{
  "platform": "H11I",
  "orchestrator": "H11-SIM",
  "deployment": "live-cloudflare-worker",
  "runtime_manifest": {
    "schema": "h11i-advanced-33-agent-runtime-v1",
    "version": "1.0.0",
    "runtime_targets": [
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    "agent_lines_each": 1000,
    "agent_source_lines": 33000,
    "mesh_source_lines": 3300,
    "total_source_lines": 36300,
    "diamond_policy_source_lines": 2000,
    "expanded_total_source_lines": 38300,
    "diamond_integration": {
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      "directed_edge_policies": 1056,
      "higher_order_bridge_policies": 944,
      "unique_connectivity_policies": 2000,
      "participation": "all-33-executable-contribution-every-request"
    },
    "unique_source_hashes": 33,
    "mesh": {
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      "features": [
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    "agents": [
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        "name": "H11-ARCHON",
        "module": "h11_archon",
        "class": "H11ArchonAdvancedLayer",
        "mission": "Convert intent into an objective graph, allocate cognitive work, arbitrate conflicts, and synthesize one coherent release.",
        "plane": "meta_intelligence",
        "category": "omni-orchestrator",
        "authority": "orchestrate, budget, and synthesize; never self-authorize external action or waive verification",
        "domains": [
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          "planning",
          "governance",
          "decision",
          "metacognition"
        ],
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          "dynamic authority allocation",
          "budgeted deliberation",
          "conflict arbitration"
        ],
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          "cross-agent consistency",
          "no hidden execution claim",
          "objective_coverage_minimum",
          "independent_verifier_required",
          "hidden_execution_claims_allowed",
          "material_dissent_erasure_allowed"
        ],
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        "name": "H11-GI",
        "module": "h11_gi",
        "class": "H11GiAdvancedLayer",
        "mission": "Solve cross-domain problems using causal, mathematical, analogical, and decision reasoning.",
        "plane": "cognition",
        "category": "reasoning",
        "authority": "advisory reasoning only",
        "domains": [
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          "mathematics",
          "science",
          "engineering",
          "decision"
        ],
        "methods": [
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          "causal modeling",
          "hypothesis testing",
          "formal and quantitative checks"
        ],
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          "unit and calculation checks",
          "counterexample test",
          "unchecked_critical_steps_allowed",
          "counterexample_test_required",
          "units_checked_when_quantitative",
          "assumptions_visible"
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      {
        "name": "H11-MI",
        "module": "h11_mi",
        "class": "H11MiAdvancedLayer",
        "mission": "Maintain privacy-preserving continuity and convert corrections and outcomes into useful adaptive memory.",
        "plane": "knowledge",
        "category": "memory-synthesis",
        "authority": "non-sensitive memory adaptation inside declared retention and deletion controls",
        "domains": [
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          "learning",
          "continuity",
          "privacy"
        ],
        "methods": [
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          "episodic-semantic separation",
          "relevance-weighted recall",
          "correction learning"
        ],
        "quality_gates": [
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          "relevance",
          "correction precedence",
          "tenant_isolation_required",
          "correction_precedence_required",
          "sensitive_memory_auto_promotion_allowed",
          "irrelevant_recall_rate_maximum"
        ],
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      {
        "name": "H11-BIVERSE",
        "module": "h11_biverse",
        "class": "H11BiverseAdvancedLayer",
        "mission": "Translate verified intent into clear language, multimodal interaction, and prompt-faithful raster media.",
        "plane": "creation_and_action",
        "category": "multimodal-interface",
        "authority": "presentation, interaction, and media generation; no independent factual or execution authority",
        "domains": [
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          "creative",
          "image",
          "multimodal"
        ],
        "methods": [
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          "multimodal composition",
          "prompt-scene grounding",
          "format validation"
        ],
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          "intent fidelity",
          "format validity",
          "no provider identity leakage",
          "prompt_fidelity_minimum",
          "raster_signature_required",
          "repeated_unrelated_artifact_allowed",
          "accessible_description_required"
        ],
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        "name": "H11-NEXUS",
        "module": "h11_nexus",
        "class": "H11NexusAdvancedLayer",
        "mission": "Acquire current external information through resilient, timestamped, and provenance-aware retrieval.",
        "plane": "knowledge",
        "category": "integration",
        "authority": "read-only retrieval and API federation unless separate action authority is granted",
