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 Uxcel-Lab/product-skills --skill searchgit clone --depth 1 https://github.com/Uxcel-Lab/product-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/uxcel-lab/product-skills/search)<a href="https://agentmods.dev/skills/uxcel-lab/product-skills/search"><img src="https://agentmods.dev/badge/skills/uxcel-lab/product-skills/search/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/uxcel-lab/product-skills/search"><img src="https://agentmods.dev/badge/skills/uxcel-lab/product-skills/search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00093 | $0.02377 |
| Opus 5 | $0.00046 | $0.01189 |
| Sonnet 5 | $0.00019 | $0.00475 |
| Haiku 4.5 | $0.00009 | $0.00238 |
Grade A, and why
ux-search 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 10d 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Search Skill
How this skill behaves (read first)
This is a generative skill. The default failure modes: a box and nothing more (an input that returns a bare list — no suggestions, no query persistence, no recovery), dead ends ("No results found." period), and feature stacking (rich suggestions + trending + recent + filters + chips everywhere, even where search is a minor utility). Search is a journey — formulate → suggest → results → refine — and which stages need investment depends on how users seek. This skill gates:
- Establish how users seek and how central search is — that decides which stages to invest in.
- Apply the always-true core — discoverable placement, working input conventions, suggestion basics, a scannable results page, no dead ends.
- Surface the context-dependent decisions (rich auto-suggest, filter layout, chips, view options) with trade-offs.
Then it hands off to ux-heuristics-audit, ux-accessibility-audit, ux-aesthetics-audit, and ux-microcopy-audit for validation.
Step 0 — Establish context before designing
Ask if not known; state the assumption if proceeding without an answer:
- How do users seek here? Known-item (they can name what they want — invest in the input, auto-suggest, re-finding) vs. exploratory/semi-directed (vague needs that evolve — invest in suggestions, related searches, filters, browsing). Re-finding is chronically underserved: recent searches and history pay off everywhere.
- How central is search? Search-first product (e-commerce, docs, booking) → persistent, prominent search and a rich results page. Search-as-emergency-exit → simpler treatment, but still discoverable.
- Platform — mobile: persistent search (search-focused apps) vs. expandable icon (search-secondary apps); filters concealed behind a Filter button; comfortable one-handed targets.
- Result type — products with images vs. documents vs. data rows: drives list-vs-grid and what a result row shows.
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.
- 10d ago First seen · 125 lines · 93 tokens per session scan A 008e9dbad731
ux-search is a skill published in the GitHub repository Uxcel-Lab/product-skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 93 tokens to every session and 2,377 once invoked, about $0.0005 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 2026-08-31.
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