eas-update-insights
Check the health of published EAS Update: crash rates, install/launch counts, unique users, payload size, and the split between embedded and OTA users per…
Skill by expo
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About
Use cases: devops, monitoring-observability, ci-cd
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/eas-update-insights
Tools it pre-approves 2
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Bash(eas*)
What's inside
- Skill name
eas-update-insights- Description
- Check the health of published EAS Update: crash rates, install/launch counts, unique users, payload size, and the split between embedded and OTA users per channel. Use when the user asks how an update is performing, whether a rollout is healthy, how many users are on the embedded build vs OTA, or wants to gate CI on update health.
- License
- MIT
- Allowed tools
- Bash(eas, *)
- Instructions
- 232 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves some shell commands
Files (4)
- SKILL.md
- openai.yaml · agents/
- channel-insights-schema.md · references/
- update-insights-schema.md · references/
SKILL.md (first lines)
# EAS Update Insights
> **EAS service - costs apply.** Insights cover updates published through EAS Update, a paid Expo Application Services product with free-tier limits. Update delivery and the data behind these commands count against your plan's EAS Update usage. Review https://expo.dev/pricing.
Query the health of published EAS Update 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:
```bash
# 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):
```json
{
"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
```bash
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](./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 signal.
- `platforms[].daily` is a time series, useful for spotting a sudden spike in failures.
### Errors
- `Could not find any updates with group ID: "<id>"` — group doesn't exist or you lack access.
- `Update group "<id>" has no ios update (available platforms: android)` — `--platform ios` was used but the group wasn't published for iOS.
- `EAS Update insights is not supported by this version of eas-cli. Please upgrade ...` — the server deprecated a field the CLI relies on. Run `npm install -g eas-cli@latest`.
## `eas update:view <groupId> --insights`
Extends the standard `update:view` output with the same per-platform insights, inline.
```bash
# Human-readable
eas update:view 03d5dfcf-... --insights
eas update:view 03d5dfcf-... --insights --days 30From expo/skills, MIT.
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Signals
- Stars
- 3,006
- Forks
- 197
- Open issues
- 22
- Last commit (this folder)
- Oct 22, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/expo/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
eas-update-insights skill. Agent Mart. https://agentmart.dev/skills/expo-eas-update-insights (last updated 2026-10-24)