difficulty-classifier

Community

AI-driven exam difficulty labeling.

Authoru9401066
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Difficulty classification for exam questions using Ragas-inspired standards to determine whether a question is easy, medium, or hard.

Core Features & Use Cases

  • Question analysis: Evaluates hop_count, specificity, cognitive level, and distractor quality.
  • Automated labeling: Outputs a clear difficulty category and supports adjustment suggestions.
  • Use Case: Educational platforms can auto-tag questions for adaptive testing, review, and curriculum alignment.

Quick Start

Provide a question (or question_id) and receive its difficulty label instantly.

Dependency Matrix

Required Modules

None required

Components

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: difficulty-classifier
Download link: https://github.com/u9401066/anesthesia-exam/archive/main.zip#difficulty-classifier

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