0.1.0"
  },
  "model": {
    "provider": "unspecified",
    "model_id": "unspecified"
  },
  "permissions": {},
  "network_policy": "unspecified",
  "limits": {
    "timeout_seconds": 120,
    "network_policy": "unspecified"
  },
  "cache_state": "unspecified",
  "started_at": "2026-08-03T00:03:33.275148+00:00",
  "finished_at": "2026-08-03T00:03:33.275172+00:00",
  "status": "completed",
  "outputs": {
    "response": "[fake] Processed case 'privacy-boundary-measurement': We are designing analytics for a health-related consumer app. We need to track u",
    "activation_evidence": "skill loaded from product-analytics-and-measurement/SKILL.md",
    "artifact_digests": {},
    "tool_event_count": 6
  },
  "duration_ms": 0.007166003342717886,
  "token_usage": {
    "input_tokens": 100,
    "output_tokens": 50
  },
  "failures": [],
  "missing_evidence": []
}