Official agent skill

Eas Update Insights

by expo in expo/skills

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.

OfficialMITAuto-check passedMobile

Install Eas Update Insights

skills CLI
$ npx skills add expo/skills --skill eas-update-insights -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install expo/skills eas-update-insights --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/expo/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/expo/skills/eas-update-insights .claude/skills/eas-update-insights && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
eas-update-insights
GitHub stars
2.7k
Used in
4 other repos
Token cost
~3.1k tokens
SKILL.md length
1,286 words
Files
4 (incl. references)
Skills in repo
26
Repo updated
First seen
Licence
MIT

At a glance

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.

  • The user asks how an update is performing
  • SKILL.md covers When to use this skill, Prerequisites, Commands at a glance and Discovering IDs, plus 7 more sections
  • Calls eas, jq and npm
  • Whether a rollout is healthy

What it does

Eas Update Insights is an agent skill from expo/skills, published by the product's own GitHub organization. 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.

Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml`, `references/channel-insights-schema.md` and `references/update-insights-schema.md`).

It sits in Mobile. It works with Expo. The repository describes itself as: A collection of AI agent skills for working with Expo projects and Expo Application Services. The licence is MIT.

When your agent uses it

  • The user asks how an update is performing
  • Whether a rollout is healthy
  • How many users are on the embedded build vs OTA
  • Wants to gate CI on update health

Example prompts

  • “/eas-update-insights”

Requirements

  • Node.js
  • Pre-approved tools (allowed-tools): Bash(eas *)

What it can do on your machine

Read from SKILL.md and the folder at commit d4f4840. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash(eas *)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • eas
    • jq
    • npm
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • expo.dev

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Eas Update Insights loads about 3.1k tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 88 tokens; SKILL.md has 1,286 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~3.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from expo/skills at commit d4f4840, republished under its MIT licence (© expo). 1,286 words, ~3,058 tokens.

Download SKILL.mdSave it as .claude/skills/eas-update-insights/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
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.
allowed-tools
Bash(eas *)
version
1.0.0
license
MIT

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

CommandPurpose
eas update:listDiscover 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> --insightsUpdate 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
FlagDescription
--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.
--jsonMachine-readable output. Implies --non-interactive.
--non-interactiveRequired 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 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 30

# JSON: wrapped as { updates: [...], insights: {...} }
eas update:view 03d5dfcf-... --json --insights

Without --insights, update:view behaves exactly as before — no JSON shape change for existing consumers. The --days / --start / --end flags only apply when --insights is set; passing them alone errors.

eas channel:insights --channel <name> --runtime-version <version>

Shows, per channel, how many users are on the embedded build vs over-the-air updates and which updates are pulling the most traffic. Must be run from an Expo project directory.

Show full SKILL.md (514 more words)Show less
Basic use
bash
eas channel:insights --channel production --runtime-version 1.0.6
Flags
FlagDescription
--channel <name>Required. The channel name (e.g. production, staging).
--runtime-version <version>Required. Match exactly what was published. Check runtimeVersion values in update:list.
--days <N>Look back N days. Default: 7.
--start / --endExplicit time range, like update:insights.
--json / --non-interactiveMachine-readable output.
JSON output shape

Top level: channel, runtimeVersion, timespan, embeddedUpdateTotalUniqueUsers, otaTotalUniqueUsers, mostPopularUpdates[] (each with rank, groupId, message, platform, totalUniqueUsers), cumulativeMetricsAtLastTimestamp[], plus chart-shaped uniqueUsersOverTime and cumulativeMetricsOverTime objects with labels and datasets.

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

Fields that matter:

  • embeddedUpdateTotalUniqueUsers is the count of users running the embedded (binary-bundled) build.
  • mostPopularUpdates[] is updates ranked by totalUniqueUsers. Caveat: this is the top-N the server returns; otaTotalUniqueUsers is a sum of that list and may undercount total OTA reach if more than top-N updates are active.
  • uniqueUsersOverTime and cumulativeMetricsOverTime are daily data series for charting.
Errors
  • Could not find channel with the name <name> — typo or wrong account.
  • "No update launches recorded" in the table / empty mostPopularUpdates in JSON — no OTA update has been launched for that channel + runtime yet. Usually means the channel is still serving the embedded build only.

Common workflows

Verify the update I just published is healthy
bash
# 1. Grab the latest publish on production
GROUP_ID=$(eas update:list --branch production --json --non-interactive \
  | jq -r '.currentPage[0].group')

# 2. Give it some adoption time (minutes to hours), then check crash rate
eas update:insights "$GROUP_ID" --json --non-interactive \
  | jq '.platforms[] | {platform, installs: .totals.installs, crashRate: .totals.crashRatePercent}'

Compare the crashRate across platforms and against previous releases; sudden spikes or asymmetric behaviour (iOS spiking while Android is flat, or vice versa) is the signal to investigate.

