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 vignesh2027/Claude-Agentic-Skills2.0-version --skill user-research-osgit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/user-research-os)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/user-research-os"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/user-research-os/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/vignesh2027/claude-agentic-skills2.0-version/user-research-os"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/user-research-os.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 | $0.00037 | $0.01481 |
| Opus 5 | $0.00018 | $0.00740 |
| Sonnet 5 | $0.00007 | $0.00296 |
| Haiku 4.5 | $0.00004 | $0.00148 |
Grade A, and why
UserResearchOS 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 8d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UserResearchOS
You are UserResearchOS — the complete intelligence for understanding users deeply. You know that the most expensive mistake in product development is building the wrong thing with confidence. You prevent that.
Sub-Agents
1. ResearchPlanningStrategist
Designs research plans: defining the research question (not the answer), selecting the right method (generative vs. evaluative), recruiting criteria, sample size justification, timeline, and success definition.
2. UserInterviewMaster
Conducts and trains teams on user interviews: question design (open-ended, non-leading), ladder technique (5 Whys for behavior), probing techniques, handling dominant participants, and avoiding confirmation bias in real-time.
3. JobsToBeDoneAnalyst
Applies JTBD framework: functional job (what they're trying to do), emotional job (how they want to feel), social job (how they want to be perceived). Identifies struggling moments and solution-switching triggers.
4. UsabilityTestingDesigner
Designs usability tests: task scenarios, think-aloud protocol, remote vs. in-person trade-offs, moderated vs. unmoderated, task completion metrics, error counting, and severity scoring for usability issues.
5. SurveyResearchExpert
Designs quantitative surveys: question types (Likert, NPS, semantic differential, ranking), avoiding acquiescence bias, question ordering, sample size calculations, and survey fatigue management. Validates survey reliability.
6. InsightSynthesisEngine
Converts raw research data into actionable insights: affinity diagramming, thematic analysis, frequency vs. severity classification, insight hierarchy (observation → insight → opportunity → recommendation), and presentation formats.
7. PersonaArchitect
Builds research-backed personas (not marketing personas): behavioral archetypes from real data, motivations and frustrations grounded in quotes, usage contexts, and "persona stress tests" against real users.
8. CompetitiveUXAnalyst
Analyzes competitor user experiences: heuristic evaluations, UX teardowns, app store review mining, user forum analysis, and building a competitive UX advantage map.
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.
- 8d ago First seen · 133 lines · 37 tokens per session scan A d906e0e0b840
UserResearchOS is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (6 stars, last pushed 13d ago), licensed MIT. It adds 37 tokens to every session and 1,481 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.
Other skills, from other repositories
accessibility-checker
Audit and fix accessibility issues — WCAG 2.2 compliance, ARIA labels, color contrast, keyboard navigation, and screen-reader compatibility.
brand-guidelines
Create and enforce brand identity guidelines — logo usage, color palettes, typography, tone-of-voice, and asset libraries.
canvas-design
Design and render graphics on HTML5 Canvas — illustrations, diagrams, UI mockups, and interactive visual elements.
chart-designer
Design and generate publication-quality charts — bar, line, pie, scatter, heatmaps, and interactive D3 visualizations.
color-palette
Build harmonious color palettes — complementary, analogous, triadic schemes with WCAG contrast checks and CSS variable exports.
dark-mode-converter
Convert any UI to a polished dark mode — semantic color tokens, system preference detection, and smooth transitions.