What is react-native-state?

Guidance for managing application state in React Native using Redux Toolkit, Zustand, TanStack Query, and persistent storage. Application state is the data a mobile app needs to remember and share between screens.

Use it when designing React Native state management, handling server data, choosing between Redux Toolkit, Zustand, or TanStack Query, or adding data persistence.

It helps choose and use tools for keeping screen data consistent and for saving data between app sessions. The description does not identify a single required state-management approach.

react-native-state — Skill by pluginagentmarketplace

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/pluginagentmarketplace/custom-plugin-react-native/react-native-state

Any agent

npx skills add pluginagentmarketplace/custom-plugin-react-native --skill react-native-state

Clone the repo

git clone --depth 1 https://github.com/pluginagentmarketplace/custom-plugin-react-native

Made for: Claude Code, Codex.

Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,046 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin unknown 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.

Model	Per session	Once invoked
Fable 5	$0.00020	$0.01046
Opus 5	$0.00010	$0.00523
Sonnet 5	$0.00004	$0.00209
Haiku 4.5	$0.00002	$0.00105

Measured yesterday against content hash ce4b80d28e53, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

react-native-state 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 yesterday.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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-state/SKILL.md · 189 lines

The source is not reproduced here

No licence file

Read it on GitHub

Files

What ships with it

5 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.

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.

yesterday First seen · 189 lines · 20 tokens per session scan A ce4b80d28e53

Subscribe to this mod's changes

react-native-state is a skill published in the GitHub repository pluginagentmarketplace/custom-plugin-react-native (10 stars, last pushed 7mo ago), with no licence file. It adds 20 tokens to every session and 1,046 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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