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 kinhluan/skills --skill product-ux-researchgit clone --depth 1 https://github.com/kinhluan/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/kinhluan/skills/product-ux-research)<a href="https://agentmods.dev/skills/kinhluan/skills/product-ux-research"><img src="https://agentmods.dev/badge/skills/kinhluan/skills/product-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/kinhluan/skills/product-ux-research"><img src="https://agentmods.dev/badge/skills/kinhluan/skills/product-ux-research.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 | $0.00036 | $0.02803 |
| Opus 5 | $0.00018 | $0.01401 |
| Sonnet 5 | $0.00007 | $0.00561 |
| Haiku 4.5 | $0.00004 | $0.00280 |
Grade A, and why
product-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 — 412 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product UX Research
User-centered research methods to understand needs, validate designs, and measure usability.
"Design is not just what it looks like and feels like. Design is how it works." — Steve Jobs
1. User Personas
Persona Template
## Persona: [Name] — [Role/Identity]
### Demographics
- Age, location, income, education
- Job title, company size, industry
### Goals
- What are they trying to achieve?
- What does success look like for them?
### Pains & Frustrations
- What blocks them from achieving goals?
- What workarounds do they currently use?
### Behaviors
- Daily routines related to the problem
- Tools they currently use
- How they make decisions
### JTBD
"When [situation], I want to [motivation], so I can [expected outcome]."
### Quote
"[Direct quote from interview that captures their mindset]"
Persona Creation Process
1. Interview 8-12 target users
2. Identify patterns in goals, pains, behaviors
3. Group into 2-4 persona archetypes
4. Validate with quantitative data (survey)
5. Share with team and keep visible
Rules:
- Base on real data, not assumptions
- Focus on behaviors and goals, not demographics
- Keep to 2-4 personas (more = confusion)
- Update every 6-12 months
2. Journey Mapping
Journey Map Template
Stage: Awareness → Consideration → Onboarding → First Value → Regular Use → Advocacy
─────────────────────────────────────────────────────────────────────────────
User Action: Sees ad → Reads reviews → Signs up → Completes → Uses core → Refers
onboarding feature friend
Emotion: 😐 Curious → 😕 Skeptical → 😃 Excited → 😰 Confused → 😊 Satisfied → 🤩 Enthusiastic
Touchpoint: Social → Landing page → Email → In-app → Dashboard → Share modal
media → Blog post confirm tutorial
Pain Point: — → "Is this → Form too → Can't find → Missing → No incentive
different?" long key feature feature X
Opportunity: — → Case study → Social → Interactive → Feature → Referral
with ROI login guide request rewards
What ships with it
1 file 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.
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 · 412 lines · 36 tokens per session scan A 7a802c5ef30a
product-ux-research is a skill published in the GitHub repository kinhluan/skills (4 stars, last pushed 15d ago), licensed MIT. It adds 36 tokens to every session and 2,803 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 2026-08-31.
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