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 tushaarmehtaa/tushar-skills --skill interface-designgit clone --depth 1 https://github.com/tushaarmehtaa/tushar-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/tushaarmehtaa/tushar-skills/interface-design)<a href="https://agentmods.dev/skills/tushaarmehtaa/tushar-skills/interface-design"><img src="https://agentmods.dev/badge/skills/tushaarmehtaa/tushar-skills/interface-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/tushaarmehtaa/tushar-skills/interface-design"><img src="https://agentmods.dev/badge/skills/tushaarmehtaa/tushar-skills/interface-design.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 | $0.00035 | $0.01422 |
| Opus 5 | $0.00017 | $0.00711 |
| Sonnet 5 | $0.00007 | $0.00284 |
| Haiku 4.5 | $0.00003 | $0.00142 |
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 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interface design
Build a functional interface whose visual system, information architecture, states, and motion follow from the product's job. Preserve an effective existing system; do not replace it with a personal preset.
Establish the design problem
Recover available context before asking questions:
- product, audience, primary task, and success condition;
- route or component scope and implementation stack;
- existing design tokens, components, assets, typography, and brand rules;
- content shape, density, hierarchy, and likely extremes;
- supported viewports, input methods, themes, and accessibility requirements;
- required states, data dependencies, and destructive or irreversible actions.
Ask only for unresolved choices that materially change the result. When the user has not chosen a visual direction, propose one or more reasoned directions from the product evidence and proceed with the most defensible option unless the choice is consequential or costly to reverse.
Choose the working mode
- Extend — reuse and improve an established system.
- Redesign — preserve product semantics while changing structure or visual language.
- Greenfield — create a small system from content and task requirements.
- Explore — present distinct directions or a design specification before implementation when the brief is intentionally open.
Do not erase existing brand decisions merely because common defaults are present. Do not preserve them merely because they exist; evaluate whether they support the task.
Model the interface job
Adapt the composition to the surface:
- Marketing — make proposition, product evidence, proof, and next action easy to evaluate.
- Dashboard — prioritize current state, frequent tasks, comparison, scanning, and useful density.
- Form or workflow — clarify sequence, requirements, validation, recovery, and completion.
- Settings — expose state and consequence; separate routine changes from dangerous actions.
- Data table or analysis — support sorting, filtering, comparison, selection, empty results, and overflow.
- Documentation — support orientation, navigation, readable examples, and long-form rhythm.
- Consumer experience — fit touch, attention, trust, and emotional tone to the actual context.
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 · 130 lines · 35 tokens per session scan A dd3e685f1288
interface-design is a skill published in the GitHub repository tushaarmehtaa/tushar-skills (11 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 1,422 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 2026-08-30.
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