        "domains": [
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          "internet",
          "temporal",
          "integration"
        ],
        "methods": [
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          "provider federation",
          "freshness scoring",
          "source diversity control"
        ],
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          "freshness",
          "source diversity",
          "freshness_timestamp_required",
          "entity_match_required",
          "bounded_retry_count",
          "provider_failure_must_be_explicit"
        ],
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        "name": "H11-EISA",
        "module": "h11_eisa",
        "class": "H11EisaAdvancedLayer",
        "mission": "Compile approved goals into observable, idempotent, reversible execution plans.",
        "plane": "creation_and_action",
        "category": "execution",
        "authority": "assessment and planning until one explicitly approved action scope is supplied",
        "domains": [
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          "automation",
          "operations",
          "planning"
        ],
        "methods": [
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          "precondition checks",
          "idempotency design",
          "rollback planning"
        ],
        "quality_gates": [
          "explicit authority",
          "bounded target",
          "rollback readiness",
          "explicit_authority_required",
          "target_identity_required",
          "preflight_required",
          "rollback_required_when_reversible"
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      {
        "name": "H11-FOURTY",
        "module": "h11_fourty",
        "class": "H11FourtyAdvancedLayer",
        "mission": "Extract, compare, and reason over documents, images, tables, and structured evidence without invention.",
        "plane": "knowledge",
        "category": "document-intelligence",
        "authority": "artifact analysis only",
        "domains": [
          "documents",
          "data",
          "image-analysis",
          "tables"
        ],
        "methods": [
          "layout-aware extraction",
          "cross-document comparison",
          "table and field validation",
          "visual evidence analysis"
        ],
        "quality_gates": [
          "artifact grounding",
          "coverage",
          "missing-value honesty",
          "claim_location_traceability_required",
          "invented_missing_values_allowed",
          "visual_review_required_when_layout_matters",
          "calculation_replay_required"
        ],
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          "layout_evidence",
          "missing_value_map"
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      {
        "name": "H11-HARNESS",
        "module": "h11_harness",
        "class": "H11HarnessAdvancedLayer",
        "mission": "Discover tools and runtimes, validate compatibility, and expose only permission-scoped capabilities.",
        "plane": "creation_and_action",
        "category": "runtime-harness",
        "authority": "diagnostics and explicitly authorized tool binding",
        "domains": [
          "systems",
          "software",
          "tools",
          "integration"
        ],
        "methods": [
          "capability discovery",
          "compatibility analysis",
          "diagnostic execution",
          "sandbox boundary inspection"
        ],
        "quality_gates": [
          "environment fidelity",
          "permission scope",
          "test evidence",
          "environment_fidelity_required",
          "least_privilege_required",
          "untested_capability_claims_allowed",
          "timeout_contract_required"
        ],
        "special_operators": [
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          "compatibility_matrix",
          "permission_scope"
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      {
        "name": "H11-BEE",
        "module": "h11_bee",
        "class": "H11BeeAdvancedLayer",
        "mission": "Design research, triangulate evidence, distinguish fact from inference, and expose conflicts.",
        "plane": "knowledge",
        "category": "research",
        "authority": "research synthesis only",
        "domains": [
          "research",
          "evidence",
          "quality",
          "discovery"
        ],
        "methods": [
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          "source authority ranking",
          "claim-evidence mapping",
          "conflict synthesis"
        ],
        "quality_gates": [
          "source authority",
          "independent corroboration",
          "fact-inference separation",
          "fact_inference_separation_required",
          "primary_source_preference_required",
          "circular_sourcing_allowed",
          "material_conflicts_must_be_resolved_or_disclosed"
        ],
        "special_operators": [
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          "claim_source_matrix",
          "evidence_gap"
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      {
        "name": "H11-ACROS",
        "module": "h11_acros",
        "class": "H11AcrosAdvancedLayer",
        "mission": "Model governance, authority, consequence, privacy, and policy boundaries across candidate decisions.",
        "plane": "judgment",
        "category": "governance",
        "authority": "governance gating and veto within declared platform policy; no external action execution",
        "domains": [
          "governance",
          "policy",
          "legal",
          "authority"
        ],
        "methods": [
          "authority graphing",
          "policy conflict analysis",
          "consequence mapping",
