rn-eas-deploy

A deployment workflow for Expo and React Native mobile apps using EAS, Expo's service for building and delivering apps. It sets up release configuration, credentials, builds, and store submissions.

In plain words
What is it for?
Use it to configure development, preview, and production builds, create a preview build for testing, build the production version, and submit it to Apple's App Store and Google Play.
Why use it?
It organizes the steps needed to move a finished mobile app from the project into testing and app stores. It can recognize completed setup when run again.

Skill for Claude CodeCodex

Part of the dev-flow plugin — 45 skills shipped together

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/lukedj78/dev-flow/rn-eas-deploy
Any agent
npx skills add lukedj78/dev-flow --skill rn-eas-deploy
Clone the repo
git clone --depth 1 https://github.com/lukedj78/dev-flow

Made for: Claude Code, Codex.

Or install dev-flow, the plugin that ships this one along with the rest of its 45 skills.

Per session 179 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,247 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00179 $0.02247
Opus 5 $0.00089 $0.01123
Sonnet 5 $0.00036 $0.00449
Haiku 4.5 $0.00018 $0.00225

Measured 2d ago against content hash 91ed00d68cbf, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rn-eas-deploy 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 2d 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.

rn-eas-deploy/SKILL.md · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

rn-eas-deploy — end-to-end EAS deploy orchestration

Contract

See references/contracts.md. Key facts:

  • Reads <project-root>/.workflow/meta.json#stack.framework — must be "expo-rn".
  • Requires meta.json#phase ≥ "feature_complete".
  • Wires eas.json + credentials + first production build + submit.
  • Sets meta.json#stack.deploy = "eas" and phase = "deployed" on success.
  • Idempotent: re-running detects existing config and skips already-done steps.

When this skill applies

  • Phase is feature_complete (or later, for subsequent releases).
  • User says: "deploy", "ship to stores", "release".
  • Orchestrator routes here from dev-flow.

Knowledge dependencies (read these first)

  • rn-eas-build-submit-update/SKILL.md — the underlying knowledge (eas.json, credentials, channels, runtimeVersion).
  • rn-eas-build-submit-update/references/eas-json.md — canonical 3-profile shape.
  • rn-eas-build-submit-update/references/credentials.md — how eas credentials works.
  • rn-publishing-payments/references/review-guidelines.md — pre-submission checklist.
  • rn-publishing-payments/references/store-assets.md — what assets must be ready.
  • references/observability.md — EAS Observe (production performance) + EAS Update Insights (OTA rollout health): what to enable before Step 7, what to read after Step 8/9, and how to turn the numbers into a hotfix/rollback decision.

Workflow

Step 1 — Verify preconditions

Read .workflow/meta.json. Abort if:

  • stack.framework != "expo-rn".
  • phase < "feature_complete".
  • App version not bumped since last deploy (read app.json#expo.version vs meta.json#last_deployed_version).

Step 2 — Pre-submission checklist

Walk through rn-publishing-payments/references/review-guidelines.md "Pre-submission checklist". For each item, verify:

  • App icon present + correct size.
  • Screenshots ready in store-assets/.
  • Privacy policy URL hosted.
  • Privacy nutrition label / Data safety form filled.
  • Sign in with Apple present (if other 3rd party auth on iOS).
  • Restore Purchases button on paywall (if IAP).
  • npx expo doctor passes.
  • npx tsc --noEmit passes.
  • npm test passes.
  • Smoke-tested on at least one real device per platform via preview profile.

Read the full file on GitHub · 176 lines

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.

  1. 2d ago First seen · 176 lines · 179 tokens per session scan A 91ed00d68cbf

Subscribe to this mod's changes

rn-eas-deploy is a skill published in the GitHub repository lukedj78/dev-flow (5 stars, last pushed 5d ago), licensed MIT. It adds 179 tokens to every session and 2,247 once invoked, about $0.0009 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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