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 prasad-vennam/Awesome-Android-AI-Agent-Skills --skill android-wear-os-composegit clone --depth 1 https://github.com/prasad-vennam/Awesome-Android-AI-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/prasad-vennam/awesome-android-ai-agent-skills/android-wear-os-compose)<a href="https://agentmods.dev/skills/prasad-vennam/awesome-android-ai-agent-skills/android-wear-os-compose"><img src="https://agentmods.dev/badge/skills/prasad-vennam/awesome-android-ai-agent-skills/android-wear-os-compose/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/prasad-vennam/awesome-android-ai-agent-skills/android-wear-os-compose"><img src="https://agentmods.dev/badge/skills/prasad-vennam/awesome-android-ai-agent-skills/android-wear-os-compose.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 | $0.00020 | $0.00334 |
| Opus 5 | $0.00010 | $0.00167 |
| Sonnet 5 | $0.00004 | $0.00067 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
android-wear-os-compose 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.
What it actually says
Wear OS Compose & Hardware Inputs ⌚
Building for the wrist comes with entirely new constraints regarding battery life, input mechanisms, and screen real estate.
⚡ When to Use
- When asked to build a Wear OS companion app or standalone watch app.
🏗️ Core Rules / Pillars
1. Wear Compose Dependencies
- Pattern: Standard compose material will look incorrect and tiny on Wear OS. ALWAYS use
androidx.wear.compose:compose-materialorcompose-material3specifically meant for watches. - Implementation: Instead of
Scaffold, useScaffoldfrom the Wear OS library which includes aTimeTextandPositionIndicator.
2. Rotary Input (Crown support)
- Pattern: Scrolling lists MUST support the physical rotating crown on the watch.
- Implementation: Combine
ScalingLazyColumnwith.rotaryScrollable()modifier to capture hardware scroll events continuously.
🚧 Critical Anti-Hallucination Guards
- Trap: Do not hallucinate massive long-running background workers for Wear OS! Always use Google Play Services
DataClientorMessageClientto safely proxy network requests to the attached phone to save watch battery life.
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 · 34 lines · 20 tokens per session scan A 51ccc224fc61
android-wear-os-compose is a skill published in the GitHub repository prasad-vennam/Awesome-Android-AI-Agent-Skills (9 stars, last pushed 5mo ago), licensed MIT. It adds 20 tokens to every session and 334 once invoked, about $0.0001 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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