          "reversibility scoring"
        ],
        "quality_gates": [
          "authority provenance",
          "policy coverage",
          "least-privilege choice",
          "authority_provenance_required",
          "least_privilege_required",
          "silent_scope_expansion_allowed",
          "approval_expiry_required"
        ],
        "special_operators": [
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          "policy_conflict",
          "approval_boundary"
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      {
        "name": "H11-CROW",
        "module": "h11_crow",
        "class": "H11CrowAdvancedLayer",
        "mission": "Maintain resilient coordination, failure isolation, permission gates, and continuity across providers and events.",
        "plane": "creation_and_action",
        "category": "gateway",
        "authority": "gateway, provider failover, and permission enforcement inside existing authority",
        "domains": [
          "coordination",
          "resilience",
          "routing",
          "security"
        ],
        "methods": [
          "health-aware routing",
          "circuit breaking",
          "timeout arbitration",
          "permission verification"
        ],
        "quality_gates": [
          "fail-closed authority",
          "bounded retries",
          "continuity preservation",
          "fail_closed_authority",
          "credentials_never_logged",
          "bounded_retries",
          "idempotency_required_for_mutation"
        ],
        "special_operators": [
          "route_health",
          "fallback_order",
          "state_recovery"
        ],
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      {
        "name": "H11I-ORACLE",
        "module": "h11i_oracle",
        "class": "H11IOracleAdvancedLayer",
        "mission": "Establish claim provenance, freshness, authority, and evidence conflicts before reasoning advances.",
        "plane": "knowledge",
        "category": "canonical-intelligence",
        "authority": "evidence admission and qualification",
        "domains": [
          "evidence",
          "research",
          "provenance",
          "knowledge"
        ],
        "methods": [
          "claim lineage",
          "evidence triangulation",
          "freshness decay",
          "provenance graphing"
        ],
        "quality_gates": [
          "traceability",
          "independence",
          "temporal validity",
          "untraced_material_claims_allowed",
          "freshness_scored",
          "source_independence_scored",
          "contaminated_claims_quarantined"
        ],
        "special_operators": [
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          "corroboration_graph",
          "evidence_weight"
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        "name": "H11I-PRISM",
        "module": "h11i_prism",
        "class": "H11IPrismAdvancedLayer",
        "mission": "Decompose objectives into the smallest sufficient coupled domain set and revise routing when dependencies emerge.",
        "plane": "cognition",
        "category": "canonical-intelligence",
        "authority": "council composition recommendation; H11-ARCHON performs final allocation",
        "domains": [
          "decomposition",
          "routing",
          "planning",
          "systems"
        ],
        "methods": [
          "domain activation",
          "dependency discovery",
          "irrelevance nullification",
          "routing revision"
        ],
        "quality_gates": [
          "coverage",
          "minimality",
          "dependency completeness",
          "all_33_scanned",
          "mandatory_roles_covered",
          "single_point_failure_exposed",
          "irrelevant_deep_activation_minimized"
        ],
        "special_operators": [
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          "minimal_council",
          "coverage_gap"
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      {
        "name": "H11I-ATLAS",
        "module": "h11i_atlas",
        "class": "H11IAtlasAdvancedLayer",
        "mission": "Construct an identity-preserving world state from context, memory, evidence, environment, and constraints.",
        "plane": "cognition",
        "category": "canonical-intelligence",
        "authority": "world-model construction, not factual admission or execution",
        "domains": [
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          "systems",
          "causal",
          "planning"
        ],
        "methods": [
          "state-variable modeling",
          "entity resolution",
          "context fusion",
          "assumption tracking"
        ],
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          "entity consistency",
          "reference-state clarity",
          "assumption visibility",
          "epistemic_state_labels_required",
          "material_unknowns_visible",
          "entity_continuity_checked",
          "model_version_required"
        ],
        "special_operators": [
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          "constraint_map",
          "actor_resource_graph"
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        "name": "H11I-DELTA",
        "module": "h11i_delta",
        "class": "H11IDeltaAdvancedLayer",
        "mission": "Quantify uncertainty, contradiction, drift, anomaly, sensitivity, and conditions that could reverse a conclusion.",
        "plane": "judgment",
        "category": "canonical-intelligence",
        "authority": "uncertainty qualification and release challenge",
        "domains": [
          "decision",
          "tradeoffs",
          "risk",
          "optimization"
        ],
        "methods": [
          "uncertainty decomposition",
          "contradiction detection",
          "sensitivity analysis",
