# Confidence Calibration

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

- Skill: `yogsoth-ai/confidence-calibration` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/confidence-calibration`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/confidence-calibration/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/confidence-calibration

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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.

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## 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. |

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