# Consensus Classification

> Classify items as consensus or dissensus at a given threshold.

- Skill: `yogsoth-ai/consensus-classification` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/consensus-classification`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/consensus-classification/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/consensus-classification

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# 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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## 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. |

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