score-agent-response-quality

Installation
SKILL.md

Score Agent Response Quality

Help the user evaluate the quality of a single AI agent response across 6 dimensions. Output is a 0-100 score with specific notes per dimension, top 3 improvement suggestions, and a monetization context callout.

When to use this skill

The user wants to evaluate an existing agent response. Questions like "is my agent's output good?", "how can I improve this response?", "score this reply", "is this response monetization-ready?", or comparing agents for QA/benchmarking purposes.

If they want a revenue projection without scoring an existing response, point them to estimate-agent-revenue. If they're ready to integrate, point them to monetize-agent-responses.

Step 1: Ask for input

  1. Paste a sample response from your agent. (required, free text, can be multi-paragraph)
  2. What question or prompt produced this response? (optional, helps evaluate relevance)
  3. What vertical does your agent operate in? (optional, adjusts the Monetization Readiness scoring context)
    • DeFi/Crypto, Fintech, Travel, Insurance, E-commerce, SaaS, Health, Education, General

If the user pastes a response that contains user PII, suggest they redact before pasting. The skill processes everything locally, but good hygiene is good hygiene.

Installs
1
First Seen
May 6, 2026
score-agent-response-quality — operonhq/agent-skills