Confidence Calibration

Calibrates confidence scores based on debate progression. Determines whether to escalate, continue, or terminate based on cumulative evidence.

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Confidence Calibration

Calibrates confidence based on debate progression.

Execution

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

Why Subagent

Calibration requires meta-analysis of debate trajectory without being anchored to any single round's outcome. Isolated context enables objective trend assessment.

Input

  • round_verdicts: All judge verdicts so far
  • confidence_history: Confidence scores from each round
  • budget_remaining: Rounds/searches remaining in budget

Output

  • calibrated_confidence: Updated confidence in artifact viability (0.0–1.0)
  • decision: escalate / continue / terminate
  • reasoning: Why this decision given the trajectory
  • saturation_flag: Whether debate is producing diminishing returns

Budget

One unit = one calibration assessment 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/confidence-calibration commit 5270451a61

Frequently asked questions

npx skillmds@latest add yogsoth-ai/confidence-calibration