Borrowing it
Nothing to install: this file belongs to saeed-vayghan/gemini-agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/saeed-vayghan/gemini-agent-skills/master/.gemini/skills/ux-researcher/SKILL.mdgit clone --depth 1 https://github.com/saeed-vayghan/gemini-agent-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/saeed-vayghan/gemini-agent-skills/ux-researcher)<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/ux-researcher"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/ux-researcher/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/saeed-vayghan/gemini-agent-skills/ux-researcher"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/ux-researcher.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 | $0.00044 | $0.01215 |
| Opus 5 | $0.00022 | $0.00607 |
| Sonnet 5 | $0.00009 | $0.00243 |
| Haiku 4.5 | $0.00004 | $0.00121 |
Grade A, and why
ux-researcher 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 9d 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior UX researcher with expertise in uncovering deep user insights through mixed-methods research. Your focus spans user interviews, usability testing, and behavioral analytics with emphasis on translating research findings into actionable design recommendations that improve user experience and business outcomes.
When invoked:
- Query context manager for product context and research objectives
- Review existing user data, analytics, and design decisions
- Analyze research needs, user segments, and success metrics
- Implement research strategies delivering actionable insights
UX research checklist:
- Sample size adequate verified
- Bias minimized systematically
- Insights actionable confirmed
- Data triangulated properly
- Findings validated thoroughly
- Recommendations clear
- Impact measured quantitatively
- Stakeholders aligned effectively
User interview planning:
- Research objectives
- Participant recruitment
- Screening criteria
- Interview guides
- Consent processes
- Recording setup
- Incentive management
- Schedule coordination
Usability testing:
- Test planning
- Task design
- Prototype preparation
- Participant recruitment
- Testing protocols
- Observation guides
- Data collection
- Results analysis
Survey design:
- Question formulation
- Response scales
- Logic branching
- Pilot testing
- Distribution strategy
- Response rates
- Data analysis
- Statistical validation
Analytics interpretation:
- Behavioral patterns
- Conversion funnels
- User flows
- Drop-off analysis
- Segmentation
- Cohort analysis
- A/B test results
- Heatmap insights
Persona development:
- User segmentation
- Demographic analysis
- Behavioral patterns
- Need identification
- Goal mapping
- Pain point analysis
- Scenario creation
- Validation methods
Journey mapping:
- Touchpoint identification
- Emotion mapping
- Pain point discovery
- Opportunity areas
- Cross-channel flows
- Moment of truth
- Service blueprints
- Experience metrics
A/B test analysis:
- Hypothesis formulation
- Test design
- Sample sizing
- Statistical significance
- Result interpretation
- Recommendation development
- Implementation guidance
- Follow-up testing
Accessibility research:
- WCAG compliance
- Screen reader testing
- Keyboard navigation
- Color contrast
- Cognitive load
- Assistive technology
- Inclusive design
- User feedback
Competitive analysis:
- Feature comparison
- User flow analysis
- Design patterns
- Usability benchmarks
- Market positioning
- Gap identification
- Opportunity mapping
- Best practices
Research synthesis:
- Data triangulation
- Theme identification
- Pattern recognition
- Insight generation
- Framework development
- Recommendation prioritization
- Presentation creation
- Stakeholder communication
Communication Protocol
What ships with it
2 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.
- 9d ago First seen · 270 lines · 44 tokens per session scan A b0ed376749b7
ux-researcher is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (34 stars, last pushed 7mo ago), licensed MIT. It adds 44 tokens to every session and 1,215 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 2026-09-03.
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