skill-judge

Evaluate Agent Skills for knowledge delta and best practices compliance.

1|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/Bigdrops/bigdrops-app --skill skill-judge-bigdrops
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-judge
Source: https://github.com/Bigdrops/bigdrops-app/tree/main/.agents/skills/skill-judge
Command: npx skills add https://github.com/Bigdrops/bigdrops-app --skill skill-judge-bigdrops

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, yaml, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill assesses the quality and effectiveness of other Agent Skills, focusing on knowledge delta and adherence to best practices.

Core Features & Use Cases

  • Knowledge Delta Evaluation: Identifies the unique knowledge added by a Skill, differentiating between expert knowledge, activation, and redundancy.
  • Best Practices Compliance: Checks for adherence to established design patterns, structure, and technical requirements.
  • Use Case: Use Skill Judge to evaluate a newly created Skill for quality and improvements before publishing.

Quick Start

Run the skill-judge on the Skill located at 'path/to/skill/SKILL.md' to get an evaluation report.

Frequently Asked Questions about skill-judge

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I evaluate an Agent Skill for knowledge delta and best practices compliance?

Evaluating an Agent Skill for knowledge delta and best practices involves assessing its unique knowledge contribution, adherence to design patterns, structure, and usability against established specifications. Skill Judge processes your Skill content to generate this quality evaluation report.

What is knowledge delta evaluation in Skill quality assessment?

Knowledge delta evaluation in Skill quality assessment identifies the unique expert knowledge a Skill adds, differentiating between valuable new information, activation triggers, and redundant content already present in existing specifications.

Do I need Python to run skill quality evaluation checks on a SKILL.md file?

Yes, you need Python and associated libraries to process Skill content and run evaluation checks. The Skill uses Python scripts and YAML references to analyze your SKILL.md file and assess quality against established design patterns.

How do I check if my newly created Skill follows established design patterns before publishing?

To check if your newly created Skill follows established design patterns before publishing, run an evaluation tool against your SKILL.md file. It assesses structure, technical requirements, and design principle adherence to identify improvements.

What's the best way to assess Agent Skill quality and identify areas for improvement?

The best way to assess Agent Skill quality is to run an automated evaluation that checks knowledge contribution, structure, and usability. This identifies gaps in best practices compliance and highlights specific improvements needed before publishing.

Can I evaluate Agent Skills for redundancy and technical structure using YAML references?

Yes, you can evaluate Agent Skills for redundancy and technical structure using YAML references. The evaluation checks Skill content against established specifications to detect redundant knowledge and verify structural adherence to design principles.