App: Skill for Claude Code

.claude/skills/onyx/SKILL.md

onyx is a skill for Claude Code from Expensify/App. It costs 50 tokens per session (1,571 once invoked), scanned A, original, MIT.

Guidance for using Onyx, a persistent key-value storage and publish-subscribe system for reactive, offline-first applications.

In plain words
What is it for?
It helps build action files, optimistic updates that appear immediately while requests finish, collections, offline handling, and reactive data connections.
Why use it?
It prevents state changes and API calls from being scattered through user-interface components, which can make offline behavior and updates unreliable.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is Expensify/App's own configuration. It tells Claude Code how to work on App itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything App configures →

About the project

Expensify/App is the source code for New Expensify, a financial collaboration application organized around chat. It is used by contributors building and testing the web, iOS, and Android versions of the application. Catalogue add-ons support development workflows such as mobile testing and agent-assisted work on the codebase.

Expensify/App · 5,081 stars · on GitHub · new.expensify.com

Reuse

Borrowing it

Nothing to install: this file belongs to Expensify/App. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Expensify/App/main/.claude/skills/onyx/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Expensify/App

Made for: Claude Code.

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 onyx

README.md
[![agentmods](https://agentmods.dev/badge/skills/expensify/app/onyx/github.svg)](https://agentmods.dev/skills/expensify/app/onyx)
Your own site
<a href="https://agentmods.dev/skills/expensify/app/onyx"><img src="https://agentmods.dev/badge/skills/expensify/app/onyx/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 onyx

Your own site · 80×15
<a href="https://agentmods.dev/skills/expensify/app/onyx"><img src="https://agentmods.dev/badge/skills/expensify/app/onyx.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,571 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00050 $0.01571
Opus 5.5 $0.00020 $0.00628
Sonnet 5.5 $0.00010 $0.00314
Haiku 4.5 $0.00005 $0.00157

Measured 2mo ago against content hash 261f89c25837, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

onyx 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 2mo 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.

.claude/skills/onyx/SKILL.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Core Concepts

Onyx is a persistent storage solution wrapped in a Pub/Sub library that enables reactive, offline-first data management — key-value storage with automatic AsyncStorage persistence, reactive subscriptions, and collection management.

For the full API reference (initialization, storage providers, cache eviction, benchmarks, Redux DevTools), see https://github.com/Expensify/react-native-onyx/blob/main/README.md.

Common Patterns

Action File Pattern

IMPORTANT: Onyx state must only be modified from action files (src/libs/actions/). Never call Onyx.merge, Onyx.set, Onyx.clear, or API.write directly from a component.

import Onyx from 'react-native-onyx';
import ONYXKEYS from '@src/ONYXKEYS';

function setIsOffline(isNetworkOffline: boolean, reason = '') {
    if (reason) {
        Log.info(`[Network] Client is ${isNetworkOffline ? 'offline' : 'online'} because: ${reason}`);
    }
    Onyx.merge(ONYXKEYS.NETWORK, {isOffline: isNetworkOffline});
}

export {setIsOffline};

Optimistic Updates Pattern

Optimistic updates allow users to see changes immediately while the API request is queued. This is fundamental to Expensify's offline-first architecture.

For which pattern to use (A / B / C / D) and UX behavior for each, see https://github.com/Expensify/App/blob/main/contributingGuides/philosophies/OFFLINE.md.

Understanding the Three Data Sets

CRITICAL: Backend response data is automatically applied via Pusher updates or HTTPS responses. You do NOT manually set backend data in successData/failureData — only UI state cleanup goes there.

  1. optimisticData (Applied immediately, before the API call)
    • Mirrors what the backend would return on success
    • Gives the user instant feedback without waiting for the server
    • Often includes pendingAction to flag the change as in-flight (e.g. greying out a comment while offline)
    • pendingAction is cleared once successData or failureData is applied

Read the full file on GitHub · 147 lines

Files

What ships with it

1 file 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.

  1. 2mo ago First seen · 147 lines · 50 tokens per session scan A 261f89c25837

Subscribe to this mod's changes

onyx is a skill published in the GitHub repository Expensify/App (5,081 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 1,571 once invoked, about $0.0002 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens