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 ivan-magda/mobile-design-skills --skill mobile-design-androidgit clone --depth 1 https://github.com/ivan-magda/mobile-design-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/ivan-magda/mobile-design-skills/mobile-design-android)<a href="https://agentmods.dev/skills/ivan-magda/mobile-design-skills/mobile-design-android"><img src="https://agentmods.dev/badge/skills/ivan-magda/mobile-design-skills/mobile-design-android/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/ivan-magda/mobile-design-skills/mobile-design-android"><img src="https://agentmods.dev/badge/skills/ivan-magda/mobile-design-skills/mobile-design-android.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 | $0.00066 | $0.01959 |
| Opus 5 | $0.00033 | $0.00979 |
| Sonnet 5 | $0.00013 | $0.00392 |
| Haiku 4.5 | $0.00007 | $0.00196 |
Grade A, and why
mobile-design-android 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 12d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This skill targets Android 16+ with Material 3 Expressive. For apps targeting older Android versions, fall back to standard Material 3 guidelines — those patterns are well-covered by general AI knowledge.
This skill guides creation of Android interfaces that feel genuinely designed for the platform — avoiding the generic "Material template" aesthetic that plagues AI-generated mobile UI. Every design decision should demonstrate understanding of Material 3 Expressive and the principles that separate professional apps from amateur ones.
The user provides Android UI requirements: a screen, flow, component, or full app interface. They may include context about purpose, audience, or technical constraints.
Design Thinking
Before generating any UI, commit to a clear design direction:
- Purpose: What does this screen accomplish? What's the user's emotional state when they arrive here?
- Personality: Pick a direction — vibrant/energetic, calm/focused, warm/approachable, bold/editorial, minimal/precise, playful/bouncy, industrial/utilitarian. M3 Expressive gives you far more personality tools than old Material — use them.
- Hero moments: Identify the 1-2 elements on each screen that deserve compound expressiveness — shape morphing + spring animation + emphasized typography + rich color simultaneously. Everything else stays quieter.
- Differentiation: What makes this feel like a designed app rather than a Material Components catalog demo? What single interaction would a user remember?
CRITICAL: M3 Expressive is not "add bounce to everything." It's a research-backed system where six design tactics — shape variety, rich color, typographic emphasis, strategic containment, fluid spring motion, and component flexibility — work together. The target feel is natural and physical — like pulling a book from a shelf where neighboring books slide slightly, or flicking a notification away and feeling a satisfying haptic rumble. Professional apps deploy these tactics selectively at hero moments. Amateur apps apply them uniformly everywhere.
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.
- 12d ago First seen · 67 lines · 66 tokens per session scan A 81741852300c
mobile-design-android is a skill published in the GitHub repository ivan-magda/mobile-design-skills (9 stars, last pushed 2mo ago), licensed MIT. It adds 66 tokens to every session and 1,959 once invoked, about $0.0003 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.
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