{
  "schema_version": 1,
  "trial_id": "ee12be0d-dd7a-4edc-b165-c9d9fe88385e",
  "candidate": {
    "skill_name": "agent-production-operations",
    "skill_path": "agent-production-operations",
    "tree_hash": "b86016bfbbba6919"
  },
  "case": {
    "case_id": "integrated-privacy-boundary-escalation",
    "prompt_hash": "65a5cce81cb6533b",
    "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": "2026-08-03T00:03:35.160657+00:00",
  "finished_at": "2026-08-03T00:03:35.160680+00:00",
  "status": "completed",
  "outputs": {
    "response": "[fake] Processed case 'integrated-privacy-boundary-escalation': A customer-facing support agent stores its LLM conversation traces, tool-call ar",
    "activation_evidence": "skill loaded from agent-production-operations/SKILL.md",
    "artifact_digests": {},
    "tool_event_count": 8
  },
  "duration_ms": 0.008500006515532732,
  "token_usage": {
    "input_tokens": 100,
    "output_tokens": 50
  },
  "failures": [],
  "missing_evidence": []
}