[Topic] + [Timeframe] + civos

iran war latest civos
ukraine war current civos
china taiwan civos analysis
strait of hormuz civos
singapore education civos
global oil shock civos

CQP.RUNTIME.BOARD.v1
1. Event Core
What is happening at the surface?
2. Active Shell
Which shell is moving?
Human / Tactical / Institutional / Corridor / Planetary / Future
3. State Transition
What did the system change from and into?
4. Pressure Engine
What is driving the movement?
5. Corridor Node
Which chokepoint, institution, route, resource, or trust layer is under stress?
6. Decision Node
Is the system near a point where small triggers can cause large outcomes?
7. Trigger List
What events could break the current shell?
8. Lattice State
+Latt / 0Latt / -Latt
9. Repair Route
What stabilisation path remains available?
10. CivOS Verdict
One clear structural sentence.

FROM → TO

Kinetic Spread → Corridor Compression
Diplomatic Stalemate → Maritime Pressure
Local Incident → Planetary Supply Shock
Political Noise → Institutional Drift
Student Confusion → Transfer Failure

S0 Human Shell
Individual lives, fear, casualties, behaviour
S1 Tactical Shell
Immediate actions, strikes, clashes, arrests, exams, failures
S2 Operational Shell
Logistics, coordination, supply, movement
S3 Institutional Shell
Governments, ministries, courts, schools, alliances
S4 Corridor Shell
Trade routes, sea lanes, energy flows, education pathways, trust channels
S5 Planetary Shell
Global markets, food, energy, climate, migration, system-wide strain
S6 Future Shell
Debt, memory, inheritance, civilisation continuity

DECISION NODE:
A compressed state where:
- time-to-decision decreases
- exit options narrow
- reversal cost rises
- one trigger can cause cascade
- operators dominate over architects

+Latt:
Repair capacity exceeds drift pressure.
System is improving or stabilising.
0Latt:
Repair and drift are roughly balanced.
System is fragile, suspended, or undecided.
-Latt:
Drift pressure exceeds repair capacity.
System is degrading or moving toward collapse.

Lattice State = Repair Capacity - Drift Load

iran war latest civos

State Transition:
Kinetic War → Corridor War
Active Shell:
Corridor / Planetary
Decision Node:
Strait of Hormuz
Lattice:
0Latt leaning -Latt

secondary 1 math transition civos

State Transition:
Primary Score Success → Secondary Transfer Stress
Active Shell:
Student / School / Family
Decision Node:
Algebra and negative-number transition
Lattice:
0Latt unless repaired early

breaking news civos realityos

State Transition:
Raw Event → Accepted Reality Formation
Active Shell:
Information / Trust / Public Interpretation
Decision Node:
First attribution frame
Lattice:
Depends on evidence quality and narrative drift

Run a CivOS Query Protocol read on:
[TOPIC]
Return:
1. Event Core
2. Active Shell
3. State Transition
4. Pressure Engine
5. Corridor Node
6. Decision Node
7. Trigger List
8. Lattice State
9. Repair Route
10. CivOS Verdict
Use dashboard language, not opinion.
Separate confirmed signal from inference.

CQP.v1(topic, timeframe):
Input:
    topic
    timeframe
    source_signals
Process:
    event_core = extract_surface_event(source_signals)
    shell = classify_active_shell(event_core)
    transition = detect_from_to_state(source_signals)
    pressure_engine = identify_driver(source_signals)
    corridor_node = locate_chokepoint_or_transfer_path(source_signals)
    decision_node = test_node_compression(
        time_to_decision,
        exit_options,
        reversal_cost,
        trigger_sensitivity
    )
    lattice_state = repair_capacity - drift_load
    triggers = list_shell_break_events(source_signals)
    repair_route = identify_remaining_stabilisation_path()
Output:
    CQP_RUNTIME_BOARD
    CIVOS_VERDICT

CQP.REGISTRY.v1.0
Title: CivOS Query Protocol Encoding Registry
Status: Active
Layer: CivOS / RealityOS / NewsOS / WarOS / StrategizeOS
Function: Converts ordinary queries into structured civilisational runtime reads.
Primary Output: CQP Runtime Board
Core Rule: Search result ≠ runtime read until it passes shell, corridor, node, lattice, trigger, and repair encoding.

