By 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.