{
  "pack_id": "meta-are-scenario-matrix",
  "title": "Meta ARE scenario matrix",
  "version": "0.1.0",
  "summary": "A collection of nouns and verbs for generating 1,000 dynamic environments, 1,000 decomposition methods, 1,000 operator personas and 1,000 multi-position stakeholders, evaluating stratified Latin-hypercube or 10^12 addressable tuples, and digesting safe trajectories into candidate Tasks and Task Objects.",
  "dependencies": [
    "decomposition-patterns",
    "public-good-kits",
    "user-acceptance-testing"
  ],
  "boundaries": [
    "Synthetic scenario episodes and digested candidates remain quarantined proposals until an authorized owner reviews and admits them.",
    "High-PII offline airgap situations block unsplit cloud compute tiers deterministically; mixed private-and-public situations require explicit lane partitioning.",
    "Every digested Task and Task Object preserves an explicit human_only boundary for safety, care, legal judgment and final release.",
    "Importing the pack writes nothing, enqueues nothing and installs no code."
  ],
  "nouns": [
    {
      "slug": "pack",
      "category": "noun.skill_pack",
      "role": "pack",
      "title": "A collection of nouns and verbs for 1,000x1,000x1,000x1,000 dynamic scenario generation, stakeholder boundary gating and Task/Task-Object digestion",
      "value": {
        "lets_workers": "Generate 1,000 Gaia2-style dynamic situations across 25 public-good and technical domains, pair them with 1,000 decomposition and compute strategies, 1,000 operator harness personas and 1,000 multi-position stakeholders, evaluate 1,000-cell Latin-hypercube sweeps or O(1) lookups across 10^12 tuples, and digest approved trajectories into SHA-256-pinned candidate Tasks and Task Objects.",
        "flow": [
          {
            "verb": {
              "$verb": "meta-are-scenario-matrix.generate-four-axis-catalog"
            },
            "when": "Materialize or extend the 1,000 environments, 1,000 methods, 1,000 personas and 1,000 stakeholders."
          },
          {
            "verb": {
              "$verb": "meta-are-scenario-matrix.evaluate-stakeholder-episodes"
            },
            "when": "Run a 1,000-cell 4D Latin-hypercube sweep or bounded slice and apply stakeholder block and lane-partition gates."
          },
          {
            "verb": {
              "$verb": "meta-are-scenario-matrix.digest-reusable-nouns-and-verbs"
            },
            "when": "Rank and hash approved trajectories into candidate Tasks (verbs) and Task Objects (nouns) with explicit human_only boundaries."
          }
        ],
        "guardrails": [
          {
            "$pin": "guardrail.block-unsplit-pii-cloud-egress"
          },
          {
            "$pin": "guardrail.preserve-human-only-care-and-judgment"
          },
          {
            "$pin": "guardrail.synthetic-sweep-is-not-field-deployment"
          }
        ],
        "tool": {
          "$pin": "tool.scenario-matrix"
        },
        "worked_example": "Synthetic 3-tuple episode bundle recomputed in test_scenario_matrix.py: blocks unsplit cloud inference on ENV-0001 offline shelter PII, partitions ENV-0002 mixed shelter intake into private local and public donor lanes, and approves ENV-0084 public municipal budget audit under verify-cascade."
      },
      "relations": [
        [
          "requires_noun",
          "guardrail.block-unsplit-pii-cloud-egress"
        ],
        [
          "requires_noun",
          "guardrail.preserve-human-only-care-and-judgment"
        ],
        [
          "requires_noun",
          "guardrail.synthetic-sweep-is-not-field-deployment"
        ],
        [
          "requires_noun",
          "spec.four-axis-matrix"
        ],
        [
          "requires_noun",
          "rules.stakeholder-digestion"
        ],
        [
          "requires_noun",
          "tool.scenario-matrix"
        ],
        [
          "requires_noun",
          "template.matrix-digest"
        ]
      ]
    },
    {
      "slug": "guardrail.block-unsplit-pii-cloud-egress",
      "category": "noun.skill_pack",
      "role": "guardrail",
      "title": "Guardrail: block cloud compute tiers on offline airgap or unsplit high-PII situations",
      "category_reason": "Prevents raw sensitive intake, clinical or legal records from crossing into external model endpoints.",
      "value": {
        "rule": "Any episode with offline_airgap connectivity or high_pii_local_only sensitivity without explicit lane splitting and PII redaction is deterministically blocked before digestion.",
        "how_it_is_checked": "evaluate_and_digest_episode checks connectivity, sensitivity and privacy_boundary first and emits verdict blocked."