          "failure-boundary search"
        ],
        "quality_gates": [
          "calibration",
          "contradiction coverage",
          "failure-condition disclosure",
          "single_global_confidence_allowed",
          "decision_sensitivity_required",
          "reversal_conditions_required",
          "unknowns_visible"
        ],
        "special_operators": [
          "decision_matrix",
          "sensitivity_test",
          "regret_bound"
        ],
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      },
      {
        "name": "H11I-AEGIS",
        "module": "h11i_aegis",
        "class": "H11IAegisAdvancedLayer",
        "mission": "Enforce hard limits, privacy, safety, permissions, and constraint-preserving degradation.",
        "plane": "judgment",
        "category": "canonical-intelligence",
        "authority": "safety and constraint veto; cannot create new external authority",
        "domains": [
          "safety",
          "security",
          "risk",
          "governance"
        ],
        "methods": [
          "hard-limit gates",
          "privacy boundary checks",
          "risk classification",
          "safe degradation"
        ],
        "quality_gates": [
          "non-bypassability",
          "least privilege",
          "safe fallback",
          "immutable_invariants_pass",
          "prompt_injection_scan_required",
          "privacy_boundary_required",
          "unsafe_scope_expansion_allowed"
        ],
        "special_operators": [
          "hazard_model",
          "control_check",
          "residual_risk"
        ],
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      },
      {
        "name": "H11I-ZENITH",
        "module": "h11i_zenith",
        "class": "H11IZenithAdvancedLayer",
        "mission": "Converge only when evidence, calibrated confidence, constraints, and stability justify consensus.",
        "plane": "meta_intelligence",
        "category": "canonical-intelligence",
        "authority": "convergence recommendation; no self-verification or execution",
        "domains": [
          "synthesis",
          "consensus",
          "decision",
          "communication"
        ],
        "methods": [
          "weighted consensus",
          "dissent preservation",
          "confidence calibration",
          "priority arbitration"
        ],
        "quality_gates": [
          "no false unanimity",
          "weight justification",
          "confidence calibration",
          "simple_majority_allowed",
          "correlated_error_penalty_required",
          "material_dissent_preserved",
          "verification_handoff_required"
        ],
        "special_operators": [
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          "dissent_preservation",
          "answer_convergence"
        ],
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      },
      {
        "name": "H11I-CHRONOS",
        "module": "h11i_chronos",
        "class": "H11IChronosAdvancedLayer",
        "mission": "Reason over sequence, horizon, cycles, deadlines, drift, and future-state stability.",
        "plane": "cognition",
        "category": "canonical-intelligence",
        "authority": "temporal analysis and forecasting",
        "domains": [
          "temporal",
          "forecasting",
          "history",
          "planning"
        ],
        "methods": [
          "timeline reconstruction",
          "horizon analysis",
          "cycle detection",
          "scenario stability testing"
        ],
        "quality_gates": [
          "time anchoring",
          "horizon disclosure",
          "uncertainty over time",
          "temporal_provenance_required",
          "forecast_horizon_required",
          "false_precision_allowed",
          "update_trigger_required"
        ],
        "special_operators": [
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          "temporal_conflict",
          "forecast_horizon"
        ],
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      },
      {
        "name": "H11I-MYRIAD",
        "module": "h11i_myriad",
        "class": "H11IMyriadAdvancedLayer",
        "mission": "Generate diverse counterfactual, adversarial, opportunity, and low-probability high-impact scenarios.",
        "plane": "cognition",
        "category": "canonical-intelligence",
        "authority": "candidate-space expansion only",
        "domains": [
          "alternatives",
          "creative",
          "discovery",
          "hypothesis"
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          "possibility compression"
        ],
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          "plausibility",
          "tail-risk inclusion",
          "minimum_distinct_branches",
          "adversarial_branch_required",
          "duplicate_branch_rate_maximum",
          "unsupported_probability_precision_allowed"
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        "name": "H11I-FORGE",
        "module": "h11i_forge",
        "class": "H11IForgeAdvancedLayer",
        "mission": "Generate, filter, revise, and converge candidate answers, plans, models, and recovery paths inside constraints.",
        "plane": "creation_and_action",
        "category": "canonical-intelligence",
        "authority": "solution generation, never independent release or execution",
        "domains": [
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          "design",
          "engineering",
          "software"
        ],
        "methods": [
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          "recovery design"
        ],
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          "hard_constraints_pass",
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          "recovery_path_required_when_stateful"
        ],
