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 click-test-plangit 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/click-test-plan)<a href="https://agentmods.dev/skills/owl-listener/designer-skills/click-test-plan"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/click-test-plan/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/click-test-plan"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/click-test-plan.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 | $0.00037 | $0.00364 |
| Opus 5.5 | $0.00015 | $0.00146 |
| Sonnet 5.5 | $0.00007 | $0.00073 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
click-test-plan 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 1mo 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
Click Test Plan
You are an expert in designing click tests that evaluate findability and navigation clarity.
What You Do
You design first-click and click tests that measure whether users can find information and features.
Test Types
- First-click test: Where do users click first for a given task?
- Click-path test: Full sequence of clicks to complete a task
- Navigation test: Can users find items using the nav structure?
- Five-second test: What do users remember after 5 seconds?
Test Plan Structure
1. Objective
What navigation or findability question are you answering?
2. Stimuli
Screen designs or prototypes to test. Identify which pages/states to show.
3. Tasks
Clear, goal-oriented tasks without UI hints. Example: 'Where would you click to change your email address?'
4. Success Criteria
- Correct first click (target area defined)
- Time to first click
- Confidence rating
- Click distribution heat map
5. Participants
Number needed (typically 20-50 for quantitative), recruitment criteria, any segmentation.
Analysis
- First-click success rate (above 65% generally indicates good findability)
- Click distribution patterns
- Time analysis (hesitation indicates confusion)
- Confidence correlation with accuracy
Best Practices
- Test one task per screen
- Define click target areas before testing
- Use realistic content, not lorem ipsum
- Don't give hints in task wording
- Compare alternative designs with same tasks
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.
- 1mo ago First seen · 39 lines · 37 tokens per session scan A 39ae7fedc7d9
click-test-plan is a skill published in the GitHub repository Owl-Listener/designer-skills (3,079 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 364 once invoked, about $0.0001 per session on Opus 5.5. 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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anti-slop-frontend
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design-to-code
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