Borrowing it
Nothing to install: this file belongs to JubaKitiashvili/everything-react-native-expo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/JubaKitiashvili/everything-react-native-expo/main/.claude/skills/erne-plan/SKILL.mdgit 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/erne-plan)<a href="https://agentmods.dev/skills/jubakitiashvili/everything-react-native-expo/erne-plan"><img src="https://agentmods.dev/badge/skills/jubakitiashvili/everything-react-native-expo/erne-plan/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.
<a href="https://agentmods.dev/skills/jubakitiashvili/everything-react-native-expo/erne-plan"><img src="https://agentmods.dev/badge/skills/jubakitiashvili/everything-react-native-expo/erne-plan.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00013 | $0.00338 |
| Opus 5 | $0.00006 | $0.00169 |
| Sonnet 5 | $0.00003 | $0.00068 |
| Haiku 4.5 | $0.00001 | $0.00034 |
Grade A, and why
erne-plan 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- plan — 89% identical, 8 lines differ
What it actually says
/erne-plan — Feature Architecture Design
You are executing the /erne-plan command. Use the architect agent to design a feature architecture.
Process
- Understand the requirement — Ask clarifying questions if the feature description is vague
- Analyze existing codebase — Read relevant files, understand current navigation structure, state management, and API patterns
- Design the architecture — Using the architect agent's process:
- Decompose into components and screens
- Plan Expo Router file structure
- Select state management approach (Zustand / TanStack Query / local)
- Design data flow and API layer
- Consider platform-specific requirements
- Output the plan — Use the architect agent's output format:
Architecture Output
## Overview
[1-2 sentence description of the feature]
## File Structure
[New files to create with paths]
## Component Design
[Component hierarchy and responsibilities]
## Data Flow
[State management approach, API calls, caching strategy]
## Navigation
[New routes, layout changes, deep link support]
## Implementation Tasks
[Ordered list of implementation steps]
- Review with user — Present the plan and ask for approval before implementation
Notes
- Reference the active platform rules layer (
rules/expo/patterns.mdorrules/bare-rn/patterns.md) for conventions - Consider whether this is Expo managed, bare RN, or has native modules
- Include test strategy in the plan
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.
- 11d ago First seen · 50 lines · 13 tokens per session scan A 486893738ba0
erne-plan is a skill published in the GitHub repository JubaKitiashvili/everything-react-native-expo (45 stars, last pushed 5mo ago), licensed MIT. It adds 13 tokens to every session and 338 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
orca-emulator-android
Android device and emulator control from inside Orca over adb, with the live device view in Orca's emulator pane. Use when driving an adb-connected emulator or phone on Windows, Linux, or macOS: booting AVDs, taps, swipes, typing, hardware buttons, rotation, app install and launch, runtime permissions, the…
android-tombstone-symbolication
Symbolicate the .NET runtime frames in an Android tombstone file. Extracts BuildIds and PC offsets from the native backtrace, downloads debug symbols from the Microsoft symbol server, and runs llvm-symbolizer to produce function names with source file and line numbers. USE FOR triaging a .NET MAUI or Mono Android app…
dogfood
Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.
winapp-maui
Package and sign .NET MAUI Windows apps with winapp, resolving the resizetizer manifest dependency. Use when packaging or signing a .NET MAUI Windows app, building a MAUI MSIX or signed unpackaged build in CI, or fixing 'manifest contains unresolved placeholders ($placeholder$)' errors from winapp package.
react-native-ease-refactor
Scan for Animated/Reanimated code and migrate to EaseView.
apple-search-ads
When the user wants to set up, optimize, or scale Apple Search Ads (ASA) campaigns — including keyword bidding, match types, campaign structure, Creative Product Sets, CPP routing, and ROAS optimization. Use when the user mentions "Apple Search Ads", "ASA", "Search Ads", "Search tab ads", "Today tab ads", "CPT"…