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emilyLi2020
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eas-update-insights

Retrieves EAS Update crash rates, adoption metrics via eas-cli commands.

2|Updated Apr 14, 2026
Search Tags:#mobile-development#expo#eas-update#ota-updates#release-health#rollout-monitoring#crash-rate
One-click install
npx skills add https://github.com/emilyLi2020/WAVE --skill eas-update-insights-emilyli2020
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: eas-update-insights
Source: https://github.com/emilyLi2020/WAVE/tree/main/.agents/skills/eas-update-insights
Command: npx skills add https://github.com/emilyLi2020/WAVE --skill eas-update-insights-emilyli2020

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Developers using Expo EAS Updates lack quick, CLI-based access to aggregate health and adoption metrics, forcing them to navigate web dashboards to assess rollout performance, detect crash regressions, and compare embedded versus OTA user distribution.

Core Features & Use Cases

  • Per-Update Health Metrics: Retrieve crash rates, install/launch counts, unique user counts, and average payload size for any published EAS update group, broken down by iOS and Android.
  • Channel Adoption Insights: Compare the number of users on embedded (binary-bundled) builds versus over-the-air (OTA) updates for any channel and runtime version.
  • Rollout Monitoring Workflows: Detect crash spikes, verify post-publish update health, and gather metrics for release notes or incident reviews. Use Case: A mobile developer can quickly confirm their latest production EAS update has a crash rate below 1% across both platforms, and see that 70% of active users have adopted the new OTA build within 24 hours of rollout.

Quick Start

Request a health check for your latest published EAS update to get crash rates, install counts, and the embedded versus OTA user split for the production channel.

Frequently Asked Questions about eas-update-insights

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check EAS Update crash rates and adoption metrics from the CLI?▼

EAS Update crash rates and adoption metrics are retrieved directly via eas-cli commands, fetching per-platform crash rates, install counts, unique users, and payload sizes without needing the expo.dev web dashboard.

Can I monitor OTA rollout adoption versus embedded binary builds per channel?▼

Yes, you can monitor OTA rollout health by retrieving the embedded versus OTA user split per channel and runtime version, allowing you to compare binary-bundled builds against over-the-air updates.

What EAS Update health metrics are available for post-publish rollout monitoring?▼

Available EAS Update health metrics for post-publish rollout monitoring include per-platform crash rates, install and launch counts, unique user counts, average payload sizes, and embedded versus OTA user splits.

How do I detect crash regressions in my Expo EAS Updates?▼

You can detect crash regressions in Expo EAS Updates by retrieving per-platform crash rates for any published update group, allowing you to identify spikes and verify post-publish release health.

Can I gather EAS Update metrics for CI gating?▼

Yes, you can use aggregate EAS Update health and adoption metrics retrieved via eas-cli commands for CI gating to verify crash rates and rollout stability before proceeding with deployments.

Do I need the expo.dev web dashboard to verify EAS Update release health?▼

No, you do not need the expo.dev web dashboard to verify EAS Update release health, as you can retrieve aggregate performance and adoption metrics directly through eas-cli commands.

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