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)
dependencies	{"sops":["spawn-agent"]}

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.

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.