Divergence Detection

Identifies agreement and disagreement patterns across multiple perspective evaluations. Maps consensus clusters and persistent divergence points.

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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.

yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/divergence-detection commit 56b5db87f7

Frequently asked questions

npx skillmds@latest add yogsoth-ai/divergence-detection