What is Evaluation-Driven Development (EDD) in this context?

EDD involves identifying specific gaps, building test scenarios, and measuring performance baselines before and after skill implementation to ensure real problems are solved.

How does this skill improve token efficiency?

It includes specific checks for redundant explanations and provides a token analysis workflow to ensure every part of the skill justifies its cost.

What is the primary purpose of the Evaluating Skills plugin?

It provides a systematic framework to ensure Claude Code skills are concise, well-structured, and follow established best practices for agentic behavior.

Does it work with all Claude models?

Yes, the framework includes specific compatibility checks for Claude 3.5 Sonnet, Haiku, and Opus to ensure the skill performs reliably across different model capabilities.

AI Skill Evaluation Framework

Name: AI Skill Evaluation Framework
Author: AI-Builder-Team

byAI-Builder-Team

•

安全与测试

Systematically evaluates and optimizes Claude Code skills using a comprehensive quality, efficiency, and performance framework.

The Evaluating Skills plugin provides a rigorous 12-step methodology for auditing and refining Agent Skills within the Claude Code ecosystem. It guides developers through metadata validation, instruction clarity checks, and anti-pattern detection to ensure that skills are both effective and token-efficient. By following an evaluation-driven development (EDD) approach, this skill helps users identify gaps in existing skills, measure performance baselines, and implement progressive disclosure patterns to maintain high-quality interactions across different Claude models.

主要功能

01Structured reporting with performance scores and optimization recommendations

022 GitHub stars

03Anti-pattern detection for identifying vague or redundant instructions

04Model compatibility testing across Haiku, Sonnet, and Opus

05Comprehensive 12-step evaluation workflow for skill validation

06Token efficiency analysis to minimize context window usage

使用场景

01Validating newly created skills before deployment to production environments

02Iterating on skill design based on observed failure modes and usage patterns

03Auditing existing skills to improve success rates and reduce token costs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ai-builder-team/ai-builder-plugin-marketplace evaluating-skills

For use in Claude.ai and ChatGPT

Download Skill