confidence-levels

What problem does it solve?

Confidence assessments are often vague and uncalibrated. This Skill forces honesty by expressing conclusions as a percentage and by surfacing gaps and assumptions before presenting them.

Core Features & Use Cases

• Percentage-based confidence: Express conclusions as explicit percentages rather than vague terms.
• Gap analysis: Mandatory explanation of why confidence is not 100% and what would increase it.
• Evidence-driven calibration: Base scores on available data, logs, or reasoning evidence, with explicit falsifiability checks.
• Use Case: A researcher evaluates a hypothesis and receives a calibrated confidence score with supporting evidence and next steps.

Quick Start

Ask me to assess the confidence of a claim: I will return a percentage with justification and the key supporting evidence.