CQP.ROOT.v1
{
  "protocol_id": "CQP",
  "protocol_name": "CivOS Query Protocol",
  "version": "1.0",
  "owner_system": "CivOS",
  "runtime_family": [
    "RealityOS",
    "NewsOS",
    "WarOS",
    "StrategizeOS",
    "PlanetaryOS",
    "EducationOS"
  ],
  "purpose": "Transform ordinary search prompts into structured reality-state analysis.",
  "core_question": "What happened, which shell moved, which corridor is under pressure, which node is approaching, what can break next, and what repair route remains open?",
  "output_mode": "dashboard_runtime_read",
  "public_style": "clear, sober, non-persuasive, reality-report format",
  "engineering_style": "state-machine, shell-classified, lattice-coded, repair-aware"
}

CQP.INPUT.SCHEMA.v1
{
  "query_id": "CQP.QRY.{YYYYMMDD}.{SERIAL}",
  "topic": "required_string",
  "timeframe": "optional_string",
  "domain": "optional_enum",
  "location": "optional_string",
  "source_scope": "optional_enum",
  "analysis_depth": "optional_enum",
  "requested_output": "optional_enum",
  "civos_keyword": "required_for_public_search"
}

CQP.QUERY.REQUIREMENTS.v1
{
  "minimum_required_fields": [
    "topic",
    "civos_keyword"
  ],
  "recommended_fields": [
    "timeframe",
    "domain",
    "location",
    "requested_output"
  ],
  "valid_query_pattern": "[TOPIC] + [TIMEFRAME] + civos",
  "examples": [
    "iran war latest civos",
    "strait of hormuz civos",
    "ukraine war current civos",
    "secondary 1 math transition civos",
    "singapore education policy civos",
    "global oil shock civos"
  ],
  "invalid_query_patterns": [
    "latest news only",
    "who is winning",
    "give opinion",
    "summarise headlines without runtime structure"
  ]
}

CQP.DOMAIN.ENUM.v1
{
  "WAR": "WarOS",
  "NEWS": "NewsOS",
  "REALITY": "RealityOS",
  "EDUCATION": "EducationOS",
  "MATH": "MathOS",
  "LANGUAGE": "LanguageOS",
  "CULTURE": "CultureOS",
  "PLANETARY": "PlanetaryOS",
  "ECONOMY": "EconomyOS",
  "ENERGY": "EnergyOS",
  "CIVILISATION": "CivOS",
  "STRATEGY": "StrategizeOS",
  "FRONTIER": "CFS/ACS/EFSC"
}

CQP.SOURCE.SIGNAL.v1
{
  "signal_id": "SRC.{SERIAL}",
  "source_name": "string",
  "source_type": "enum",
  "timestamp": "datetime_or_text",
  "claim": "string",
  "evidence_strength": "enum",
  "bias_risk": "enum",
  "confirmation_status": "enum",
  "runtime_use": "enum"
}

CQP.SOURCE.TYPE.ENUM.v1
{
  "PRIMARY": "official statement, direct data, original document",
  "WIRE": "Reuters, AP, AFP or equivalent",
  "THINK_TANK": "CSIS, IISS, ISW or equivalent",
  "NEWS": "news organisation",
  "LOCAL_REPORT": "local field reporting",
  "SOCIAL_SIGNAL": "social media or public chatter",
  "AI_SYNTHESIS": "AI overview or aggregated answer",
  "FRAMEWORK_SOURCE": "eduKateSG / CivOS / internal framework article"
}

CQP.EVIDENCE.STRENGTH.v1
{
  "A": "directly confirmed",
  "B": "well-supported by multiple reputable sources",
  "C": "reported but still developing",
  "D": "single-source or weakly confirmed",
  "E": "speculative / inference only"
}

