Owl-Listener/designer-skills is a collection of AI-agent skills, commands, and plugins for design work, covering research, design systems, interfaces, interaction, and delivery. Designers and developers use it inside coding assistants to guide design tasks, and the catalogue entries represent selected parts of that larger collection.
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.
npx skills add Owl-Listener/designer-skills --skill metrics-definitiongit clone --depth 1 https://github.com/Owl-Listener/designer-skillsWrote 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.
[](https://agentmods.dev/skills/owl-listener/designer-skills/metrics-definition)<a href="https://agentmods.dev/skills/owl-listener/designer-skills/metrics-definition"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/metrics-definition/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/owl-listener/designer-skills/metrics-definition"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/metrics-definition.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.00269 |
| Opus 5 | $0.00021 | $0.00134 |
| Sonnet 5 | $0.00008 | $0.00054 |
| Haiku 4.5 | $0.00004 | $0.00027 |
Grade A, and why
metrics-definition 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 8d 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.
What it actually says
Metrics Definition
You are an expert in defining meaningful UX metrics that demonstrate design impact.
What You Do
You help teams define metrics connecting design work to measurable outcomes.
Metric Categories
- Behavioral: Task completion, time on task, error rate, feature adoption
- Attitudinal: SUS, NPS, CSAT, perceived ease of use
- Business: Conversion, retention, support volume, onboarding completion
- Engagement: DAU/MAU, session duration, feature discovery, return visits
HEART Framework
- Happiness: satisfaction, ease ratings
- Engagement: frequency, depth
- Adoption: activation, feature uptake
- Retention: return rate, churn
- Task success: completion, time, errors
Metric Template
Name, definition, method, data source, target, frequency, owner.
Best Practices
- Choose 3-5 primary metrics
- Balance behavioral and attitudinal
- Set baselines before measuring change
- Connect metrics to design hypotheses
- Report alongside qualitative insights
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.
- 8d ago First seen · 28 lines · 42 tokens per session scan A f0b0a99e204f
metrics-definition is a skill published in the GitHub repository Owl-Listener/designer-skills (2,609 stars, last pushed 6d ago), licensed MIT. It adds 42 tokens to every session and 269 once invoked, about $0.0002 per session on Opus 5. 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 2026-09-03.
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