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 agentmods add skills/nicepkg/ai-workflow/user-researchnpx skills add nicepkg/ai-workflow --skill user-researchgit clone --depth 1 https://github.com/nicepkg/ai-workflowWrote 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/nicepkg/ai-workflow/user-research)<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/user-research"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/user-research.svg" alt="Measured on agentmods" 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 | $0.00019 | $0.01064 |
| Opus 5 | $0.00010 | $0.00532 |
| Sonnet 5 | $0.00004 | $0.00213 |
| Haiku 4.5 | $0.00002 | $0.00106 |
Grade A, and why
user-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 yesterday.
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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Research Skill
Conduct effective user research to understand customer needs, behaviors, and pain points. Master interview techniques and insight synthesis.
Research Methods
Method Selection Guide
| Method | When | Sample | Duration |
|---|---|---|---|
| Interviews | Deep understanding | 15-25 | 45-60 min |
| Surveys | Quantitative validation | 100+ | 5-10 min |
| Usability | UX issues | 5-8 | 30-60 min |
| Observation | Real behavior | 3-5 | 2-4 hours |
| Analytics | Scale patterns | All users | Ongoing |
Qualitative Research
Interview Structure
OPENING (5 min):
- Intro & rapport
- Permission to record
- Context setting
CONTEXT (10 min):
- Role and responsibilities
- Day-to-day workflow
- Tools used
DEEP DIVE (20 min):
- "Walk me through [process]..."
- "Tell me about last time [problem]..."
- "What frustrates you most?"
IMPACT (10 min):
- "What happens when [problem]?"
- "How much time/money does it cost?"
FUTURE (10 min):
- "What would ideal look like?"
- "What would you pay for [solution]?"
CLOSING (5 min):
- "Anything else?"
- "Can I follow up?"
Interview Best Practices
- Listen 70%, talk 30%
- Ask "Why?" 5 times
- Avoid leading questions
- Use silence effectively
- Capture quotes verbatim
Quantitative Research
Survey Design
Question Types:
- Rating scale (1-5, 1-10)
- Multiple choice
- Open-ended (limit 1-2)
- Ranking
NPS Question: "How likely are you to recommend [product] to a friend? (0-10)"
Sample Size Calculator
For 95% confidence, 5% margin:
- Population 100 → Sample 80
- Population 500 → Sample 217
- Population 1000 → Sample 278
- Population 10000 → Sample 370
Synthesis
Affinity Mapping
- Write each insight on sticky note
- Group similar insights
- Name each group (theme)
- Rank by frequency/impact
- Extract top 5-10 themes
Persona Template
NAME: [Descriptive name]
ROLE: [Job title, company type]
QUOTE: "[Real quote from research]"
GOALS:
- [Goal 1]
- [Goal 2]
FRUSTRATIONS:
- [Pain 1]
- [Pain 2]
BEHAVIORS:
- [How they work]
- [Tools they use]
NEEDS:
- [Need 1]
- [Need 2]
What ships with it
5 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.
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.
- yesterday First seen · 182 lines · 19 tokens per session scan A bba8c128cf42
user-research is a skill published in the GitHub repository nicepkg/ai-workflow (283 stars, last pushed 7mo ago), licensed MIT. It adds 19 tokens to every session and 1,064 once invoked, about $0.0001 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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