evaluation

evaluation is a plugin for Claude Code from Owl-Listener/ai-design-skills. Its manifest loads nothing; the 7 skills, 3 commands it bundles cost 184 tokens per session together, scanned A, original, MIT.

A tool for measuring the quality and results of AI-generated work and user experiences.

In plain words
What is it for?
It is for evaluating AI responses, whether users succeed at tasks, how satisfied they are, and how well a design works.
Why use it?
It helps replace guesswork with checks of output quality, user satisfaction, task completion, and design results.

Plugin for Claude Code

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Claude Code
/plugin marketplace add Owl-Listener/ai-design-skills
agentmods
npx agentmods add plugins/owl-listener/ai-design-skills/evaluation
Clone the repo
git clone --depth 1 https://github.com/Owl-Listener/ai-design-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for evaluation

README.md
[![agentmods](https://agentmods.dev/badge/plugins/owl-listener/ai-design-skills/evaluation.svg)](https://agentmods.dev/plugins/owl-listener/ai-design-skills/evaluation)
Your own site
<a href="https://agentmods.dev/plugins/owl-listener/ai-design-skills/evaluation"><img src="https://agentmods.dev/badge/plugins/owl-listener/ai-design-skills/evaluation.svg" alt="Measured on agentmods" height="20"></a>
Per session not measured What this adds to a session before it is invoked.
When invoked not measured The manifest loads nothing itself; its 7 skills, 3 commands cost 184 tokens a session between them.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Security

Grade A, and why

evaluation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

claude-plugin/evaluation/.claude-plugin/plugin.json · 11 lines

What it actually says

{
  "name": "evaluation",
  "description": "Measure AI output quality, user satisfaction, task success, and design effectiveness.",
  "version": "1.0.0",
  "author": {
    "name": "MC Dean",
    "url": "https://github.com/Owl-Listener"
  },
  "license": "MIT"
}
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 11 lines scan A ab6c9efc1594

Subscribe to this mod's changes

evaluation is a plugin published in the GitHub repository Owl-Listener/ai-design-skills (167 stars, last pushed 2mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.