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 AmazonAppDev/devices-agent-skills --skill rn-tv-ui-best-practicesgit clone --depth 1 https://github.com/AmazonAppDev/devices-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/amazonappdev/devices-agent-skills/rn-tv-ui-best-practices)<a href="https://agentmods.dev/skills/amazonappdev/devices-agent-skills/rn-tv-ui-best-practices"><img src="https://agentmods.dev/badge/skills/amazonappdev/devices-agent-skills/rn-tv-ui-best-practices/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/amazonappdev/devices-agent-skills/rn-tv-ui-best-practices"><img src="https://agentmods.dev/badge/skills/amazonappdev/devices-agent-skills/rn-tv-ui-best-practices.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 | $0.00120 | $0.01410 |
| Opus 5 | $0.00060 | $0.00705 |
| Sonnet 5 | $0.00024 | $0.00282 |
| Haiku 4.5 | $0.00012 | $0.00141 |
Grade A, and why
rn-tv-ui-best-practices 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
React Native TV UI Best Practices
This skill helps an agent review or build React Native TV UI across tvOS, Android TV, Fire TV, and Vega OS. Use it when the user asks to audit a TV app, fix focus or D-pad issues, or build common TV components (swimlanes, hero banners, drawers, tabs, modals, focus traps, search/auth flows). The references cover focus management, layout patterns, typography & contrast, input handling, and Vega-specific gotchas — pick the relevant one rather than reading them all. Anything that requires a TV at viewing distance (overscan, contrast under HDR, animation feel, 10-foot legibility) the agent flags for human verification rather than performing.
TV UX differs from mobile in ways the agent should keep in mind across every reference. Users sit ~10ft from the screen with a 9-button remote — no touch, no gestures. Focus moves along directional axes; navigation is linear. Type that's legible at phone distance is invisible at couch distance. Pure black/white looks sharp on a phone but blooms on HDR TVs. Animations carry meaning (signalling focus or direction) rather than decorating a touch. The reference files apply these constraints to specific surfaces — focus, layout, typography, input — so the agent doesn't need to reason about TV-vs-mobile differences each time.
Check before applying rules
- Runtime.
package.jsonwill listreact-native-tvos(→ tvOS + Android TV) or@amazon-devices/react-native-kepler(→ Vega). A monorepo may have both, scoped per package. - Confirm it's a TV app. No
Platform.isTVand no TV runtime in deps → skill doesn't apply.
For Vega, defer to the live Amazon docs for API specifics. This skill only covers the non-obvious cross-runtime gotchas — see vega-specifics.md.
Static helper
node references/scripts/audit.js src runs grep-style checks across all four sections (focus, input, layout, typography). Section selectable via --only / --skip. Zero deps, exits 1 on findings.
What ships with it
6 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.
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 · 89 lines · 120 tokens per session scan A f3f73d505f01
rn-tv-ui-best-practices is a skill published in the GitHub repository AmazonAppDev/devices-agent-skills (4 stars, last pushed 2mo ago), licensed MIT. It adds 120 tokens to every session and 1,410 once invoked, about $0.0006 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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