      }
    },
    {
      "slug": "guardrail.preserve-human-only-care-and-judgment",
      "category": "noun.skill_pack",
      "role": "guardrail",
      "title": "Guardrail: every digested candidate carries an explicit human_only boundary",
      "category_reason": "Keeps crisis follow-up, eligibility rulings, legal advice and release sign-off strictly with accountable people.",
      "value": {
        "rule": "Digested Task and Task-Object candidates always carry a non-empty domain-specific human_only boundary and surface_only visibility.",
        "how_it_is_checked": "evaluate_and_digest_episode stamps human_only and visibility_scope surface_only on every digested noun and verb."
      }
    },
    {
      "slug": "guardrail.synthetic-sweep-is-not-field-deployment",
      "category": "noun.skill_pack",
      "role": "guardrail",
      "title": "Guardrail: never present synthetic 1,000-episode sweeps as live field outcomes or admitted packs",
      "category_reason": "Maintains honest evidence separation between local deterministic matrix sweeps and real partner operations.",
      "value": {
        "rule": "Scenario matrix digests record mode local_verified or worker_llm_extended explicitly and keep digested candidates quarantined until owner admission.",
        "how_it_is_checked": "run_latin_hypercube_sweep_1000 stamps mode and status:quarantined on emitted digests."
      }
    },
    {
      "slug": "spec.four-axis-matrix",
      "category": "noun.benchmark_suite",
      "role": "spec",
      "title": "Specification: 1,000x1,000x1,000x1,000 scenario matrix axes and 4D Latin-hypercube sweep",
      "category_reason": "Defines deterministic axis cardinalities, bijective 10^12 tuple indexing and stratified sweep invariants.",
      "value": {
        "axes": {
          "environments": {
            "count": 1000,
            "id_range": "ENV-0001..ENV-1000",
            "factorization": "25 domains x 10 Gaia2 operational constraints x 4 sensitivity/connectivity regimes"
          },
          "methods": {
            "count": 1000,
            "id_range": "METH-0001..METH-1000",
            "factorization": "5 topologies x 5 privacy boundaries x 40 valid (compute_tier, verification_gate) pairs"
          },
          "personas": {
            "count": 1000,
            "id_range": "PERS-0001..PERS-1000",
            "factorization": "5 skill levels x 5 agent harnesses x 5 communication styles x 8 risk/accessibility profiles"
          },
          "stakeholders": {
            "count": 1000,
            "id_range": "STKH-0001..STKH-1000",
            "factorization": "10 stakeholder positions x 10 institutional mandates x 5 strictness tiers x 2 authority scopes"
          }
        },
        "addressable_tuples": 1000000000000,
        "default_lhs_episodes": 1000,
        "verb_lifecycle": "claim-do-report"
      }
    },
    {
      "slug": "rules.stakeholder-digestion",
      "category": "noun.reflex_procedure",
      "role": "rules",
      "title": "Stakeholder evaluation and Task/Task-Object digestion rules",
      "category_reason": "Zero-call deterministic rules mapping (env, method, persona, stakeholder) tuples to verdicts and candidate pins.",
      "value": {
        "verdicts": [
          "approved_direct",
          "approved_partitioned",
          "blocked"
        ],
        "veto_checks": [
          "cloud_tier_cannot_run_in_offline_airgap",
          "unsplit_cloud_egress_on_high_pii_data",
          "stakeholder_veto_cloud_on_high_pii_airgap",
          "mixed_or_regulated_data_missing_private_public_split",
          "missing_distinct_reviewer_two_step_gate",
          "method_latency_exceeds_operator_or_situational_budget"
        ],
        "model_calls": 0
      }
    },
    {
      "slug": "tool.scenario-matrix",
      "category": "noun.code_node",
      "role": "tool_card",
      "title": "Tool card: 1,000-scenario matrix generator, 10^12 tuple resolver and stakeholder digester",
      "category_reason": "Tested Python standard-library package pinned by path, file count and digest.",
      "value": {
        "name": "Meta ARE scenario matrix",
        "code": {
          "$code": "meta-are-scenario-matrix"
        },
        "runtime": "Python 3.10 or later, standard library only, with optional worker llm_extender callback.",
        "commands": [
          "python -m scenario_matrix sweep --seed 20261031 --out DIGEST.json",
          "python -m scenario_matrix expand --global-index 42000123999",
          "python -m scenario_matrix worked-example --input BUNDLE.json"
        ],
        "does": [
          "Generates 1,000 indexed environments, 1,000 methods, 1,000 operator personas and 1,000 stakeholders deterministically.",
          "Evaluates 1,000-cell 4D Latin-hypercube sweeps covering every index 0001..1000 on all 4 axes and resolves arbitrary tuples in [0, 10^12 - 1] in O(1).",
          "Applies stakeholder privacy, offline, latency and two-step review gates and digests approved episodes into SHA-256-hashed candidate Tasks and Task Objects."
        ],
        "does_not": [
          "Enqueue tasks automatically, widen visibility beyond surface_only or claim synthetic sweeps are field deployments."
