ranbot-ai/skills/eas-update-insights

EAS Update Insights

Query the health of published EAS Updates directly from the CLI: launches, failed launches, crash rates, unique users, payload size, the embedded-vs-OTA user split per channel, and the most popular updates per runtime version. The data is the same data that powers the update and channel detail pages on expo.dev; these commands expose it in the terminal in human and JSON form.

When to use this skill

Use this when the user wants to assess the health or adoption of a published EAS Update: crash rates, install counts, unique users, bundle size, or the split between embedded and OTA users on a channel.

Example prompts:

• "How is the latest update doing?"
• "Is the latest update healthy?"
• "Is the new release crashing more than the last one?"
• "How many users are on the latest update vs the embedded build?"
• "Which update is most popular on production right now?"
• "How big is our update bundle?"

Also fits: post-publish rollout monitoring and regression detection.

Don't use when the user needs per-user crash detail or device-level reporting; this skill only exposes aggregate EAS metrics.

Prerequisites

• eas-cli installed (npm install -g eas-cli).
• Logged in: eas login.
• For channel:insights: run from an Expo project directory (the command resolves the project ID from app.json). update:insights only needs a login.

Commands at a glance

| Command | Purpose | |---|---| | eas update:list | Discover recent update groups, their group IDs, and branch names | | eas update:insights <groupId> | Per-platform launches, failed launches, crash rate, unique users, payload size, daily breakdown | | eas update:view <groupId> --insights | Update group details + the same metrics appended | | eas channel:insights --channel <name> --runtime-version <version> | Embedded/OTA user counts, most popular updates, cumulative metrics for a channel + runtime |

All of these support --json --non-interactive for programmatic parsing.

Discovering IDs

Before querying insights for an update group, you need its group ID. Use eas update:list with either --branch <name> (updates on that branch) or --all (updates across all branches). Always pass --json --non-interactive when running non-interactively; without a branch/--all flag the command will otherwise prompt for a branch selection:

# Latest group id across all branches
eas update:list --all --json --non-interactive | jq -r '.currentPage[0].group'

# Latest group id on a specific branch
eas update:list --branch production --json --non-interactive | jq -r '.currentPage[0].group'

The JSON response has a currentPage array with one entry per update group (both platforms of the same publish are collapsed into one entry):

{
  "currentPage": [
    {
      "branch": "production",
      "message": "\"Fix checkout crash\" (1 week ago by someone)",
      "runtimeVersion": "1.0.6",
      "group": "03d5dfcf-736c-475a-8730-af039c3f4d06",
      "platforms": "android, ios",
      "isRollBackToEmbedded": false
    }
  ]
}

Entries also carry codeSigningKey and rolloutPercentage, but only when those features are in use for the group (undefined values are omitted from the JSON output).

When called with --branch <name>, the response also includes name (the branch name) and id (the branch ID) at the top level.

eas update:insights <groupId>

Shows launches, failed launches, crash rate, unique users, launch asset count, and average payload size for a single update group, broken down per platform (iOS, Android), plus a daily breakdown of launches and failures.

Basic use

eas update:insights 03d5dfcf-736c-475a-8730-af039c3f4d06

Flags

| Flag | Description | |---|---| | --days <N> | Look back N days. Default: 7. Mutually exclusive with --start/--end. | | --start <iso-date> / --end <iso-date> | Explicit time range, e.g. --start 2026-04-01 --end 2026-04-15. | | --platform <ios\|android> | Filter to a single platform. Omit to see all platforms in the group. | | --json | Machine-readable output. Implies --non-interactive. | | --non-interactive | Required when scripting. |

JSON output shape

Top level: groupId, timespan (start, end, daysBack), and platforms[] with one entry per platform the group was published to. Each platform entry has updateId, totals (uniqueUsers, installs, failedInstalls, crashRatePercent), payload (launchAssetCount, averageUpdatePayloadBytes), and a daily[] time series of { date, installs, failedInstalls }.

For the complete schema and field reference, see references/update-insights-schema.md.

Fields that matter for health assessment:

• platforms[].totals.crashRatePercent, computed as failedInstalls / (installs + failedInstalls) * 100. Zero when there are no installs.
• platforms[].totals.installs and uniqueUsers give the adoption sign