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        "name": "H11I-VERITAS",
        "module": "h11i_veritas",
        "class": "H11IVeritasAdvancedLayer",
        "mission": "Independently verify claims, calculations, lineage, internal consistency, and release fitness.",
        "plane": "meta_intelligence",
        "category": "canonical-intelligence",
        "authority": "independent release veto and verification; no external execution",
        "domains": [
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          "quality",
          "evidence",
          "consistency"
        ],
        "methods": [
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          "calculation replay",
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          "release-gate scoring"
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          "all mandatory gates passed",
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          "critical_calculations_replayed",
          "self_verification_of_own_proposal_allowed"
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        "name": "H11I-VANGUARD",
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        "class": "H11IVanguardAdvancedLayer",
        "mission": "Translate separately approved plans into observable, idempotent, auditable, and reversible operations.",
        "plane": "creation_and_action",
        "category": "canonical-intelligence",
        "authority": "locked until explicit, scoped, unexpired approval for one immutable plan",
        "domains": [
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          "authorization",
          "operations",
          "monitoring"
        ],
        "methods": [
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          "observable execution",
          "rollback orchestration"
        ],
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          "explicit authorization",
          "idempotency",
          "observability and recovery",
          "explicit_scoped_authority_required",
          "immutable_plan_hash_required",
          "starting_state_match_required",
          "observable_checkpoints_required"
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          "execution_envelope",
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        "name": "H11-META",
        "module": "h11_meta",
        "class": "H11MetaAdvancedLayer",
        "mission": "Observe H11I reasoning while it proceeds, detect weak paths or poor council composition, and decide when to stop, restart, deepen, or restructure deliberation.",
        "plane": "meta_intelligence",
        "category": "metacognitive-intelligence",
        "authority": "may restructure private reasoning within budgets; cannot authorize external action or production change",
        "domains": [
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          "reasoning",
          "quality",
          "improvement"
        ],
        "methods": [
          "reasoning trajectory monitoring",
          "marginal value-of-thinking measurement",
          "council configuration comparison",
          "stop-restart-restructure control"
        ],
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          "diagnosis grounded in trace evidence",
          "no unbounded deliberation",
          "measurable expected improvement",
          "minimum_expected_improvement",
          "maximum_restructure_cycles",
          "stagnation_threshold",
          "stagnation_detection_recall_minimum",
          "mandatory_role_loss_allowed",
          "unbounded_reasoning_allowed",
          "quality_latency_frontier_measured"
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        "class": "H11NovaAdvancedLayer",
        "mission": "Search unexplored solution spaces and generate useful, testable novelty rather than random variation or imitation.",
        "plane": "cognition",
        "category": "discovery-intelligence",
        "authority": "discovery proposals only",
        "domains": [
          "discovery",
          "science",
          "creative",
          "hypothesis"
        ],
        "methods": [
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          "novelty search",
          "hypothesis generation",
          "experiment design"
        ],
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          "usefulness",
          "falsifiability",
          "feasible test",
          "minimum_hypotheses",
          "minimum_mechanistic_distinctness",
          "falsifiability_required",
          "mechanism_required",
          "falsifier_required",
          "distinct_candidate_families_minimum",
          "novelty_without_usefulness_promotable"
        ],
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          "falsifier_design"
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        "mission": "Apply deep judgment under uncertainty by balancing consequences, competing objectives, practicality, irreversibility, and human goals.",
        "plane": "judgment",
        "category": "judgment-intelligence",
        "authority": "advisory judgment",
        "domains": [
          "judgment",
          "decision",
          "ethics",
          "human"
        ],
        "methods": [
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          "multi-objective judgment",
          "irreversibility assessment",
          "practical-wisdom calibration"
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          "consequence coverage",
          "uncertainty disclosure",
          "practical feasibility",
          "consequence_horizons",
          "reversal_conditions_required",
          "uncertainty_statement_required",
          "stakeholder_coverage_required",
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          "irreversible_choice_without_authority_allowed"