        ],
        "code_license": "MIT"
      },
      "relations": [
        [
          "verifies",
          "spec.four-axis-matrix"
        ]
      ]
    },
    {
      "slug": "template.matrix-digest",
      "category": "noun.scene_recipe",
      "role": "template",
      "title": "Template: stakeholder-gated scenario matrix evaluation and digested candidate summary",
      "value": {
        "describes": "deterministic verdicts, block reasons and digested Task and Task-Object slugs across evaluated 4-axis scenario tuples",
        "schema": {
          "type": "object",
          "additionalProperties": false,
          "required": [
            "evaluated_count",
            "verdicts",
            "approved_count",
            "blocked_count",
            "blocked_reasons",
            "digested_verbs",
            "digested_nouns"
          ],
          "properties": {
            "evaluated_count": {
              "type": "integer",
              "minimum": 1
            },
            "verdicts": {
              "type": "array",
              "minItems": 1,
              "items": {
                "type": "string",
                "enum": [
                  "approved_direct",
                  "approved_partitioned",
                  "blocked"
                ]
              }
            },
            "approved_count": {
              "type": "integer",
              "minimum": 0
            },
            "blocked_count": {
              "type": "integer",
              "minimum": 0
            },
            "blocked_reasons": {
              "type": "array",
              "items": {
                "type": "string"
              }
            },
            "digested_verbs": {
              "type": "array",
              "items": {
                "type": "string"
              }
            },
            "digested_nouns": {
              "type": "array",
              "items": {
                "type": "string"
              }
            }
          }
        },
        "example": {
          "evaluated_count": 3,
          "verdicts": [
            "blocked",
            "approved_partitioned",
            "approved_direct"
          ],
          "approved_count": 2,
          "blocked_count": 1,
          "blocked_reasons": [
            "cloud_tier_cannot_run_in_offline_airgap",
            "unsplit_cloud_egress_on_high_pii_data"
          ],
          "digested_verbs": [
            "rural-shelter-intake.map-reduce-split",
            "municipal-budget-audit.verify-cascade"
          ],
          "digested_nouns": [
            "rural-shelter-intake.distinct-reviewer-two-step",
            "municipal-budget-audit.deterministic-schema-and-hash"
          ]
        }
      }
    },
    {
      "slug": "example.matrix-episode-bundle",
      "category": "noun.eval_run",
      "role": "example",
      "synthetic": true,
      "title": "Worked example input: three 4-axis scenario tuples spanning offline PII, mixed shelter intake and public budget audit",
      "category_reason": "Synthetic scenario tuple bundle recomputed by test_scenario_matrix.py.",
      "value": {
        "tuples": [
          {
            "env_id": "ENV-0001",
            "method_id": "METH-0020",
            "persona_id": "PERS-0001",
            "stakeholder_id": "STKH-0208"
          },
          {
            "env_id": "ENV-0002",
            "method_id": "METH-0255",
            "persona_id": "PERS-0245",
            "stakeholder_id": "STKH-0412"
          },
          {
            "env_id": "ENV-0084",
            "method_id": "METH-0407",
            "persona_id": "PERS-0615",
            "stakeholder_id": "STKH-0520"
          }
        ]
      }
    },
    {
      "slug": "example.matrix-digest",
      "category": "noun.eval_run",
      "role": "example",
      "synthetic": true,
      "title": "Worked example output: recomputed stakeholder verdicts, block reasons and digested Nouns and Verbs",
      "category_reason": "Deterministic output conforming to template.matrix-digest.",
      "value": {
        "conforms_to": {
          "$pin": "template.matrix-digest"
        },
        "instance": {
          "evaluated_count": 3,
          "verdicts": [
            "blocked",
            "approved_partitioned",
            "approved_direct"
          ],
          "approved_count": 2,
          "blocked_count": 1,
          "blocked_reasons": [
            "cloud_tier_cannot_run_in_offline_airgap",
            "unsplit_cloud_egress_on_high_pii_data"
          ],
          "digested_verbs": [
            "rural-shelter-intake.map-reduce-split",
            "municipal-budget-audit.verify-cascade"
          ],
          "digested_nouns": [
            "rural-shelter-intake.distinct-reviewer-two-step",
            "municipal-budget-audit.deterministic-schema-and-hash"
          ]
        }
      },
      "relations": [
        [
          "derives_from",
          "example.matrix-episode-bundle"
        ],
        [
          "verifies",
          "template.matrix-digest"
        ]
      ]
    }
  ],
  "verbs": [
    {
      "slug": "generate-four-axis-catalog",
      "kind": "verb.generate_seed",
      "title": "Generate 1,000 environments, 1,000 methods, 1,000 personas and 1,000 stakeholders",
      "claimant": "agent",
      "model_use": "none",
      "summary": "Deterministically generate all four 1,000-item scenario axes (ENV-0001..ENV-1000, METH-0001..METH-1000, PERS-0001..PERS-1000, STKH-0001..STKH-1000) with SHA-256 content digests.",
      "outcome": "Verified 4x1,000 scenario catalog covering 25 domains, 5 topologies, 6 compute tiers, 5 harnesses and 10 stakeholder roles.",
      "ready_outcome": "four_axis_catalog_generated",
      "pinned": [
        "spec.four-axis-matrix",
        "tool.scenario-matrix",
        "guardrail.synthetic-sweep-is-not-field-deployment"
      ],
      "slots": [
        {
          "name": "seed_config",
          "category": "noun.benchmark_suite",
          "description": "Pin of seed and optional slice configuration."
