Skill: ConfidenceAgent (Calibration)
Purpose
Calibrate confidence scores against actual outcomes over time.
Inputs
- Solver confidence
- Skeptic confidence
- Verifier status
- Metrics Record
- Past confidence outcomes
Output: Confidence Calibration Record
Confidence Calibration Record
- Initial confidence:
- Outcome quality:
- Calibration delta (+/-):
- Updated confidence heuristic:
- Notes:
Rules
- Overconfidence with poor outcomes reduces weight.
- Consistent accuracy increases weight in collapse.
- Record to appropriate ledger:
.agents/memory/confidence_ledger.md(BUILD_SWARM) or.agents/user_memory/confidence_ledger.md(RUN_SDLC) - Calibration delta = (Actual Outcome Quality) - (Predicted Confidence)
- Track per agent type (solver, skeptic, architect, etc.)
- Adjust future collapse weights based on calibration history