Confidence scoring overlay for multi-brain decisions. Each perspective rates its own confidence (1-10) with justification. Consensus uses scores as weights, flags low-confidence areas, and surfaces uncertainty explicitly.
Quickly install multi-brain-score AI skill to your development environment via command line
Source: fatih-developer/fth-skills.
Add quantified confidence scoring to any multi-brain decision. Each perspective rates its own confidence, and the consensus uses scores as decision weights. Uncertainty becomes visible instead of hidden.
If any perspective scores below 5, or if the spread between scores is > 4:
Mandatory: The final response must include all scored perspectives, the confidence analysis table, the weighted consensus, any uncertainty flags, and the complete deliverable.
Confidence scoring overlay for multi-brain decisions. Each perspective rates its own confidence (1-10) with justification. Consensus uses scores as weights, flags low-confidence areas, and surfaces uncertainty explicitly. Source: fatih-developer/fth-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/fatih-developer/fth-skills --skill multi-brain-scoreConfidence scoring overlay for multi-brain decisions. Each perspective rates its own confidence (1-10) with justification. Consensus uses scores as weights, flags low-confidence areas, and surfaces uncertainty explicitly. Source: fatih-developer/fth-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/fatih-developer/fth-skills --skill multi-brain-score Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/fatih-developer/fth-skills