菜单
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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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.
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.
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-anchor |
| description | 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. |
| metadata | {"arifos":{"stage":"000_INTAKE","trinity":"AGI","floors":["F4","F7","F8"],"version":"1.0.0","atomic":true,"model_agnostic":true,"modular":true,"godel_lock":true}} |
Establish position, intake context, ground reality (000_INTAKE)
ANCHOR is the intake stage of the arifOS metabolic loop. It reduces sensory entropy by fixing a reference frame.
Signal Detection Theory — d-prime metric for signal/noise discrimination
Information Theory: I(x) = -log₂P(x)
def anchor(input_space, noise_floor):
signal = extract_signal(input_space, noise_floor)
return GroundedContext(position=signal.position)
/action anchor input="user query"
1.0.0