MCPxel – Automated rating and discovery of Agent Skills

Summary: MCPxel uses an LLM-based system to evaluate and rate Agent Skills on five dimensions, providing semantic search and instant access to configurations. It streamlines finding reliable skills without manual trial and error.

What it does

MCPxel automatically scores Agent Skills using an LLM judge on Clarity, Utility, Output Quality, Maintainability, and Novelty, assigning grades from S to D. It offers role-based semantic search and lets users preview documentation and copy configurations instantly.

Who it's for

It is designed for developers, content creators, designers, and others seeking to automate tasks with Claude while avoiding lengthy setup and unreliable skill discovery.

Why it matters

MCPxel reduces the time and effort spent searching, evaluating, and installing Agent Skills by providing trusted ratings and streamlined access to configurations.