Divergence Detection

---
name: divergence-detection
description: Identifies agreement and disagreement patterns across multiple perspective evaluations. Maps consensus clusters and persistent divergence points.
execution: subagent
prompt: ./prompt.md
input: perspective_outputs (string), round_number (string)
used-by: [multiagent-debate]
---

# Divergence Detection

Identifies agreement/disagreement across perspectives.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent.

## Why Subagent

Divergence analysis requires comparing all perspective outputs simultaneously in dedicated context without being anchored to any single perspective.

## Input

- **perspective_outputs**: All perspective-critic outputs from current round
- **round_number**: Current deliberation round (for tracking convergence trend)

## Output

- **consensus_points**: Issues where >70% of perspectives agree
- **divergence_points**: Issues where >50% of perspectives disagree
- **convergence_trend**: Whether disagreements are shrinking, stable, or growing
- **irreconcilable**: Points unlikely to resolve through further deliberation

## Budget

One unit = one divergence analysis per round.