evaluation

Make AI output quality measurable: output rubrics with pass/fail per dimension, plus guardrail design — what the agent must never do and how it refuses.

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Last updated: June 22, 2026

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npx skills add https://github.com/Owl-Listener/ai-design-skills --skill evaluation

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design

evaluation

rubrics

guardrails

method:skills-cli

What it gives. A concrete definition of "good" — rubrics scoring accuracy, relevance and helpfulness with pass/fail per dimension — that turns "looks fine" into a measurable bar and powers regression testing. Plus explicit behavioral boundaries and refusal patterns as enforceable lines, not vibes.

How to fire it.

Write a rubric for "good" output and define what this agent must never do, with refusal patterns.

Payoff. Quality you can grade against.

One of the six skills in

Owl-Listener/ai-design-skills

. Covers: output quality rubrics, guardrail design.

evaluation

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