react-native-tv-best-practices

react-native-tv-best-practices is a skill for Codex from callstackincubator/agent-skills. It costs 91 tokens per session (2,417 once invoked), scanned A, original, MIT.

A review guide for React Native apps that run on televisions such as Apple TV, Android TV, Fire TV, or related web TV platforms. It covers the differences between TV use and phone use, including remote control input and viewing from a distance.

In plain words
What is it for?
Use it to review D-pad and focus navigation, 10-foot layouts, TV video and digital-rights management, low-memory performance, testing, releases, and accessibility.
Why use it?
TV apps have different navigation, layout, playback, memory, and accessibility needs that ordinary mobile guidance may not address.

Skill for Codex

Written for Codex: agents/openai.yaml present.

About the project

Callstack Agent Skills is a collection of instructions that gives AI coding assistants practical knowledge for building React Native applications. Developers use it for app development, performance, navigation, testing, CI, device automation, and migrations to React Native. The catalogue entries are the project's skills, rules, and instructions for compatible coding assistants.

callstackincubator/agent-skills · 1,638 stars · on GitHub

Install

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.

agentmods
npx agentmods add skills/callstackincubator/agent-skills/react-native-tv-best-practices
Any agent
npx skills add callstackincubator/agent-skills --skill react-native-tv-best-practices
Clone the repo
git clone --depth 1 https://github.com/callstackincubator/agent-skills

Made for: Codex.

Wrote 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.

agentmods badge for react-native-tv-best-practices

README.md
[![agentmods](https://agentmods.dev/badge/skills/callstackincubator/agent-skills/react-native-tv-best-practices.svg)](https://agentmods.dev/skills/callstackincubator/agent-skills/react-native-tv-best-practices)
Your own site
<a href="https://agentmods.dev/skills/callstackincubator/agent-skills/react-native-tv-best-practices"><img src="https://agentmods.dev/badge/skills/callstackincubator/agent-skills/react-native-tv-best-practices.svg" alt="Measured on agentmods" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,417 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00091 $0.02417
Opus 5 $0.00046 $0.01208
Sonnet 5 $0.00018 $0.00483
Haiku 4.5 $0.00009 $0.00242

Measured 6d ago against content hash 46b4524c57ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

react-native-tv-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 6d 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.

skills/react-native-tv-best-practices/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

React Native TV Best Practices

Overview

TV-specific review guidance for React Native-backed apps on Apple TV, Android TV, Fire TV, Amazon Vega/Kepler, and web-based TV targets such as Tizen or webOS.

Use this skill only for TV deltas: remote input, focus engines, 10-foot layout, platform packaging, playback/DRM, low-memory TV hardware, and TV accessibility. For ordinary React Native performance or architecture issues, use react-native-best-practices.

Skill Format

Reference files are grouped by topic prefix:

  • focus-*: focus engines, focus guides, focus event performance
  • nav-*: D-pad navigation, Back/Menu behavior, keyboard/search input
  • design-*: 10-foot typography, layout, color, focus visibility
  • perf-*: startup, memory, lists, animation, and network constraints on TV hardware
  • video-*: playback architecture, DRM/protocol selection, debugging
  • a11y-*: TV accessibility implementation and audit checks
  • setup-*: stack detection, setup, architecture, cross-platform behavior
  • test-* and release-*: test coverage, E2E, and CI/release workflows

When to Apply

Apply this skill when the app targets a TV platform and the work involves:

  • Focus movement, visible focus, focus restoration, or remote/D-pad input
  • TV layout readability, overscan/safe areas, or 10-foot UI density
  • TV player controls, manifests, DRM, decoder support, or playback errors
  • Performance on low-memory TV hardware, especially with video or large carousels
  • TV accessibility with screen readers, captions, focus order, or remote-only interaction
  • Platform setup for react-native-tvos, Expo TV, Amazon Vega/Kepler, Tizen, or webOS

Before You Start — Identify the TV Stack

This skill covers several TV stacks. Detect which one the app targets before flagging setup issues — demanding react-native-tvos, a tvOS Podfile, or an Android TV manifest on a Vega/Kepler or web-based TV app produces false positives.

Stack How to detect Setup expectations
react-native-tvos (Apple TV, Android TV, Fire TV) "react-native": "npm:react-native-tvos@…" in package.json tvOS Podfile (platform :tvos); Android TV leanback/LEANBACK_LAUNCHER manifest entries; TV emulator/simulator
Expo + react-native-tvos above plus @react-native-tvos/config-tv in app.json EXPO_TV=1 prebuild; react-native-tvos version must match the Expo SDK; not all Expo features/libraries are available on TV
Amazon Vega / Kepler Vega/Kepler SDK & tooling (@amazon-devices/* deps, Kepler manifest); no react-native-tvos Amazon's Vega/Kepler toolchain — react-native-tvos, tvOS Podfile, and Android TV manifest do not apply
Web-based TV (Tizen, webOS) web bundler (Rsbuild/webpack) + platform packaging; spatial-nav library Platform SDK packaging; @noriginmedia/norigin-spatial-navigation for focus

Read the full file on GitHub · 151 lines

Changes

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.

  1. 6d ago First seen · 151 lines · 91 tokens per session scan A 46b4524c57ce

Subscribe to this mod's changes

react-native-tv-best-practices is a skill published in the GitHub repository callstackincubator/agent-skills (1,638 stars, last pushed 28d ago), licensed MIT. It adds 91 tokens to every session and 2,417 once invoked, about $0.0005 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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