CQP.SHELL.REGISTRY.v1
{
  "S0": {
    "name": "Human Shell",
    "scope": "lives, fear, casualties, behaviour, morale"
  },
  "S1": {
    "name": "Tactical Shell",
    "scope": "immediate actions, strikes, clashes, arrests, exam failures"
  },
  "S2": {
    "name": "Operational Shell",
    "scope": "coordination, logistics, sequencing, supply, movement"
  },
  "S3": {
    "name": "Institutional Shell",
    "scope": "governments, ministries, courts, schools, alliances"
  },
  "S4": {
    "name": "Corridor Shell",
    "scope": "trade routes, sea lanes, energy flows, education pathways, trust channels"
  },
  "S5": {
    "name": "Planetary Shell",
    "scope": "markets, food, energy, climate, migration, system-wide strain"
  },
  "S6": {
    "name": "Future Shell",
    "scope": "debt, memory, inheritance, civilisation continuity"
  }
}

CQP.STATE.TRANSITION.v1
{
  "transition_id": "TRANS.{SERIAL}",
  "from_state": "string",
  "to_state": "string",
  "movement_type": "enum",
  "confidence": "A_to_E",
  "evidence_basis": ["signal_id"]
}

CQP.MOVEMENT.TYPE.ENUM.v1
{
  "EXPANSION": "pressure spreads across more shells",
  "COMPRESSION": "pressure narrows into a chokepoint or node",
  "MIGRATION": "conflict/problem shifts from one shell to another",
  "STABILISATION": "repair capacity begins to exceed drift",
  "DEGRADATION": "drift begins to exceed repair",
  "FREEZE": "system pauses without resolving core pressure",
  "CASCADE": "one trigger spreads across multiple shells",
  "REPAIR": "system opens a viable stabilisation route"
}

CQP.CORRIDOR.NODE.v1
{
  "node_id": "NODE.{SERIAL}",
  "node_name": "string",
  "node_type": "enum",
  "shell_level": "S0_to_S6",
  "pressure_level": "LOW_MEDIUM_HIGH_CRITICAL",
  "strategic_importance": "LOW_MEDIUM_HIGH_CRITICAL",
  "failure_effect": "string"
}

CQP.NODE.TYPE.ENUM.v1
{
  "MARITIME_CHOKEPOINT": "strait, port, sea lane",
  "ENERGY_CORRIDOR": "oil, gas, electricity, fuel supply",
  "FOOD_CORRIDOR": "grain, fertilizer, agricultural supply",
  "INFORMATION_CORRIDOR": "news, media, public reality formation",
  "EDUCATION_CORRIDOR": "learning transition, curriculum transfer, exam pathway",
  "TRUST_CORRIDOR": "institutional legitimacy, public belief, verification",
  "MILITARY_CORRIDOR": "supply line, base, deployment route",
  "ECONOMIC_CORRIDOR": "finance, trade, market flow",
  "CULTURAL_CORRIDOR": "language, identity, memory, heritage transfer"
}

CQP.DECISION.NODE.v1
{
  "decision_node_status": "TRUE_FALSE_PARTIAL",
  "time_to_node": "LONG_MEDIUM_SHORT_IMMEDIATE",
  "exit_aperture": "WIDE_NARROW_CLOSING_CLOSED",
  "reversal_cost": "LOW_MEDIUM_HIGH_EXTREME",
  "trigger_sensitivity": "LOW_MEDIUM_HIGH_CRITICAL",
  "operator_dominance": "LOW_MEDIUM_HIGH",
  "architect_control": "HIGH_MEDIUM_LOW",
  "decision_node_verdict": "string"
}

CQP.DECISION.NODE.TEST.v1
IF time_to_node == SHORT OR IMMEDIATE
AND exit_aperture == NARROW OR CLOSING
AND reversal_cost == HIGH OR EXTREME
AND trigger_sensitivity == HIGH OR CRITICAL
THEN decision_node_status = TRUE

CQP.LATTICE.STATE.v1
{
  "lattice_state": "enum",
  "repair_capacity": "LOW_MEDIUM_HIGH",
  "drift_load": "LOW_MEDIUM_HIGH",
  "stability_score": "integer_-100_to_100",
  "trend": "IMPROVING_STABLE_DEGRADING",
  "lattice_verdict": "string"
}

CQP.LATTICE.ENUM.v1
{
  "+LATT": "repair capacity exceeds drift load",
  "0LATT": "repair and drift are balanced or unresolved",
  "-LATT": "drift load exceeds repair capacity"
}

