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ConfidenceAgent

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Calibrate agent confidence

Software Engineering#decision making#metrics#calibration#confidence#agent performance
Authorfarmountain
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the challenge of ensuring AI agents maintain accurate confidence levels by comparing their predictions against actual outcomes, leading to more reliable decision-making.

Core Features & Use Cases

  • Confidence Calibration: Adjusts an agent's future confidence scores based on historical performance.
  • Outcome Tracking: Records the relationship between predicted confidence and the quality of the actual outcome.
  • Use Case: When a 'Solver' agent predicts a high confidence in a solution that turns out to be flawed, this Skill will reduce its future confidence weighting, preventing repeated errors.

Quick Start

Use the ConfidenceAgent skill to calibrate the confidence of the solver agent based on the verifier status and metrics record.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ConfidenceAgent
Download link: https://github.com/farmountain/sdlc_agent_swarm/archive/main.zip#confidenceagent

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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