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 f0d010c/stark --skill ux-designgit clone --depth 1 https://github.com/f0d010c/starkWrote 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/f0d010c/stark/ux-design)<a href="https://agentmods.dev/skills/f0d010c/stark/ux-design"><img src="https://agentmods.dev/badge/skills/f0d010c/stark/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/f0d010c/stark/ux-design"><img src="https://agentmods.dev/badge/skills/f0d010c/stark/ux-design.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 | $0.00125 | $0.03435 |
| Opus 5.5 | $0.00050 | $0.01374 |
| Sonnet 5.5 | $0.00025 | $0.00687 |
| Haiku 4.5 | $0.00013 | $0.00344 |
Grade A, and why
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 1mo 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 — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ux-design - product flow before pixels
Use this skill when the product has to be understandable and usable, not just attractive. The output should make the user path clearer, reduce unnecessary decisions, and define states that survive real use.
What This Skill Can Do
- Map core user journeys, task paths, branching flows, and recovery paths.
- Define information architecture, navigation, labels, content groups, and page/screen inventory.
- Design onboarding, activation, checkout, signup, forms, settings, dashboards, command palettes, and internal workflows.
- Specify empty, loading, error, permission, success, stale, retry, resume, and audit states.
- Define task ergonomics: frequency, risk, cognitive load, control model, speed paths, error prevention, recovery, and evidence tasks.
- Choose usable workflow patterns: guided setup, wizard with review, command surface, priority queue, master/detail, monitoring board, workbench, settings, permission matrix, transparent checkout, task-led docs, agent progress, collaboration thread, and mobile priority stack.
- Evaluate polished UI with heuristic review, cognitive walkthrough prompts, severity ranking, evidence, first repair, and re-check.
- Validate usability with scenario tests for first-run, returning-user, error/recovery, keyboard-only, and mobile/touch paths.
- Audit an existing UI for usability, hierarchy, conversion, repeated-use friction, accessibility risks, and missing states.
- Hand a compact UX decision brief to platform skills so visual design does not erase the product job.
Step 1 - Identify the job and user mode
Before designing screens, state the smallest useful context:
- Primary job: what the user is trying to finish.
- User mode: first-time, returning, power user, admin, buyer, creator, operator, or support.
- Frequency: one-time, occasional, daily, or high-volume repeated use.
- Risk: low-risk browse, reversible edit, money/data/security impact, or destructive action.
If any of these are unclear and materially affect the flow, ask one short question. If the answer is easy to infer from the request, infer it and continue.
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.
- 1mo ago First seen · 287 lines · 125 tokens per session scan A 1e43c13c0c9d
ux-design is a skill published in the GitHub repository f0d010c/stark (33 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 125 tokens to every session and 3,435 once invoked, about $0.0005 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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