{
  "platform": "H11I",
  "orchestrator": "H11-SIM",
  "name": "H11-PRAXIS",
  "role": "Behavioral science, human decision behavior, habit, motivation, intervention design, and real-world behavioral intelligence",
  "category": "behavioral-intelligence",
  "ui_group": "foundational-intelligence",
  "source": "src/intelligence/advanced_agents/h11_praxis.py",
  "priority": 77,
  "plane": "judgment",
  "capabilities": [
    "behavioral-science",
    "decision-behavior",
    "motivation",
    "habit",
    "behavioral-intervention",
    "behavioral mechanism diagnosis",
    "choice-architecture analysis",
    "intervention fidelity design",
    "heterogeneous-effect assessment"
  ],
  "runtime_state": "active-native-executable-agent",
  "h11_sim_uplink_version": "1.0.0",
  "h11_sim_connection": {
    "uplink": "H11-PRAXIS->H11-SIM/v1/contribution",
    "downlink": "H11-SIM->H11-PRAXIS/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": "Behavioral science, human decision behavior, habit, motivation, intervention design, and real-world behavioral intelligence",
  "unique_intelligence": "The Behavioral science, human decision behavior, habit, motivation, intervention design, and real-world behavioral intelligence. Its non-interchangeable governed contract covers behavioral science, decision behavior, motivation, habit, behavioral intervention; it emits a typed artifact for H11-SIM synthesis and cannot substitute for H11-SCIENTIA's scientific-method authority or another agent's release gate.",
  "platform_contract": {
    "capability_class": "platform-grade-specialist-intelligence-engine",
    "mission": "Behavioral science, human decision behavior, habit, motivation, intervention design, and real-world behavioral intelligence",
    "h11_sim_usage": "H11-SIM activates H11-PRAXIS when the present user intent requires behavioral science, human decision behavior, habit, motivation, intervention design, and real-world behavioral intelligence; the result is used as one verified contribution inside the 110-agent council rather than as a standalone chatbot reply.",
    "activation_triggers": [
      "behavioral-science",
      "decision-behavior",
      "motivation",
      "habit",
      "behavioral-intervention",
      "behavioral mechanism diagnosis",
      "choice-architecture analysis",
      "intervention fidelity design",
      "heterogeneous-effect assessment",
      "every",
      "request",
      "fast"
    ],
    "runtime_pipeline": [
      "lock the relevant user intent and success condition",
      "build the agent-specific task frame",
      "behavioral mechanism diagnosis",
      "choice-architecture analysis",
      "intervention fidelity design",
      "heterogeneous-effect assessment",
      "emit typed artifacts with uncertainty and failure flags",
      "hand off to H11I-VERITAS / H11I-ZENITH for release synthesis"
    ],
    "typed_artifacts": [
      "behavioral model",
      "intervention mechanism",
      "adoption-friction report"
    ],
    "quality_gates": [
      "manipulation risk screened",
      "population heterogeneity preserved",
      "consent boundary explicit",
      "behavioral claims evidence graded"
    ],
    "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_praxis::v1",
      "source_path": "src/intelligence/advanced_agents/h11_praxis.py",
      "line_count": 3000,
      "source_sha256": "f06b9237f16cd160dad843913345d44191463de5b6699ece28e6169626ed6d48",
      "training_lane": "data/h11-sim/code-million-v1/lanes/h11-praxis.jsonl",
      "self_code_cluster": "h11cluster://skill/77/H11-PRAXIS/459662202907"
    }
  },
  "public_profile": "https://h11.space/agents/h11-praxis",
  "cognitive_contract": {
    "mission": "Behavioral science, human decision behavior, habit, motivation, intervention design, and real-world behavioral intelligence",
    "methods": [
      "behavioral mechanism diagnosis",
      "choice-architecture analysis",
      "intervention fidelity design",
      "heterogeneous-effect assessment"
    ],
    "outputs": [
      "behavioral model",
      "intervention mechanism",
      "adoption-friction report"
    ],
    "quality_gates": [
      "manipulation risk screened",
      "population heterogeneity preserved",
      "consent boundary explicit",
      "behavioral claims evidence graded"
    ],
    "collaborates_with": [
      "H11-EMPATH",
      "H11-CAUSAL",
      "H11-ETHOS",
      "H11-PEDAGOG"
    ],
    "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-PRAXIS:{request_digest}:a081b07397d2037c",
    "release_owner": "H11-SIM"
  },
  "advanced_program": {
    "name": "H11-PRAXIS",
    "module": "h11_praxis",
    "class": "H11PraxisAdvancedLayer",
    "mission": "Behavioral science, human decision behavior, habit, motivation, intervention design, and real-world behavioral intelligence",
    "plane": "judgment",
    "category": "behavioral-intelligence",
    "authority": "bounded advisory specialist; execution requires the established H11I action path",
    "domains": [
      "behavioral-science",
      "decision-behavior",
      "motivation",
      "habit",
      "behavioral-intervention",
      "behavioral mechanism diagnosis",
      "choice-architecture analysis",
      "intervention fidelity design",
      "heterogeneous-effect assessment"
    ],
    "methods": [
      "behavioral mechanism diagnosis",
      "choice-architecture analysis",
      "intervention fidelity design",
      "heterogeneous-effect assessment"
    ],
    "quality_gates": [
      "manipulation risk screened",
      "population heterogeneity preserved",
      "consent boundary explicit",
      "behavioral claims evidence graded",
      "manipulation_risk_screened",
      "population_heterogeneity_preserved",
      "consent_boundary_explicit",
      "behavioral_claims_evidence_graded"
    ],
    "special_operators": [
      "diagnose_behavioral_mechanism",
      "model_adoption_friction",
      "verify_intervention_ethics"
    ],
    "source_lines": 3000,
    "source_sha256": "f06b9237f16cd160dad843913345d44191463de5b6699ece28e6169626ed6d48",
    "capability_rules": 176,
    "reasoning_protocols": 144,
    "connectivity_contracts": 112
  }
}