weight-elicitation-sop
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/weight-elicitation-sopCompute criteria weight vector using a specified weighting method (AHP, Swing, BWM, MACBETH, or Simos).
SKILL.md
.github/skills/weight-elicitation-sopView on GitHub ↗
--- 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) used-by: multi-criteria-scoring --- # 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).