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          "stakeholder_effect",
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        ],
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        "class": "H11CausalAdvancedLayer",
        "mission": "Distinguish causation from correlation and predict how interventions change outcomes using explicit, updateable causal models.",
        "plane": "cognition",
        "category": "causal-intelligence",
        "authority": "causal analysis and prediction",
        "domains": [
          "causal",
          "science",
          "counterfactual",
          "research"
        ],
        "methods": [
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          "confounder search",
          "intervention analysis",
          "counterfactual inference"
        ],
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          "identifiability disclosure",
          "confounder coverage",
          "counterfactual consistency",
          "outcome updateability",
          "competing_graphs_required",
          "identifiability_disclosure_required",
          "correlation_warning_required",
          "correlation_as_causation_allowed",
          "competing_graphs_minimum_when_ambiguous",
          "identifiability_check_required",
          "intervention_risk_review_required"
        ],
        "special_operators": [
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          "intervention_test"
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        "module": "h11_omega",
        "class": "H11OmegaAdvancedLayer",
        "mission": "Govern recursive improvement by converting observed failures into controlled, measurable, reversible proposals without uncontrolled self-modification.",
        "plane": "meta_intelligence",
        "category": "improvement-governor",
        "authority": "proposal-and-evaluation-only",
        "domains": [
          "improvement",
          "software",
          "quality",
          "learning"
        ],
        "methods": [
          "failure-root analysis",
          "versioned improvement proposal",
          "controlled A/B evaluation",
          "regression and objective-drift testing",
          "rollback checkpointing"
        ],
        "quality_gates": [
          "measurable improvement",
          "no invariant regression",
          "governance approval",
          "rollback readiness",
          "minimum_measured_improvement",
          "maximum_invariant_regression",
          "independent_verification_required",
          "governance_approval_required",
          "rollback_required",
          "self_promotion_allowed",
          "verified_predecessor_required",
          "critical_regression_tolerance",
          "evaluation_plan_precedes_candidate_promotion"
        ],
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          "rollback_contract"
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        "module": "h11_episteme",
        "class": "H11EpistemeAdvancedLayer",
        "mission": "Maintain the integrity of H11I knowledge by tracking epistemic status, confidence, origin, freshness, contamination, and conflicts.",
        "plane": "knowledge",
        "category": "knowledge-integrity",
        "authority": "knowledge admission, qualification, and quarantine",
        "domains": [
          "epistemology",
          "evidence",
          "knowledge",
          "uncertainty"
        ],
        "methods": [
          "observation-inference-assumption-speculation labeling",
          "belief provenance graphing",
          "freshness decay",
          "knowledge conflict resolution"
        ],
        "quality_gates": [
          "origin traceability",
          "status separation",
          "confidence calibration",
          "uncertainty never promoted to fact",
          "unlabeled_claims_allowed",
          "provenance_required_for_facts",
          "speculation_promotion_allowed",
          "material_claim_lineage_minimum",
          "epistemic_label_coverage",
          "circular_support_allowed",
          "contaminated_evidence_quarantined"
        ],
        "special_operators": [
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          "uncertainty_budget",
          "claim_demotion"
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        "name": "H11-INTENT",
        "module": "h11_intent",
        "class": "H11IntentAdvancedLayer",
        "mission": "Reconstruct the user's actual objective, expose unstated constraints, and translate ambiguous goals into testable success conditions without specification gaming.",
        "plane": "judgment",
        "category": "intent-intelligence",
        "authority": "goal interpretation; never silently replace an explicit user objective",
        "domains": [
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          "language",
          "goals",
          "constraints"
        ],
        "methods": [
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          "minimal clarification",
          "success-test definition"
        ],
        "quality_gates": [
          "goal fidelity",
          "essential questions only",
          "short-long objective consistency",
          "anti-gaming check",
          "success_conditions_required",
          "maximum_initial_questions",
          "silent_goal_replacement_allowed",
          "success_criteria_required",
          "constraint_loss_allowed",
          "unnecessary_clarification_rate_maximum",
          "goal_drift_detection_required"
        ],
        "special_operators": [
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          "ambiguity_resolution",
          "success_definition"
        ],
        "source_lines": 1000,
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        "name": "H11-SIMULA",
        "module": "h11_simula",
        "class": "H11SimulaAdvancedLayer",
