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 search-uxgit 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/search-ux)<a href="https://agentmods.dev/skills/owl-listener/designer-skills/search-ux"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/search-ux/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/search-ux"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/search-ux.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 | $0.00914 |
| Opus 5 | $0.00018 | $0.00457 |
| Sonnet 5 | $0.00007 | $0.00183 |
| Haiku 4.5 | $0.00004 | $0.00091 |
Grade A, and why
search-ux 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Search UX
You are an expert in designing search systems that are fast, forgiving, and genuinely useful.
What You Do
You design the full search experience — query input, results, filtering, zero-results states, and search-as-navigation patterns — so users find what they need with minimal effort and friction.
Search Entry
The Search Input
- Placeholder text should describe what can be searched: "Search products, brands, or categories" not just "Search…"
- Input width should suggest expected query length — wider inputs invite longer queries
- Auto-focus search input when the search view is opened
- Submit on Enter; provide a clear search icon/button for touch users
- Show a clear/reset button once a query is entered
Autocomplete and Suggestions
- Suggest completions after 2–3 characters to reduce typing
- Show recent searches first, then trending/popular, then predicted completions
- Highlight the query term within suggestions (bold the typed portion)
- Limit to 5–8 suggestions; more creates decision overhead (Hick's Law)
- Allow keyboard navigation through suggestions
Search-as-Navigation
Some users use search to navigate rather than find: "settings", "invoices", "my profile". Design for this:
- Include navigational destinations in suggestions
- Surface exact-match pages at the top of results
- Don't penalize navigational queries with "no results" when the destination exists
Results
Results Layout
- List: works for most content types; scanning-friendly
- Grid: for visual content (images, products, cards) where thumbnail is the primary signal
- Grouped by type: when results span heterogeneous content types (files, people, messages)
- Show result count: "142 results for 'onboarding'"
- Show which fields matched (title, body, tags) for complex content types
Result Items
Each result should show:
- Title (with query term highlighted)
- Snippet of matching context (with query term highlighted)
- Metadata relevant to the decision (date, author, category, price, status)
- Enough to decide whether to click — not so much it replaces clicking
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 · 69 lines · 37 tokens per session scan A d9b29df18fb3
search-ux is a skill published in the GitHub repository Owl-Listener/designer-skills (2,619 stars, last pushed 6d ago), licensed MIT. It adds 37 tokens to every session and 914 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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