weight-elicitation-sop

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/weight-elicitation-sop

Compute normalized weight vector for criteria using specified elicitation method

  • Identifies and selects appropriate weighting method (AHP, Swing, BWM, MACBETH, Simos) based on user input.
  • Deploys the chosen method to compute pairwise comparison matrices or ranking logic for each criterion.
  • Ensures computed weights are normalized and consistent with the selected method's requirements.
  • Delivers the resulting weight vector to the calling agent or system.

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).

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