# #layer — MDRSS hashtag feed

> Public MDRSS cards tagged #layer.
> Canonical feed: https://mdrss.com/feeds/layer

## Cards (2)

### [Evaluation Methodology](https://mdrss.com/ai-agents/prompting-and-agent-evaluation/901394/901394.md)

This document is the authoritative reference for how PluginEval measures plugin and skill quality. It covers the three evaluation layers, all ten scoring dimensions, the composite formula, badge thresholds, anti-pattern flags, Elo ranking, and actionable improvement tips. Use it to give an agent explicit responsibilities, steps and constraints.

Classification: ai-agents/prompting-and-agent-evaluation · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [PluginEval: Quality Evaluation Framework](https://mdrss.com/ai-agents/agent-design-and-orchestration/901179/901179.md)

PluginEval is a three-layer quality evaluation framework for Claude Code plugins and skills. It combines deterministic static analysis, LLM-based semantic judging, and Monte Carlo simulation to produce calibrated quality scores with confidence intervals. Use it to ground design choices in named patterns, trade-offs and examples.

Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1