skill-eval-methodology

Standardize skill evaluation artifacts with reproducible pipeline structures.

Updated Apr 16, 2026

Search Tags:#workflow #validation #reproducibility #artifact #benchmarks #viewer #evals

Ready to run

npx skills add https://github.com/bengous/agents-skills --skill skill-eval-methodology

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-eval-methodology
Source: https://github.com/bengous/agents-skills/tree/main/skill-eval-methodology
Command: npx skills add https://github.com/bengous/agents-skills --skill skill-eval-methodology

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Operational discipline for running skill evals. This guide helps prevent data loss, stale artifacts, and wasted iterations by standardizing the evaluation process and ensuring consistent artifact formats and frontmatter.

Core Features & Use Cases

Pre-flight checklists and guardrails to ensure complete and consistent eval artifacts across runs (evals.json, timing.json, grading.json, benchmark.json, etc).
Clear guidance on directory structure, artifact generation, and verification steps to enable reproducible evaluations and auditable results.
Seamless integration with the eval-viewer workflow to compare iterations and track improvements across skill evaluations.

Quick Start

Create an eval iteration directory with evals.json and per-eval folders, then run the validation suite to verify frontmatter and structure.

Frequently Asked Questions about skill-eval-methodology

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

FAQPage Schema

How do I standardize skill evaluation workflows to prevent stale artifacts?▼

To standardize skill evaluation workflows and prevent stale artifacts, use a reproducible eval pipeline that enforces consistent frontmatter and artifact formats like evals.json, timing.json, and grading.json across all runs.

What is a reproducible eval pipeline for benchmark iterations?▼

A reproducible eval pipeline for benchmark iterations is a structured process that organizes artifact creation, validation, and tracking using standardized formats like benchmark.json to ensure auditable and consistent evaluation results.

How do I set up directory structures for reproducible skill evals?▼

Set up directory structures for reproducible skill evals by creating an eval iteration directory with an evals.json file and per-eval folders, then run a validation suite to verify frontmatter and structural completeness.

Can I integrate pre-flight checklists and guardrails into my validation suite?▼

Yes, you can integrate pre-flight checklists and guardrails into your validation suite to ensure complete and consistent eval artifacts are generated, satisfying requirements for verification steps before running iterations.

Does this evaluation methodology work with an eval-viewer workflow?▼

Yes, this evaluation methodology integrates seamlessly with an eval-viewer workflow, enabling you to compare iterations, track improvements, and visualize skill evaluations through a viewer-friendly artifact structure.

Why do I need consistent frontmatter and artifact formats for grading.json?▼

You need consistent frontmatter and artifact formats for grading.json to prevent data loss and wasted iterations, ensuring that verification steps can validate evaluation outputs and maintain operational discipline across runs.