benchmark-skill

Design and execute controlled benchmarks comparing skill outcomes across model tiers.

Updated Jun 26, 2026

Search Tags:#benchmarking #agent behavior #model comparison #skill improvement #skill assessment

Ready to run

npx skills add https://github.com/Svendsys/agent-skills --skill benchmark-skill

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: benchmark-skill
Source: https://github.com/Svendsys/agent-skills/tree/main/skill-analysis/vision-align/harness/fixtures/meta/skills/benchmark-skill
Command: npx skills add https://github.com/Svendsys/agent-skills --skill benchmark-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps to determine whether a skill is effective and its impact on agent behavior across various models.

Core Features & Use Cases

Benchmarking: Design and run controlled benchmarks to evaluate a skill's performance.
Data-Driven Analysis: Provides a self-contained study with per-agent data to ground the results in reality.
Skill Improvement Loop: Facilitates re-running benchmarks to compare against previous iterations for continuous improvement.

Quick Start

Run the benchmark-skill on a target skill by executing the command 'benchmark-skill <skill-name>'.

Frequently Asked Questions about benchmark-skill

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

FAQPage Schema

What is skill benchmarking and how does it measure agent behavior?▼

Skill benchmarking evaluates a skill's effectiveness by comparing agent outcomes across skill arms and model tiers. It measures behavioral impact through a controlled, reproducible harness to ground performance data in reality.

How do I benchmark a skill across different model tiers?▼

To benchmark a skill across model tiers, execute the benchmark command on a target skill. This designs a controlled study comparing outcomes across small, mid, and large models within a structured harness.

Can I compare skill effectiveness between no skill, discovered, and told conditions?▼

Yes, you can compare skill effectiveness across no skill, skill discovered, and skill told arms. The benchmark measures these distinct conditions against different model strengths to evaluate overall agent impact.

Do I need a structured harness for reproducible skill assessment runs?▼

Yes, a structured harness is required for reproducible skill assessment runs. The benchmarking process depends on this controlled environment to accurately measure and compare agent behavior across varying conditions.

What is the best way to evaluate model comparison for skill improvement?▼

The best way to evaluate model comparison for skill improvement is re-running controlled benchmarks. This facilitates comparing current results against previous iterations to drive continuous, data-driven skill enhancement.

Why does benchmarking a skill require separating model strengths?▼

Benchmarking a skill requires separating model strengths to isolate the skill's true impact. Comparing small, mid, and large models reveals how effectively the skill performs across different levels of agent capability.