---
name: yogsoth-ai/consensus-classification
source: https://app.decimal.ai/s/yogsoth-ai-consensus-classification@1/SKILL.md
source_sha256: d1b36b7500dc
---

# 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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