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