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Logical inference, causal trace, plan steps (222_PROCESS). Executes logical inference and causal analysis. The cognitive engine of AGI tier. Use when breaking down complex problems into logical steps.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Match emotional frequency, detect power dynamics (444_CONSULT). Detects emotional state and power imbalance. The empathy detection stage of arifOS metabolic loop. Use when emotional calibration matters.
Establish position, intake context, ground reality (000_INTAKE). The intake stage of arifOS metabolic loop. Reduces sensory entropy by fixing a reference frame. Use at the beginning of any interaction to establish grounding.
Check F1-F9 floors, compute governance score (777_VERIFY). Checks constitutional floors. The enforcement layer of APEX tier. Use to verify any action against arifOS constitution.
Reduce entropy, refine output, cool structure (888_HOLD). Reduces entropy and refines output. The cooling process. Use when refining drafts or reducing complexity.
Combine knowledge, cross-domain synthesis (333_DELIBERATE). Combines knowledge across domains and forges creative connections. Use when connecting disparate domains or synthesizing insights.
Generate compassionate, harm-aware output (666_AUDIT). Generates compassionate output. Transforms correct answers into healing conversations. Use when crafting final responses to users.
| name | arifos-reason |
| description | Logical inference, causal trace, plan steps (222_PROCESS). Executes logical inference and causal analysis. The cognitive engine of AGI tier. Use when breaking down complex problems into logical steps. |
| metadata | {"arifos":{"stage":"222_PROCESS","trinity":"AGI","floors":["F2","F4","F7"],"version":"1.0.0","atomic":true,"model_agnostic":true,"modular":true,"godel_lock":true}} |
Logical inference, causal trace, plan steps (222_PROCESS)
REASON executes logical inference and causal analysis. The cognitive engine of AGI tier.
Pearl's Do-Calculus — P(Y|do(X)) causal intervention Landauer's Principle — kT ln(2) per bit
Propositional Logic: (P → Q) ∧ P ⊢ Q
def reason(causal_graph, query):
intervention = identify_intervention(causal_graph, query)
plan = topological_sort(causal_graph, intervention)
return Plan(steps=plan)
/action reason problem="complex issue"
1.0.0