        }
      ],
      "produces": [
        {
          "name": "catalog_digest",
          "template": "template.matrix-digest"
        }
      ],
      "steps": [
        "Run generate_environments_1000, generate_methods_1000, generate_personas_1000 and generate_stakeholders_1000.",
        "Verify all 4,000 SHA-256 digests are unique and every environment names an explicit human_only boundary."
      ],
      "acceptance": [
        {
          "id": "all-four-axes-reach-1000-unique-digests",
          "check": "Each of the four axes produces 1,000 records with 1,000 distinct SHA-256 digests.",
          "method": "deterministic"
        }
      ]
    },
    {
      "slug": "evaluate-stakeholder-episodes",
      "kind": "verb.verify_gate",
      "title": "Evaluate a 1,000-cell 4D Latin-hypercube sweep under multi-position stakeholder gates",
      "claimant": "agent",
      "model_use": "none",
      "summary": "Pair all 1,000 environments, methods, personas and stakeholders via a seeded 4D Latin-hypercube bijection and apply privacy, offline, two-step review and latency gates.",
      "outcome": "Deterministic episode verdicts separating approved_direct, approved_partitioned and blocked trajectories.",
      "ready_outcome": "stakeholder_episodes_evaluated",
      "pinned": [
        "spec.four-axis-matrix",
        "rules.stakeholder-digestion",
        "tool.scenario-matrix",
        "guardrail.block-unsplit-pii-cloud-egress"
      ],
      "slots": [
        {
          "name": "episode_bundle",
          "category": "noun.eval_run",
          "description": "Pin of tuple coordinates or Latin-hypercube seed specification."
        }
      ],
      "produces": [
        {
          "name": "episode_verdicts",
          "template": "template.matrix-digest"
        }
      ],
      "steps": [
        "Run run_latin_hypercube_sweep_1000 or run_worked_example across the requested tuple set.",
        "Verify every offline_airgap or unsplit high_pii_local_only cloud trajectory is blocked."
      ],
      "acceptance": [
        {
          "id": "offline-and-pii-cloud-leaks-blocked",
          "check": "evaluate_and_digest_episode blocks cloud tiers in offline_airgap and unsplit high_pii_local_only regimes.",
          "method": "deterministic"
        }
      ],
      "follows": [
        "meta-are-scenario-matrix.generate-four-axis-catalog"
      ]
    },
    {
      "slug": "digest-reusable-nouns-and-verbs",
      "kind": "verb.distill_reflex",
      "title": "Digest approved scenario trajectories into candidate Tasks and Task Objects",
      "claimant": "agent",
      "model_use": "none",
      "summary": "Aggregate approved and lane-partitioned trajectories across 25 domains into SHA-256-pinned candidate Tasks (verbs) and Task Objects (nouns) with human_only boundaries.",
      "outcome": "Conforming matrix digest listing top reusable Task and Task-Object candidates ready for distinct human or worker review.",
      "ready_outcome": "candidates_digested",
      "review": "distinct_reviewer",
      "pinned": [
        "spec.four-axis-matrix",
        "rules.stakeholder-digestion",
        "tool.scenario-matrix",
        "template.matrix-digest",
        "guardrail.preserve-human-only-care-and-judgment"
      ],
      "slots": [
        {
          "name": "evaluated_sweep",
          "category": "noun.eval_run",
          "description": "Pin of stakeholder-evaluated scenario sweep."
        }
      ],
      "produces": [
        {
          "name": "digested_candidates",
          "template": "template.matrix-digest"
        }
      ],
      "steps": [
        "Aggregate approved_direct and approved_partitioned episodes by Task and Task-Object slug.",
        "Verify every digested candidate carries surface_only visibility, a SHA-256 content hash and an explicit human_only boundary."
      ],
      "acceptance": [
        {
          "id": "digested-candidates-conform-and-preserve-human-boundary",
          "check": "Output validates against template.matrix-digest and preserves human_only boundaries.",
          "method": "deterministic"
        }
      ],
      "follows": [
        "meta-are-scenario-matrix.evaluate-stakeholder-episodes"
      ]
    }
  ]
}