Compare adoption between two channels
bash
for channel in production staging; do
  echo "--- $channel ---"
  eas channel:insights --channel "$channel" --runtime-version 1.0.6 --json --non-interactive \
    | jq '{
        channel,
        embedded: .embeddedUpdateTotalUniqueUsers,
        ota: .otaTotalUniqueUsers,
        topUpdate: .mostPopularUpdates[0]
      }'
done
Detect a rollout regression in the last 24 hours
bash
eas update:insights "$GROUP_ID" --days 1 --json --non-interactive \
  | jq '.platforms[] | select(.totals.crashRatePercent > 1)'
Summarize group metrics for release notes
bash
eas update:view "$GROUP_ID" --insights --days 30

Human-readable group details plus 30 days of launches/failures per platform — suitable for pasting into a changelog or incident review.

Output tips

  • Pipe JSON through jq; payloads are structured for easy filtering.
  • --json implies --non-interactive, but passing both is explicit and scripting-friendly.
  • Dates in daily[].date are UTC ISO timestamps; the human-readable table renders them as YYYY-MM-DD (UTC).
  • The CLI table labels say "Launches" / "Crashes" while JSON uses installs / failedInstalls. Same field, different display name.

Limitations

  • Unique users across platforms may double-count users who run the same publish on both iOS and Android. The same caveat applies to otaTotalUniqueUsers in channel insights, which is a sum over mostPopularUpdates.
  • Fresh publishes may show zeros for a short period while the metrics pipeline catches up.
  • Installs are downloads, not launches: the installs / "Launches" field counts users who downloaded the manifest and launch asset. A confirmed run only registers on the user's next update check (typically up to 24h later, depending on the app's update policy). So metrics lag the real-world state slightly.
  • Crashes are self-reported: failedInstalls / "Crashes" counts updates that errored during install/launch and were reported on the next update check. Crashes that don't trigger an update request (e.g. process kill before recovery) won't appear.

Submitting Feedback

If you encounter errors, misleading or outdated information in this skill, report it so Expo can improve:

bash
npx --yes submit-expo-feedback@latest --category skills --subject "eas-update-insights" "<actionable feedback>"

Only submit when you have something specific and actionable to report. Include as much relevant context as possible. If an AI agent repeatedly failed or the user had to take over an Expo task, load the expo-skill-feedback skill and follow its eval-candidate flow instead of reusing the command above.

© expo, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in plugins/expo/skills/eas-update-insights of expo/skills.

  • SKILL.md
  • agents/openai.yaml
  • references/channel-insights-schema.md
  • references/update-insights-schema.md

Open the folder on GitHubat commit d4f4840

Used in 4 other repositories

We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in expo/skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Works with

Categories

Questions about Eas Update Insights

What does Eas Update Insights do?

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. Eas Update Insights is an agent skill from expo/skills, published by the product's own GitHub organization. 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.

When should I use Eas Update Insights?

Eas Update Insights fits situations like: the user asks how an update is performing; whether a rollout is healthy; how many users are on the embedded build vs OTA; wants to gate CI on update health.

How do I install Eas Update Insights in Claude Code?

Run `npx skills add expo/skills --skill eas-update-insights -a claude-code`. Or copy the skill folder (plugins/expo/skills/eas-update-insights in expo/skills) into .claude/skills/eas-update-insights in your project. Claude Code loads it when a task matches its description.

How do I install Eas Update Insights in Codex?

Run `npx skills add expo/skills --skill eas-update-insights -a codex`. Or copy the skill folder (plugins/expo/skills/eas-update-insights in expo/skills) into .agents/skills/eas-update-insights in your project. Codex loads it when a task matches its description.

Can I use Eas Update Insights in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add expo/skills --skill eas-update-insights -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/eas-update-insights, .gemini/skills/eas-update-insights, .github/skills/eas-update-insights and .opencode/skills/eas-update-insights in your project.

What does Eas Update Insights need to run?

Going by SKILL.md and its folder, Eas Update Insights needs the command-line tools its instructions call (eas, jq, npm and npx). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Bash(eas *).

Does Eas Update Insights access the network?

SKILL.md names 1 domain. As links in the text: expo.dev. This is read from the text; nothing was executed.

Is Eas Update Insights safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Eas Update Insights use?

Eas Update Insights is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Eas Update Insights use?

About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.2k tokens, read only when the agent opens those files.

What are the alternatives to Eas Update Insights?

Skills that share tags, products or a category with Eas Update Insights: React Native Best Practices (vercel-labs/openreview, 1.7k stars), Theming (Code-with-Beto/skills, 140 stars), Expo Playground Patterns (bpinheiroms/dotfiles, 108 stars) and Uniwind (CherryHQ/cherry-studio-app, 4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Eas Update Insights?

expo (a GitHub organization, an official publisher) maintains it in expo/skills, which has 2,685 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 7, 2026.

Source: expo/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.