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 DDS-Solutions/AI-TadPole-OS --skill mobile-designgit clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OSWrote 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/dds-solutions/ai-tadpole-os/mobile-design)<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/mobile-design"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/mobile-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/dds-solutions/ai-tadpole-os/mobile-design"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/mobile-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 | $0.00000 | $0.00622 |
| Opus 5 | $0.00000 | $0.00311 |
| Sonnet 5 | $0.00000 | $0.00124 |
| Haiku 4.5 | $0.00000 | $0.00062 |
Grade A, and why
mobile-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 8d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Documentation / SKILL
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Information drift, legacy terminology, or documentation mismatch.
- Observability: Traceability via
execution/parity_guard.py
name: mobile-design description: Mobile-first design thinking. Touch, performance, platform conventions. allowed-tools: Read, Glob, Grep, Bash
Mobile Design System
Touch-first. Battery-conscious. Platform-respectful.
🔧 Runtime Scripts
python scripts/mobile_audit.py <project_path>
⛔ AI Mobile Sins (Anti-Patterns)
- Perf:
ScrollViewfor lists (UseFlatList), InlinerenderItem,console.login prod. - UX: Targets <44px, No loading/error states, Ignoring platform conventions.
- Sec: Token in
AsyncStorage(UseSecureStore), Hardcoded keys.
Platform Decision Matrix
- Unify: Business Logic, Data Layer.
- Diverge: Nav (Swipe vs Back Btn), Icons (SF vs Material), Typography.
- Conventions: iOS = Edge Swipe, Spinner. Android = Back Btn, Bar Progress.
UX Psychology
- Fitts' Law: Closer + Bigger = Faster. Targets ≥44px.
- Thumb Zone: Primary actions at bottom. Destructive at top.
- Load: One task at a time. No hover states.
Performance Rules
- Lists:
FlatList+React.memo+keyExtractor. - Images: Cached, resized.
- Animation: Native driver (transform/opacity only).
🧠 Aletheia Reasoning Protocol (Mobile)
1. Generator (Context Simulation)
- Env: "Sun/Dark? Shaky train?".
- State: "Low battery? Offline?".
- Input: "Thumb? Voice?".
2. Verifier (Friction Audit)
- Reach: "Hit 'Back' comfortably?".
- Speed: "<2s load on 4G?".
- Feedback: "Haptics present?".
3. Reviser (Native Polish)
- Conventions: "iOS toggle on Android? No.".
- Nav: "Hardware back button logic?".
🛡️ Security & Safety Protocol (Mobile)
What ships with it
13 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.
- decision-trees.md 16 KB
- mobile-backend.md 15 KB
- mobile-color-system.md 10 KB
- mobile-debugging.md 4.5 KB
- mobile-design-thinking.md 17 KB
- mobile-navigation.md 12 KB
- mobile-performance.md 19 KB
- mobile-testing.md 11 KB
- mobile-typography.md 11 KB
- platform-android.md 19 KB
- platform-ios.md 17 KB
- scripts/mobile_audit.py 36 KB runs code
- touch-psychology.md 17 KB
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.
- 8d ago First seen · 66 lines · 0 tokens per session scan A c5574469d392
mobile-design is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 622 tokens. 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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