confidence-honesty

What problem does it solve?

This Skill enforces explicit confidence reporting before making conclusions by requiring a quantified confidence percentage, a justification, and a gap analysis as new evidence emerges, reducing overconfident or unvalidated claims.

Core Features & Use Cases

• Express confidence as a percentage: Every conclusion includes a numeric confidence level with calibrated interpretation.
• Evidence and gaps: Automatically attach supporting evidence and clearly state what remains uncertain.
• Self-validation prompts: Mandate "Why not 100%?" reasoning and propose next steps to gather missing data.
• Use cases: Ideal for research reports, investigations, and decision-support where stakeholder trust matters.

Quick Start

Run the Confidence Honesty protocol before presenting any conclusions. Example: "Apply Confidence Honesty: state 72% confidence, list supporting evidence, explain gaps, and justify why not 100%."