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Reduce entropy, refine output, cool structure (888_HOLD). Reduces entropy and refines output. The cooling process. Use when refining drafts or reducing complexity. Canonical implementation: AAA-forge in arifOS/333_APPS/L2_ACTIONS/atomic
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.
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.
| name | AAA-forge |
| description | Reduce entropy, refine output, cool structure (888_HOLD). Reduces entropy and refines output. The cooling process. Use when refining drafts or reducing complexity. Canonical implementation: AAA-forge in arifOS/333_APPS/L2_ACTIONS/atomic |
Reduce entropy, refine output, cool structure (888_HOLD)
FORGE reduces entropy and refines output. The cooling process.
Simulated Annealing — T → 0 for global minimum Renormalization Group — coarse-graining fluctuations
Boltzmann: P(x) = e^(-E(x)/kT)/Z Cooling Schedule: T(t) = T₀/ln(t+1)
def forge(draft_output, temperature_schedule):
T = temperature_schedule.initial
current_state = draft_output
while T > T_final:
neighbor = perturb(current_state, T)
delta_E = energy(neighbor) - energy(current_state)
if delta_E < 0 or random() < exp(-delta_E / T):
current_state = neighbor
T = T * cooling_rate
return RefinedOutput(
content=current_state,
entropy=compute_entropy(current_state),
iterations=schedule.iterations
)
/action forge draft="raw output"
1.0.0