evaluation-driven-quality

Evaluate generated artifacts against a scoring rubric through phased validation.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/msageha/maestro_v2 --skill evaluation-driven-quality
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: evaluation-driven-quality
Source: https://github.com/msageha/maestro_v2/tree/main/templates/skills/worker/evaluation-driven-quality
Command: npx skills add https://github.com/msageha/maestro_v2 --skill evaluation-driven-quality

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of ensuring consistent and high-quality output by establishing a structured, iterative improvement cycle based on defined evaluation criteria.

Core Features & Use Cases

  • Systematic Evaluation: Implements a scoring rubric across key axes like accuracy, completeness, and consistency.
  • Phased Validation: Guides the output through distinct stages of verification (requirement matching, structural, functional, and consistency checks).
  • Controlled Iteration: Manages refinement loops, limiting retries and defining actions for persistent quality gaps.
  • Use Case: When generating code, this Skill ensures it meets specific acceptance criteria, passes build and test stages, and aligns with existing coding patterns before being finalized.

Quick Start

Guide the output through the evaluation-driven quality improvement cycle.

Frequently Asked Questions about evaluation-driven-quality

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

FAQPage Schema
How do I validate generated code against quality standards?

To validate generated code against quality standards, you can implement an iterative quality improvement cycle using a scoring rubric. This framework guides output through requirement matching, structural, functional, and consistency checks to ensure adherence to criteria.

What is an iterative quality improvement cycle for development workflows?

An iterative quality improvement cycle is a framework that systematically refines generated artifacts through phased validation. It applies a scoring rubric across accuracy, completeness, and consistency to ensure functional correctness before finalizing output.

How do I systematically evaluate code accuracy and consistency?

You systematically evaluate code accuracy and consistency by applying a structured scoring rubric across key quality axes. This process scores the output against defined criteria to identify gaps and drive targeted refinement.

How do I manage refinement loops when generated code fails verification?

You manage refinement loops for failed verification through controlled iteration. This process limits retries for persistent quality gaps and defines specific actions to resolve functional correctness or consistency issues.

Can I use a scoring rubric for multi-stage validation of generated artifacts?

Yes, you can use a scoring rubric for multi-stage validation of generated artifacts. It guides output through distinct verification phases, including requirement matching and functional checks, to ensure consistent quality.