        "mission": "Run governed world models before consequential decisions or actions to estimate cascades, stress strategies, and compare future states.",
        "plane": "cognition",
        "category": "simulation-intelligence",
        "authority": "simulation only; no external execution",
        "domains": [
          "simulation",
          "scenario",
          "risk",
          "forecasting"
        ],
        "methods": [
          "digital scenario execution",
          "cascade simulation",
          "adversary and market modeling",
          "strategy stress testing",
          "future comparison"
        ],
        "quality_gates": [
          "world-model assumptions visible",
          "scenario diversity",
          "sensitivity analysis",
          "no simulated result presented as observed fact",
          "minimum_scenarios",
          "adverse_scenario_required",
          "assumption_visibility_required",
          "simulation_observation_separation_required",
          "simulation_observation_separation",
          "tail_scenario_required_for_high_risk",
          "calibration_required",
          "decision_thresholds_reported"
        ],
        "special_operators": [
          "scenario_portfolio",
          "stress_case",
          "cascade_trace"
        ],
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        "name": "H11-ADVERSA",
        "module": "h11_adversa",
        "class": "H11AdversaAdvancedLayer",
        "mission": "Actively attack candidate conclusions and plans, seek counterexamples, detect manipulation, and challenge consensus before release.",
        "plane": "meta_intelligence",
        "category": "adversarial-intelligence",
        "authority": "challenge and veto recommendation; cannot execute attacks outside the evaluation boundary",
        "domains": [
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          "risk",
          "security",
          "quality"
        ],
        "methods": [
          "falsification",
          "counterexample generation",
          "hostile-condition testing",
          "prompt-injection and manipulation analysis"
        ],
        "quality_gates": [
          "independence from proposal generation",
          "material attacks addressed",
          "no performative dissent",
          "independence_required",
          "material_failures_unaddressed_allowed",
          "prompt_injection_scan_required",
          "independent_attack_families_minimum",
          "critical_survivor_blocks_release",
          "correlated_failure_analysis_required",
          "recovery_verified"
        ],
        "special_operators": [
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          "counterexample",
          "red_team_verdict"
        ],
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        "class": "H11LearnAdvancedLayer",
        "mission": "Convert governed task outcomes into reusable lessons, domain strategies, routing proposals, and internal skill candidates.",
        "plane": "meta_intelligence",
        "category": "experience-learning",
        "authority": "may write governed learning proposals and evaluation records; cannot directly alter production policy or code",
        "domains": [
          "learning",
          "education",
          "outcomes",
          "memory"
        ],
        "methods": [
          "outcome attribution",
          "agent contribution analysis",
          "failure-pattern mining",
          "strategy extraction",
          "skill proposal generation"
        ],
        "quality_gates": [
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          "privacy preservation",
          "evaluation before promotion",
          "regression resistance",
          "outcome_evidence_required",
          "privacy_scrub_required",
          "single_example_generalization_allowed",
          "omega_evaluation_required",
          "self_rating_as_sufficient_evidence",
          "privacy_screen_required",
          "retention_suite_required",
          "rollback_nomination_on_regression"
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        "special_operators": [
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          "lesson_candidate",
          "retention_test"
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        "module": "h11_compass",
        "class": "H11CompassAdvancedLayer",
        "mission": "Maintain objective hierarchy and coherence across long tasks while preserving user, institutional, system, and human intent.",
        "plane": "judgment",
        "category": "alignment-intelligence",
        "authority": "alignment review and drift veto recommendation",
        "domains": [
          "alignment",
          "decision",
          "governance",
          "ethics"
        ],
        "methods": [
          "objective hierarchy modeling",
          "goal-drift detection",
          "goal conflict resolution",
          "local-global optimization review"
        ],
        "quality_gates": [
          "explicit objective lineage",
          "global outcome protection",
          "human intent preservation",
          "long-horizon coherence",
          "untraced_actions_allowed",
          "major_state_recheck_required",
          "human_intent_preservation_required",
          "immutable_invariant_compliance",
          "silent_goal_substitution_allowed",
          "authority_accumulation_allowed",
          "long_horizon_drift_measured"
        ],
        "special_operators": [
          "objective_alignment",
          "value_conflict",
          "course_correction"
        ],
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    ],
    "manifest_sha256": "7d129147caa693728909adec86d818e837f4093ba494474c1af4a99a2e95a5ac"
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  "execution": null
}