mobile-component-testing-with-rntl

mobile-component-testing-with-rntl is a skill for Claude Code from Goktug/ai-crew. It costs 44 tokens per session (1,892 once invoked), scanned A, original, MIT.

A testing guide for React Native components, screens, and hooks using React Native Testing Library. React Native is a framework for building mobile apps with JavaScript, and the library tests rendered screens without a simulator or device.

In plain words
What is it for?
Use it to add or repair isolated tests for React Native interfaces and hooks, including the first failing test for a new change.
Why use it?
It encourages test-driven development, or TDD: write a failing test, make it pass, then improve the code. Tests focus on what users can see and use instead of internal implementation details.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the ai-crew plugin — 24 skills, 8 commands, 7 agents, 1 hook shipped together

Good fit Use it to add or repair isolated tests for React Native interfaces and hooks, including the first failing test for a new change.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/goktug/ai-crew/mobile-component-testing-with-rntl
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.

Any agent
npx skills add Goktug/ai-crew --skill mobile-component-testing-with-rntl
Clone the repo
git clone --depth 1 https://github.com/Goktug/ai-crew

Made for: Claude Code.

Or install ai-crew, the plugin that ships this one along with the rest of its 24 skills, 8 commands, 7 agents, 1 hook.

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 mobile-component-testing-with-rntl

README.md
[![agentmods](https://agentmods.dev/badge/skills/goktug/ai-crew/mobile-component-testing-with-rntl/github.svg)](https://agentmods.dev/skills/goktug/ai-crew/mobile-component-testing-with-rntl)
Your own site
<a href="https://agentmods.dev/skills/goktug/ai-crew/mobile-component-testing-with-rntl"><img src="https://agentmods.dev/badge/skills/goktug/ai-crew/mobile-component-testing-with-rntl/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.

agentmods 80×15 button for mobile-component-testing-with-rntl

Your own site · 80×15
<a href="https://agentmods.dev/skills/goktug/ai-crew/mobile-component-testing-with-rntl"><img src="https://agentmods.dev/badge/skills/goktug/ai-crew/mobile-component-testing-with-rntl.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,892 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00044 $0.01892
Opus 5 $0.00022 $0.00946
Sonnet 5 $0.00009 $0.00378
Haiku 4.5 $0.00004 $0.00189

Measured 11d ago against content hash 51a9bff27d78, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

mobile-component-testing-with-rntl 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 11d 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/mobile-component-testing-with-rntl/SKILL.md · 163 lines

How it starts

The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mobile Component Testing with RNTL

Overview

Test React Native components with @testing-library/react-native: write a failing test first (RED), make it pass with the minimum implementation (GREEN), then refactor. Query the rendered tree the way a user or an accessibility tool would — by visible text, accessible role, rendered output — never by inspecting component internals. RNTL renders components in a JS-only environment, so tests are fast and do not require a simulator or device.

When to Use

  • The Build phase of an ai-crew run is implementing or modifying a React Native component, screen, or custom hook.
  • The developer subagent has been dispatched a task whose Skills to read first list includes this file.
  • A test for a React Native component is missing or broken.
  • The test-driven-development skill is in play and the surface under test is a React Native component (not a Node-side function).

When NOT to use:

  • Pure JS/TS utility functions with no React surface — use plain Jest, no RNTL.
  • Backend or Next.js work — use the appropriate web testing skill.
  • End-to-end flows (multi-screen navigation, real device, real network) — RNTL renders in isolation and does not exercise navigation or networking; use a dedicated end-to-end testing approach for those.

Process

This skill is a specialization of test-driven-development. The RED→GREEN cycle is:

  1. RED — Write a failing RNTL test that describes what the component should render or do, from a user's perspective. Run it. Confirm it fails for the right reason (component doesn't exist yet, or doesn't render the expected text, or doesn't fire the expected callback).
  2. GREEN — Write the minimum component code needed to make the test pass. Run the test. Confirm it passes.
  3. REFACTOR — Clean up the component. Run the test again. It should still pass.

Repeat for each acceptance criterion. One assertion per test is the default; group only when you're testing the same render output from multiple angles.

Read the full file on GitHub · 163 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. 11d ago First seen · 163 lines · 44 tokens per session scan A 51a9bff27d78

Subscribe to this mod's changes

mobile-component-testing-with-rntl is a skill published in the GitHub repository Goktug/ai-crew (6 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 1,892 once invoked, about $0.0002 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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