CQP.LATTICE.FORMULA.v1
StabilityScore = RepairCapacity - DriftLoad
IF StabilityScore > +20:
    lattice_state = "+LATT"
IF StabilityScore >= -20 AND StabilityScore <= +20:
    lattice_state = "0LATT"
IF StabilityScore < -20:
    lattice_state = "-LATT"

CQP.TRIGGER.v1
{
  "trigger_id": "TRG.{SERIAL}",
  "trigger_name": "string",
  "trigger_type": "enum",
  "probability": "LOW_MEDIUM_HIGH",
  "impact": "LOW_MEDIUM_HIGH_CRITICAL",
  "cascade_risk": "LOW_MEDIUM_HIGH_CRITICAL",
  "affected_shells": ["S0", "S1", "S2", "S3", "S4", "S5", "S6"],
  "notes": "string"
}

CQP.TRIGGER.TYPE.ENUM.v1
{
  "KINETIC": "strike, clash, attack, seizure",
  "MARITIME": "vessel incident, blockade breach, chokepoint closure",
  "DIPLOMATIC": "talks collapse, ultimatum, recognition shift",
  "ECONOMIC": "sanction, price shock, market break",
  "INFORMATION": "false attribution, viral narrative, trust collapse",
  "INSTITUTIONAL": "government failure, alliance fracture, court or policy shock",
  "HUMANITARIAN": "mass casualty, displacement, infrastructure collapse",
  "EDUCATIONAL": "transfer failure, curriculum mismatch, exam shock",
  "CIVILISATIONAL": "memory loss, legitimacy collapse, long-term inheritance damage"
}

CQP.REPAIR.ROUTE.v1
{
  "repair_id": "REP.{SERIAL}",
  "repair_type": "enum",
  "target_shell": "S0_to_S6",
  "required_actor": "string",
  "required_action": "string",
  "time_window": "SHORT_MEDIUM_LONG",
  "feasibility": "LOW_MEDIUM_HIGH",
  "repair_effect": "string"
}

CQP.REPAIR.TYPE.ENUM.v1
{
  "DEESCALATION": "reduce immediate conflict pressure",
  "CORRIDOR_REOPENING": "restore route, flow, access, shipping, learning transfer",
  "TRUST_REPAIR": "restore legitimacy, verification, shared reality",
  "BUFFER_BUILDING": "increase time, resources, redundancy, learning support",
  "FIREBREAK": "contain cascade before it crosses shells",
  "REENTRY_PATH": "create a way back from failed route",
  "INSTITUTIONAL_ALIGNMENT": "align actors, rules, procedures, incentives",
  "REALITY_RECALIBRATION": "correct false frame, bad attribution, or distorted accepted reality"
}

CQP.RUNTIME.BOARD.v1
{
  "title": "CivOS Query Protocol Runtime Board",
  "topic": "string",
  "timeframe": "string",
  "domain": "string",
  "1_event_core": {
    "summary": "string",
    "evidence_strength": "A_to_E"
  },
  "2_active_shell": {
    "primary_shell": "S0_to_S6",
    "secondary_shells": ["S0_to_S6"],
    "shell_verdict": "string"
  },
  "3_state_transition": {
    "from": "string",
    "to": "string",
    "movement_type": "enum",
    "transition_verdict": "string"
  },
  "4_pressure_engine": {
    "engine_name": "string",
    "driver": "string",
    "pressure_direction": "string"
  },
  "5_corridor_node": {
    "node_name": "string",
    "node_type": "enum",
    "pressure_level": "LOW_MEDIUM_HIGH_CRITICAL"
  },
  "6_decision_node": {
    "status": "TRUE_FALSE_PARTIAL",
    "time_to_node": "LONG_MEDIUM_SHORT_IMMEDIATE",
    "exit_aperture": "WIDE_NARROW_CLOSING_CLOSED",
    "trigger_sensitivity": "LOW_MEDIUM_HIGH_CRITICAL"
  },
  "7_trigger_list": [
    {
      "trigger": "string",
      "probability": "LOW_MEDIUM_HIGH",
      "impact": "LOW_MEDIUM_HIGH_CRITICAL"
    }
  ],
  "8_lattice_state": {
    "state": "+LATT_0LATT_MINUSLATT",
    "trend": "IMPROVING_STABLE_DEGRADING",
    "stability_score": "integer"
  },
  "9_repair_route": {
    "route": "string",
    "feasibility": "LOW_MEDIUM_HIGH",
    "time_window": "SHORT_MEDIUM_LONG"
  },
  "10_civos_verdict": {
    "one_sentence": "string"
  }
}

