القائمة
Reduce entropy, refine output, cool structure (888_HOLD). Reduces entropy and refines output. The cooling process. Use when refining drafts or reducing complexity.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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.
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.
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-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. |
| metadata | {"arifos":{"stage":"888_HOLD","trinity":"AGI","floors":["F4","F7","F8"],"version":"1.0.0","atomic":true,"model_agnostic":true,"modular":true,"godel_lock":true}} |
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