yogsoth-ai Pair Selector
Selects the next set of comparison pairs that would most reduce ranking uncertainty. Uses information-theoretic criteria (maximum entropy reduction, uncertainty sampling, or boundary proximity) to prioritize which pairs to compare next.
Execution
Runs as a subagent. Receives current ratings and comparison history, returns an ordered list of recommended next pairs.
Why Subagent
Pair selection requires reasoning about the full rating landscape and comparison graph structure. Isolating this as a subagent allows focused computation without polluting the orchestrator's context with matrix calculations.
HARD-GATE
Output MUST contain at least one pair. Each pair must reference exactly two distinct candidates that exist in the current_ratings input.
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. |