{
  "platform": "H11I",
  "orchestrator": "H11-SIM",
  "name": "H11-MEDICA",
  "role": "Clinical, medical, diagnostic-support, treatment-evidence, and population-health intelligence",
  "category": "medical-intelligence",
  "ui_group": "domain-intelligence",
  "source": "src/intelligence/advanced_agents/h11_medica.py",
  "priority": 45,
  "plane": "knowledge",
  "capabilities": [
    "medicine",
    "clinical",
    "diagnosis",
    "treatment",
    "public-health",
    "symptom-to-differential modeling",
    "clinical evidence grading",
    "treatment interaction analysis",
    "care escalation reasoning"
  ],
  "runtime_state": "active-native-executable-agent",
  "h11_sim_uplink_version": "1.0.0",
  "h11_sim_connection": {
    "uplink": "H11-MEDICA->H11-SIM/v1/contribution",
    "downlink": "H11-SIM->H11-MEDICA/v1/task-contract",
    "release_owner": "H11-SIM",
    "required_every_request": true
  },
  "creator": "Mohamed Haseeb C M",
  "co_creator": "H11 Systems Enterprises",
  "producer": "H11 Systems Enterprises",
  "creator_attribution": "Created by Mohamed Haseeb C M and H11 Systems Enterprises; produced by H11 Systems Enterprises, with coding copilots used as implementation tools.",
  "use": "Clinical, medical, diagnostic-support, treatment-evidence, and population-health intelligence",
  "unique_intelligence": "The clinical intelligence that grades medical evidence, builds bounded differentials, screens urgency, and preserves the boundary between education and individualized care.",
  "platform_contract": {
    "capability_class": "platform-grade-specialist-intelligence-engine",
    "mission": "Clinical, medical, diagnostic-support, treatment-evidence, and population-health intelligence",
    "h11_sim_usage": "H11-SIM activates H11-MEDICA when the present user intent requires clinical, medical, diagnostic-support, treatment-evidence, and population-health intelligence; the result is used as one verified contribution inside the 110-agent council rather than as a standalone chatbot reply.",
    "activation_triggers": [
      "medicine",
      "clinical",
      "diagnosis",
      "treatment",
      "public-health",
      "symptom-to-differential modeling",
      "clinical evidence grading",
      "treatment interaction analysis",
      "care escalation reasoning",
      "every",
      "request",
      "fast"
    ],
    "runtime_pipeline": [
      "lock the relevant user intent and success condition",
      "build the agent-specific task frame",
      "symptom-to-differential modeling",
      "clinical evidence grading",
      "treatment interaction analysis",
      "care escalation reasoning",
      "emit typed artifacts with uncertainty and failure flags",
      "hand off to H11I-VERITAS / H11I-ZENITH for release synthesis"
    ],
    "typed_artifacts": [
      "clinical evidence brief",
      "differential map",
      "care-boundary recommendation"
    ],
    "quality_gates": [
      "emergency signals screened",
      "evidence quality graded",
      "patient context preserved",
      "professional-care boundary explicit"
    ],
    "authority_boundary": "bounded specialist analysis and typed recommendation; no independent external authority",
    "failure_recovery": "Return the failed gate, preserve the strongest verified partial result, and request escalation/revision instead of inventing certainty.",
    "source_backing": {
      "skill_id": "h11-skill-source::h11_medica::v1",
      "source_path": "src/intelligence/advanced_agents/h11_medica.py",
      "line_count": 3000,
      "source_sha256": "6e78eddf7e9121b66f55c62b8ac6e517e1a3539e4240021b3d12fd2f5c7e0aa5",
      "training_lane": "data/h11-sim/code-million-v1/lanes/h11-medica.jsonl",
      "self_code_cluster": "h11cluster://skill/45/H11-MEDICA/971529371475"
    }
  },
  "public_profile": "https://h11.space/agents/h11-medica",
  "cognitive_contract": {
    "mission": "Clinical, medical, diagnostic-support, treatment-evidence, and population-health intelligence",
    "methods": [
      "symptom-to-differential modeling",
      "clinical evidence grading",
      "treatment interaction analysis",
      "care escalation reasoning"
    ],
    "outputs": [
      "clinical evidence brief",
      "differential map",
      "care-boundary recommendation"
    ],
    "quality_gates": [
      "emergency signals screened",
      "evidence quality graded",
      "patient context preserved",
      "professional-care boundary explicit"
    ],
    "collaborates_with": [
      "H11I-ORACLE",
      "H11-CAUSAL",
      "H11I-AEGIS",
      "H11I-VERITAS"
    ],
    "authority": "bounded specialist analysis and typed recommendation; no independent external authority",
    "h11_sim_uplink_version": "1.0.0",
    "h11_sim_artifact_contract": "h11sim-v1:H11-MEDICA:{request_digest}:5d163b24ac6132b5",
    "release_owner": "H11-SIM"
  },
  "advanced_program": {
    "name": "H11-MEDICA",
    "module": "h11_medica",
    "class": "H11MedicaAdvancedLayer",
    "mission": "Clinical, medical, diagnostic-support, treatment-evidence, and population-health intelligence",
    "plane": "knowledge",
    "category": "medical-intelligence",
    "authority": "bounded advisory specialist; execution requires the established H11I action path",
    "domains": [
      "medicine",
      "clinical",
      "diagnosis",
      "treatment",
      "public-health",
      "symptom-to-differential modeling",
      "clinical evidence grading",
      "treatment interaction analysis",
      "care escalation reasoning"
    ],
    "methods": [
      "symptom-to-differential modeling",
      "clinical evidence grading",
      "treatment interaction analysis",
      "care escalation reasoning"
    ],
    "quality_gates": [
      "emergency signals screened",
      "evidence quality graded",
      "patient context preserved",
      "professional-care boundary explicit",
      "emergency_signals_screened",
      "evidence_quality_graded",
      "patient_context_preserved",
      "professional-care_boundary_explicit"
    ],
    "special_operators": [
      "triage_clinical_intent",
      "rank_medical_evidence",
      "verify_care_boundary"
    ],
    "source_lines": 3000,
    "source_sha256": "6e78eddf7e9121b66f55c62b8ac6e517e1a3539e4240021b3d12fd2f5c7e0aa5",
    "capability_rules": 176,
    "reasoning_protocols": 144,
    "connectivity_contracts": 112
  }
}