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 cuellarfr/design-skills --skill ux-researchgit clone --depth 1 https://github.com/cuellarfr/design-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/cuellarfr/design-skills/ux-research)<a href="https://agentmods.dev/skills/cuellarfr/design-skills/ux-research"><img src="https://agentmods.dev/badge/skills/cuellarfr/design-skills/ux-research/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/cuellarfr/design-skills/ux-research"><img src="https://agentmods.dev/badge/skills/cuellarfr/design-skills/ux-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00067 | $0.02838 |
| Opus 5 | $0.00034 | $0.01419 |
| Sonnet 5 | $0.00013 | $0.00568 |
| Haiku 4.5 | $0.00007 | $0.00284 |
Grade A, and why
ux-research 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 11d 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 — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UX Research
Plan, conduct, and analyze user research that produces actionable insights for product design. This skill provides frameworks, methods, and practical guidance for every stage of the research process — from defining the right question to presenting findings that drive decisions.
When to Use This Skill
Use this skill when:
- Planning a research study (choosing methods, defining scope, writing a plan)
- Writing interview scripts or discussion guides
- Creating usability test plans with tasks and success metrics
- Recruiting participants and writing screener surveys
- Analyzing qualitative data (affinity diagrams, thematic analysis)
- Synthesizing research into personas, journey maps, or opportunity maps
- Setting up continuous discovery practices (weekly interviews, OSTs)
- Presenting findings and recommendations to stakeholders
Core Principle
Research is a tool for reducing risk, not a deliverable. The goal is always to inform decisions — not to produce documents. Research is not asking people what they like, not a political tool, and not science. It's applied inquiry that helps you solve the right problem.
Research Types
Choose your research type based on what decisions are in play:
Generative / Exploratory
When: Before you know what you're building. You need to define the problem. Methods: Interviews, field observation, contextual inquiry, diary studies, literature review Output: Problem definition, opportunity areas, personas, mental models
Descriptive
When: You have a design problem and need to fully understand the context. Methods: Contextual inquiry, fly-on-the-wall observation, journey mapping, card sorting Output: Current-state maps, workflow diagrams, mental models
Evaluative
When: You have potential solutions and need to test them. Methods: Usability testing, heuristic evaluation, A/B testing, click testing, tree testing Output: Severity-ranked issues, task completion rates, recommendations
What ships with it
14 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- examples/interview-to-insights.md 10 KB
- examples/method-selection-scenarios.md 7.4 KB
- references/analysis-synthesis.md 13 KB
- references/continuous-discovery.md 9.0 KB
- references/interviewing-guide.md 12 KB
- references/research-methods-catalog.md 18 KB
- references/usability-testing-guide.md 19 KB
- references/workshop-methods.md 18 KB
- templates/findings-report-template.md 3.6 KB
- templates/interview-guide-template.md 2.8 KB
- templates/persona-template.md 6.9 KB
- templates/research-plan-template.md 3.3 KB
- templates/screener-template.md 4.4 KB
- templates/usability-test-plan-template.md 4.4 KB
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.
- 11d ago First seen · 271 lines · 67 tokens per session scan A 9cb6593e3ef5
ux-research is a skill published in the GitHub repository cuellarfr/design-skills (54 stars, last pushed 18d ago), licensed MIT. It adds 67 tokens to every session and 2,838 once invoked, about $0.0003 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 2026-08-30.
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