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 vasilyu1983/AI-Agents-public --skill software-ux-researchgit clone --depth 1 https://github.com/vasilyu1983/AI-Agents-publicWrote 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/vasilyu1983/ai-agents-public/software-ux-research)<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/software-ux-research"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/software-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/vasilyu1983/ai-agents-public/software-ux-research"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/software-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 | $0.00035 | $0.03851 |
| Opus 5 | $0.00017 | $0.01925 |
| Sonnet 5 | $0.00007 | $0.00770 |
| Haiku 4.5 | $0.00003 | $0.00385 |
Grade A, and why
software-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 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 — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Software UX Research
Use this skill to reduce product and design risk with evidence. It owns research method choice, study design, findings synthesis, and research operations. It does not own UI implementation.
Quick Reference
| Need | Default | Output |
|---|---|---|
| discovery and JTBD | semi-structured interviews with 5-8 participants | opportunity brief |
| usability evaluation | moderated usability test with 5-7 participants | findings report with severity |
| quantification after qual insight | survey or analytics review | segment or pattern readout |
| causal change validation | controlled experiment or staged rollout | experiment brief |
| research ops and repository design | lightweight intake, taxonomy, and consent model | research-ops recommendation |
| accessibility or low-digital-literacy research | moderated sessions with adapted materials | risk and inclusion report |
When to Use This Skill
Use this skill when the main question is:
- what user problem matters and for whom
- whether a concept, flow, or prototype is understandable and usable
- which research method is appropriate
- how to design a study and synthesize findings
- how to run research ops, repository, and consent workflows
Route elsewhere when the main task is:
| Need | Use Instead |
|---|---|
| UI design and interaction patterns | ../software-ui-ux-design/SKILL.md |
| code-level accessibility remediation | ../software-accessibility/SKILL.md |
| accessibility testing automation and CI gates | ../qa-testing-accessibility/SKILL.md |
| analytics instrumentation implementation | marketing-product-analytics and ../qa-observability/SKILL.md |
Defaults
- start from the decision to unblock
- choose the smallest method mix that can answer the question
- use qual for motives and friction, quant for scale and segmentation
- treat synthetic participants as hypothesis generation only
- require confidence level and evidence trail in every output
- current standards and regulatory claims must be verified before final advice
What ships with it
40 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.
- agents/openai.yaml 305 B
- assets/audits/heuristic-evaluation-template.md 6.4 KB
- assets/audits/ux-audit-report-template.md 6.4 KB
- assets/competitive/competitive-ux-matrix.md 5.8 KB
- assets/feedback/competitor-review-matrix-template.md 5.4 KB
- assets/feedback/pain-point-report-template.md 6.5 KB
- assets/journeys/customer-journey-canvas.md 5.7 KB
- assets/journeys/service-blueprint-template.md 5.9 KB
- assets/metrics/ux-metrics-dashboard.md 8.9 KB
- assets/research-plan-template.md 8.3 KB
- assets/testing/think-aloud-protocol.md 10 KB
- assets/testing/usability-test-plan.md 10 KB
- assets/testing/usability-testing-checklist.md 9.7 KB
- data/sources.json 66 KB
- learnings.consolidated.md 596 B
- learnings.md 1.6 KB
- references/ab-testing-implementation.md 19 KB
- references/agentic-evaluation-methods.md 13 KB
- references/ai-in-research.md 11 KB
- references/bigtech-feedback-patterns.md 13 KB
- references/competitive-ux-analysis.md 30 KB
- references/consumer-experience-quality.md 22 KB
- references/consumer-recruiting-guide.md 23 KB
- references/customer-journey-mapping.md 18 KB
- references/demographic-research-methods.md 14 KB
- references/evaluative-methods-guide.md 25 KB
- references/evaluative-research-loop.md 2.0 KB
- references/feedback-tools-guide.md 13 KB
- references/ia-testing-guide.md 21 KB
- references/non-technical-user-research.md 16 KB
- references/pain-point-extraction.md 13 KB
- references/priority-based-ux-audit.md 4.2 KB
- references/remote-research-patterns.md 24 KB
- references/research-frameworks.md 21 KB
- references/research-repository-management.md 23 KB
- references/review-mining-playbook.md 15 KB
- references/survey-design-guide.md 29 KB
- references/usability-testing-guide.md 19 KB
- references/ux-audit-framework.md 17 KB
- references/ux-metrics-framework.md 17 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.
- 9d ago First seen · 260 lines · 35 tokens per session scan A 87da31a633bd
software-ux-research is a skill published in the GitHub repository vasilyu1983/AI-Agents-public (87 stars, last pushed 10d ago), licensed MIT. It adds 35 tokens to every session and 3,851 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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