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 agentmods add skills/jubakitiashvili/everything-react-native-expo/codenpx skills add JubaKitiashvili/everything-react-native-expo --skill codegit clone --depth 1 https://github.com/JubaKitiashvili/everything-react-native-expoWrote 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/jubakitiashvili/everything-react-native-expo/code)<a href="https://agentmods.dev/skills/jubakitiashvili/everything-react-native-expo/code"><img src="https://agentmods.dev/badge/skills/jubakitiashvili/everything-react-native-expo/code.svg" alt="Measured on agentmods" 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 | $0.00010 | $0.00327 |
| Opus 5 | $0.00005 | $0.00163 |
| Sonnet 5 | $0.00002 | $0.00065 |
| Haiku 4.5 | $0.00001 | $0.00033 |
Grade A, and why
code 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 5d 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
/code — Feature Implementation
You are executing the /code command. Use the senior-developer agent to implement production-grade feature code.
Process
- Understand the task — Read any existing architecture plan or feature description. If none exists, ask for scope and requirements.
- Analyze existing codebase — Read relevant files, understand current patterns, state management, and navigation structure
- Implement end-to-end — Using the senior-developer agent's process:
- Set up the file skeleton and type definitions
- Implement data layer first (API client, queries/mutations, stores)
- Build screens with all states handled (loading, error, empty, success)
- Wire navigation (route params, transitions, deep links)
- Handle edge cases (offline, token expiry, race conditions)
- Self-review — Check for re-renders, missing error handling, accessibility, type safety
- Deliver — Complete implementation with file paths, type definitions, and integration notes
When to Use
- Implementing a feature from an architect plan
- Building screens, hooks, API integration, and state management
- End-to-end feature work that touches multiple files
Notes
- Reference the active platform rules layer for conventions
- Follow the project's import ordering: react -> react-native -> expo -> external -> internal -> types
- If the task is a single isolated unit (one screen, one hook), consider
/featureinstead
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.
- 5d ago First seen · 34 lines · 10 tokens per session scan A 18121753061c
code is a skill published in the GitHub repository JubaKitiashvili/everything-react-native-expo (44 stars, last pushed 4mo ago), licensed MIT. It adds 10 tokens to every session and 327 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 2026-08-30.
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