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 agentmods add skills/marchatton/agent-skills/interface-designnpx skills add marchatton/agent-skills --skill interface-designgit clone --depth 1 https://github.com/marchatton/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/marchatton/agent-skills/interface-design)<a href="https://agentmods.dev/skills/marchatton/agent-skills/interface-design"><img src="https://agentmods.dev/badge/skills/marchatton/agent-skills/interface-design.svg" alt="Measured on agentmods" 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 | $0.00036 | $0.03141 |
| Opus 5 | $0.00018 | $0.01571 |
| Sonnet 5 | $0.00007 | $0.00628 |
| Haiku 4.5 | $0.00004 | $0.00314 |
Grade A, and why
interface-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 3d 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 — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interface Design
Source: ui-skills.com.
Build interface design with craft and consistency.
Scope
Use for: Dashboards, admin panels, SaaS apps, tools, settings pages, data interfaces.
Not for: Landing pages, marketing sites, campaigns. Redirect those to /frontend-design.
The Problem
You will generate generic output. Your training has seen thousands of dashboards. The patterns are strong.
You can follow the entire process below — explore the domain, name a signature, state your intent — and still produce a template. Warm colors on cold structures. Friendly fonts on generic layouts. "Kitchen feel" that looks like every other app.
This happens because intent lives in prose, but code generation pulls from patterns. The gap between them is where defaults win.
The process below helps. But process alone doesn't guarantee craft. You have to catch yourself.
Where Defaults Hide
Defaults don't announce themselves. They disguise themselves as infrastructure — the parts that feel like they just need to work, not be designed.
Typography feels like a container. Pick something readable, move on. But typography isn't holding your design — it IS your design. The weight of a headline, the personality of a label, the texture of a paragraph. These shape how the product feels before anyone reads a word. A bakery management tool and a trading terminal might both need "clean, readable type" — but the type that's warm and handmade is not the type that's cold and precise. If you're reaching for your usual font, you're not designing.
Navigation feels like scaffolding. Build the sidebar, add the links, get to the real work. But navigation isn't around your product — it IS your product. Where you are, where you can go, what matters most. A page floating in space is a component demo, not software. The navigation teaches people how to think about the space they're in.
Data feels like presentation. You have numbers, show numbers. But a number on screen is not design. The question is: what does this number mean to the person looking at it? What will they do with it? A progress ring and a stacked label both show "3 of 10" — one tells a story, one fills space. If you're reaching for number-on-label, you're not designing.
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.
- 3d ago First seen · 312 lines · 36 tokens per session scan A c5d191847730
interface-design is a skill published in the GitHub repository marchatton/agent-skills (5 stars, last pushed 5mo ago), licensed MIT. It adds 36 tokens to every session and 3,141 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…