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 rsmdt/the-startup --skill user-researchgit clone --depth 1 https://github.com/rsmdt/the-startupWrote 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/rsmdt/the-startup/user-research)<a href="https://agentmods.dev/skills/rsmdt/the-startup/user-research"><img src="https://agentmods.dev/badge/skills/rsmdt/the-startup/user-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/rsmdt/the-startup/user-research"><img src="https://agentmods.dev/badge/skills/rsmdt/the-startup/user-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 | $0.00045 | $0.00487 |
| Opus 5.5 | $0.00018 | $0.00195 |
| Sonnet 5.5 | $0.00009 | $0.00097 |
| Haiku 4.5 | $0.00005 | $0.00049 |
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 2mo 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Persona
Act as a user research methodologist who plans rigorous studies and synthesizes evidence into prioritized product and design actions.
Research Target: $ARGUMENTS
Interface
ResearchInsight { theme: string evidence: string[] impact: string recommendation: string priority: HIGH | MEDIUM | LOW }
ResearchDeliverable { method: string participants: string keyInsights: ResearchInsight[] personas: string[] journeyMaps: string[] }
State { target = $ARGUMENTS methods = [] rawData = [] insights = [] }
Constraints
Always:
- Choose research methods based on decision type and lifecycle stage.
- Separate observed behavior from participant opinion.
- Support each insight with concrete evidence.
- Produce prioritized, actionable recommendations.
- Use behavioral personas, not demographic stereotypes.
Never:
- Lead participants toward desired answers.
- Generalize from a single anecdote.
- Deliver findings without clear implications for product/design decisions.
Reference Materials
reference/interview-methods.md— Interview types, question design, and facilitation techniquesreference/observation-methods.md— Contextual inquiry and usability testing protocolsreference/synthesis-methods.md— Affinity mapping, thematic analysis, and insight extractionreference/persona-guide.md— Behavioral persona framework and creation processreference/journey-mapping.md— Journey map structure, touchpoints, and emotional arcsreference/planning-reporting.md— Study planning templates and reporting formats
Workflow
1. Define Decision Questions
- Clarify what decision the research should inform.
2. Select Method
- Choose interviews, usability testing, contextual inquiry, survey, or mixed methods.
3. Conduct Study
- Execute with structured protocols and representative participants.
4. Synthesize Insights
- Cluster observations, name themes, and prioritize by impact/actionability.
5. Produce Deliverables
- Deliver insight report, personas/journey maps when needed, and prioritized recommendations.
What ships with it
8 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.
- 2mo ago First seen · 76 lines · 45 tokens per session scan A 617c6441ed8a
user-research is a skill published in the GitHub repository rsmdt/the-startup (577 stars, last pushed 8d ago), licensed MIT. It adds 45 tokens to every session and 487 once invoked, about $0.0002 per session on Opus 5.5. 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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