CQP.PROMPT.TEMPLATE.v1
Run a CivOS Query Protocol read on:
TOPIC:
[Insert topic]
TIMEFRAME:
[Insert timeframe]
DOMAIN:
[WarOS / NewsOS / RealityOS / EducationOS / PlanetaryOS / CivOS / other]
LOCATION:
[Optional]
Return the answer as a CQP Runtime Board with:
1. Event Core
2. Active Shell
3. State Transition
4. Pressure Engine
5. Corridor Node
6. Decision Node
7. Trigger List
8. Lattice State
9. Repair Route
10. CivOS Verdict
Requirements:
- Separate confirmed signal from inference.
- Use dashboard language, not opinion.
- Identify shell movement.
- Identify corridor pressure.
- Identify whether the system is near a decision node.
- Classify lattice state as +Latt, 0Latt, or -Latt.
- Give one clear repair route.
- End with one structural verdict sentence.

CQP.PUBLIC.SEARCH.TEMPLATES.v1
{
  "basic": "[topic] civos",
  "latest": "[topic] latest civos",
  "war": "[conflict] latest civos waros",
  "news": "[event] civos newsos",
  "reality": "[event] civos realityos",
  "education": "[education problem] civos educationos",
  "strategy": "[scenario] civos strategizeos",
  "planetary": "[resource or global crisis] civos planetaryos",
  "frontier": "[space/resource/future civilisation topic] civos cfs acs"
}

class CivOSQueryProtocol:
    def __init__(self, topic, timeframe=None, domain=None, location=None):
        self.topic = topic
        self.timeframe = timeframe
        self.domain = domain
        self.location = location
        self.signals = []
        self.runtime_board = {}
    def ingest_signals(self, source_signals):
        self.signals = source_signals
        return self.signals
    def extract_event_core(self):
        return {
            "summary": "Extract the most stable surface event from source signals.",
            "evidence_strength": "A/B/C/D/E"
        }
    def classify_shells(self):
        return {
            "primary_shell": "S0-S6",
            "secondary_shells": [],
            "shell_verdict": "Which shell is moving most strongly."
        }
    def detect_state_transition(self):
        return {
            "from": "previous_state",
            "to": "current_state",
            "movement_type": "COMPRESSION / EXPANSION / MIGRATION / FREEZE / CASCADE / REPAIR",
            "transition_verdict": "State movement summary."
        }
    def identify_pressure_engine(self):
        return {
            "engine_name": "Corridor Control / Narrative Legitimacy / Time Debt / Repair Engine",
            "driver": "Main pressure source.",
            "pressure_direction": "Where the pressure is moving."
        }
    def locate_corridor_node(self):
        return {
            "node_name": "Critical chokepoint or transfer path.",
            "node_type": "MARITIME_CHOKEPOINT / TRUST_CORRIDOR / EDUCATION_CORRIDOR / etc.",
            "pressure_level": "LOW / MEDIUM / HIGH / CRITICAL"
        }
    def test_decision_node(self):
        return {
            "status": "TRUE / FALSE / PARTIAL",
            "time_to_node": "LONG / MEDIUM / SHORT / IMMEDIATE",
            "exit_aperture": "WIDE / NARROW / CLOSING / CLOSED",
            "trigger_sensitivity": "LOW / MEDIUM / HIGH / CRITICAL"
        }
    def list_triggers(self):
        return [
            {
                "trigger": "Possible shell-breaking event.",
                "probability": "LOW / MEDIUM / HIGH",
                "impact": "LOW / MEDIUM / HIGH / CRITICAL"
            }
        ]
    def classify_lattice_state(self, repair_capacity, drift_load):
        stability_score = repair_capacity - drift_load
        if stability_score > 20:
            lattice_state = "+LATT"
        elif stability_score < -20:
            lattice_state = "-LATT"
        else:
            lattice_state = "0LATT"
        return {
            "state": lattice_state,
            "trend": "IMPROVING / STABLE / DEGRADING",
            "stability_score": stability_score
        }
    def identify_repair_route(self):
        return {
            "route": "Most viable stabilisation path.",
            "feasibility": "LOW / MEDIUM / HIGH",
            "time_window": "SHORT / MEDIUM / LONG"
        }
    def generate_verdict(self):
        return {
            "one_sentence": "The structural CivOS verdict."
        }
    def run(self):
        self.runtime_board = {
            "event_core": self.extract_event_core(),
            "active_shell": self.classify_shells(),
            "state_transition": self.detect_state_transition(),
            "pressure_engine": self.identify_pressure_engine(),
            "corridor_node": self.locate_corridor_node(),
            "decision_node": self.test_decision_node(),
            "trigger_list": self.list_triggers(),
            "repair_route": self.identify_repair_route(),
            "civos_verdict": self.generate_verdict()
        }
        return self.runtime_board

