consensus-classification

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/consensus-classification

Classifies items as consensus or dissensus based on a threshold

  • Identifies and categorizes input items into consensus or dissensus groups.
  • Depends on judgment data to determine classification of each item.
  • Uses a specified threshold to decide whether an item reaches consensus.
  • Outputs two lists: consensus_items[] and dissensus_items[].

SKILL.md

.github/skills/consensus-classificationView on GitHub ↗
---
name: consensus-classification
description: Classify items as consensus or dissensus at a given threshold.
execution: subagent
prompt: ./prompt.md
input: judgments[], threshold
used-by: structured-consensus
---

# Consensus Classification

Classify each item (question, indication, or topic) as having reached consensus or remaining in dissensus at the specified threshold. Produces two clean lists with supporting evidence.

## Execution

Spawn a subagent that takes judgments and a threshold value, then classifies each item and provides the evidence for classification.

## Why Subagent

- Classification is a bounded analytical task
- Output structure is standardized
- Feeds directly into synthesis and reporting

## HARD-GATE

Output MUST contain: `consensus_items[]` and `dissensus_items[]` arrays. Every item in the input must appear in exactly one list. Each item must include its score and classification rationale.

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