graph-confidence-testing

Community

Verify graph edge confidence component calculations and overall scoring.

Authorruskibeats
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill unit tests the accuracy of confidence component calculations, threshold language mapping, and combined scoring for graph edges.

Core Features & Use Cases

  • Test Confidence Components: Validates individual calculations of confidence components on graph edges.
  • Test Threshold Language: Ensures that confidence thresholds map correctly to user-friendly language (e.g., low, medium, high).
  • Test Overall Confidence Calculation: Checks that the combined score of graph edges meets expected formula calculations.
  • Use Case: Utilize this Skill in software development for verifying the robustness of graph confidence calculations before deploying a system update.

Quick Start

Execute the graph-confidence-testing Skill unit to initiate confidence calculations and validation checks for your graph data.

Dependency Matrix

Required Modules

pytestjsonmath

Components

scripts

💻 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: graph-confidence-testing
Download link: https://github.com/ruskibeats/t1d/archive/main.zip#graph-confidence-testing

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