noise-audit
CommunityQuantify decision noise with independent juries.
AuthorFolahanWilliams
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill quantifies decision quality by aggregating independent judgments to reveal variance in assessment, helping teams identify when judgments diverge and risk biased conclusions.
Core Features & Use Cases
- Independent Jury Method: spawns three separate noise_judge tasks to produce diverse evaluations.
- Variance Metrics: computes mean, standard deviation, and range to produce a Noise Variance table for quick interpretation.
- Risk Awareness: highlights high-noise scenarios to prompt deeper review or additional judgments in decision-making processes.
Quick Start
Spawn three independent noise_judge tasks to evaluate the provided material and compute the variance-based Noise Variance table
Dependency Matrix
Required Modules
None requiredComponents
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: noise-audit Download link: https://github.com/FolahanWilliams/decision-intel/archive/main.zip#noise-audit Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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