{
  "cqp_runtime_board": {
    "topic": "Iran War",
    "timeframe": "late April 2026",
    "domain": "WarOS / NewsOS / PlanetaryOS",
    "event_core": {
      "summary": "The conflict is active but constrained by a fragile ceasefire.",
      "evidence_strength": "B"
    },
    "active_shell": {
      "primary_shell": "S4 Corridor Shell",
      "secondary_shells": ["S3 Institutional Shell", "S5 Planetary Shell"],
      "shell_verdict": "The war has migrated from wide kinetic exchange into maritime corridor pressure."
    },
    "state_transition": {
      "from": "Kinetic Spread",
      "to": "Corridor Compression",
      "movement_type": "COMPRESSION",
      "transition_verdict": "The war changed shape rather than ended."
    },
    "pressure_engine": {
      "engine_name": "Corridor Control Engine",
      "driver": "Pressure around the Strait of Hormuz and energy shipping routes.",
      "pressure_direction": "From regional military conflict into global maritime and energy stress."
    },
    "corridor_node": {
      "node_name": "Strait of Hormuz",
      "node_type": "MARITIME_CHOKEPOINT",
      "pressure_level": "HIGH"
    },
    "decision_node": {
      "status": "TRUE",
      "time_to_node": "SHORT",
      "exit_aperture": "NARROW",
      "trigger_sensitivity": "HIGH"
    },
    "trigger_list": [
      {
        "trigger": "Commercial vessel strike or seizure",
        "probability": "MEDIUM",
        "impact": "CRITICAL"
      },
      {
        "trigger": "Blockade enforcement clash",
        "probability": "MEDIUM",
        "impact": "HIGH"
      },
      {
        "trigger": "Proxy escalation across Lebanon or Israel front",
        "probability": "MEDIUM",
        "impact": "HIGH"
      }
    ],
    "lattice_state": {
      "state": "0LATT leaning -LATT",
      "trend": "DEGRADING",
      "stability_score": -15
    },
    "repair_route": {
      "route": "Maintain maritime deconfliction channels, widen diplomatic exit aperture, and prevent single-incident cascade.",
      "feasibility": "MEDIUM",
      "time_window": "SHORT"
    },
    "civos_verdict": {
      "one_sentence": "The war has not ended; it has compressed into a fragile corridor-control conflict where one maritime trigger could rupture the ceasefire shell."
    }
  }
}

CQP.LOCK.v1
CivOS Query Protocol is now defined as the structured query layer for turning ordinary search prompts into civilisational runtime boards.
Every valid CQP read must include:
1. Event Core
2. Active Shell
3. State Transition
4. Pressure Engine
5. Corridor Node
6. Decision Node
7. Trigger List
8. Lattice State
9. Repair Route
10. CivOS Verdict
No CQP output is complete unless it separates:
- confirmed signal
- structural inference
- trigger risk
- repair route
Canonical query pattern:
[TOPIC] + [TIMEFRAME] + civos
Canonical runtime pattern:
Search → Signal → Shell → Transition → Node → Lattice → Trigger → Repair → Verdict

CQP.DEF.v1
The CivOS Query Protocol is the query-language layer that converts search into structured reality reading by encoding every event through shell, corridor, node, lattice, trigger, and repair logic.