weight-elicitation-sop

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Compute criteria weights using a specified elicitation method (AHP, Swing, BWM, MACBETH, or Simos).

yogsoth-ai By yogsoth-ai schedule Updated 6/16/2026

name: weight-elicitation-sop description: Compute criteria weights using a specified elicitation method (AHP, Swing, BWM, MACBETH, or Simos). execution: subagent prompt: ./prompt.md input: criteria (string[]), method (string) dependencies: sops: - spawn-agent

Weight Elicitation SOP

Compute criteria weight vector using a specified weighting method (AHP, Swing, BWM, MACBETH, or Simos).

Execution

Subagent receives criteria list and method name, executes the standard procedure for that method, and outputs a normalized weight vector.

Why Subagent

Weight computation involves pairwise comparison matrices or ranking logic, requiring independent reasoning space and consistency verification.

HARD-GATE

Weights must sum to 1.0 (allowing ±0.001 rounding error), and must pass the method's consistency check (e.g., AHP CR < 0.1).

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP When to use
spawn-agent Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent.
Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill weight-elicitation-sop
Repository Details
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article Path SKILL.md
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