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-ui-ux-designgit 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-ui-ux-design)<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/software-ui-ux-design"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/software-ui-ux-design/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-ui-ux-design"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/software-ui-ux-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 179 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00038 | $0.04128 |
| Opus 5.5 | $0.00015 | $0.01651 |
| Sonnet 5.5 | $0.00008 | $0.00826 |
| Haiku 4.5 | $0.00004 | $0.00413 |
Grade A, and why
software-ui-ux-design 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 20d 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 — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Software UI/UX Design
Use this skill to design or audit interfaces, flows, component systems, and AI-assisted frontend briefs. It owns design direction, interaction behavior, state coverage, and implementation-ready handoff, not user research or code remediation.
Quick Reference
| Mode | Use When | Required Output |
|---|---|---|
| audit existing UI | product has usability, accessibility, consistency, or conversion issues | findings plus acceptance criteria |
| design new UI | flow or screen must be shaped from scratch | flow, states, components, handoff spec |
| design-system decision | team must choose primitives or token structure | recommendation with tradeoffs |
| AI frontend brief | Codex or Claude will generate UI | visual thesis, interaction thesis, verification plan |
| AI UX review | product includes chat, agents, or automation | transparency, control, failure handling guidance |
| style/palette/font selection | new surface needs a concrete design direction | generated design system from the offline database (scripts/search.py --design-system) |
When to Use This Skill
Use this skill when the main task is:
- designing screens, flows, or component behavior
- auditing an interface for design-level issues
- choosing design-system patterns or component libraries
- preparing a strong brief for AI-generated frontend work
- reviewing AI/automation UX
Route elsewhere when the main task is:
| Need | Use Instead |
|---|---|
| user research and study design | ../software-ux-research/SKILL.md |
| code-level accessibility fixes | ../software-accessibility/SKILL.md |
| accessibility test automation | ../qa-testing-accessibility/SKILL.md |
| frontend implementation | ../software-frontend/SKILL.md |
| product strategy or roadmap | ../product-management/SKILL.md |
What ships with it
57 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 368 B
- assets/audits/simplification-audit-template.md 3.4 KB
- assets/design-brief.md 1.9 KB
- assets/design-systems/template-design-system.md 20 KB
- assets/interaction-patterns/template-micro-interactions.md 16 KB
- assets/ui-generation/full-ui-spec.md 11 KB
- assets/ux-review-checklist.md 7.4 KB
- data/app-interface.csv 11 KB
- data/charts.csv 23 KB
- data/colors.csv 37 KB
- data/google-fonts.csv 730 KB
- data/icons.csv 57 KB
- data/landing.csv 25 KB
- data/motion.csv 14 KB
- data/products.csv 74 KB
- data/sources.json 44 KB
- data/styles.csv 146 KB
- data/typography.csv 50 KB
- data/ui-reasoning.csv 76 KB
- data/ux-guidelines.csv 27 KB
- learnings.consolidated.md 597 B
- learnings.md 3.5 KB
- references/ai-assisted-frontend-briefing.md 11 KB
- references/ai-automation-ux.md 55 KB
- references/ai-design-tools.md 6.6 KB
- references/component-library-comparison.md 7.6 KB
- references/consumer-craft-patterns.md 30 KB
- references/cro-framework.md 5.1 KB
- references/cultural-design-patterns.md 15 KB
- references/dark-mode-theming.md 23 KB
- references/data-visualization-ux.md 21 KB
- references/demographic-inclusive-design.md 12 KB
- references/design-database-search.md 8.3 KB
- references/design-systems.md 25 KB
- references/design-token-governance.md 8.3 KB
- references/form-design-patterns.md 22 KB
- references/frontend-aesthetics.md 26 KB
- references/implementation-research-workflow.md 12 KB
- references/mobile-ux-patterns.md 23 KB
- references/modern-ux-patterns.md 28 KB
- references/motion-design.md 6.3 KB
- references/neurodiversity-design.md 13 KB
- references/nielsen-heuristics.md 5.8 KB
- references/operational-playbook.md 20 KB
- references/performance-ux-vitals.md 8.6 KB
- references/prototype-to-production.md 4.1 KB
- references/simplification-patterns.md 19 KB
- references/surface-type-recipes.md 28 KB
- references/typography-systems.md 23 KB
- references/ui-generation-workflows.md 14 KB
- references/ui-quality-priority-rules.md 6.0 KB
- references/wcag-accessibility.md 14 KB
- scripts/contrast_check.py 5.2 KB runs code
- scripts/core.py 11 KB runs code
- scripts/design_system.py 55 KB runs code
- scripts/search.py 5.1 KB runs code
- scripts/test_scripts.py 7.1 KB runs code
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.
- 20d ago Changed · -69 lines 0fb0e7dd328f
- 1mo ago Changed · +1 lines 89be2cfb67ae
- 1mo ago First seen · 305 lines · 38 tokens per session scan A cbd79db835a7
software-ui-ux-design is a skill published in the GitHub repository vasilyu1983/AI-Agents-public (101 stars, last pushed 10d ago), licensed MIT. It adds 38 tokens to every session and 4,128 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 2026-09-03.
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