Borrowing it
Nothing to install: this file belongs to emilyLi2020/WAVE. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/emilyLi2020/WAVE/main/.agents/skills/eas-update-insights/SKILL.mdgit clone --depth 1 https://github.com/emilyLi2020/WAVEWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/emilyli2020/wave/eas-update-insights)<a href="https://agentmods.dev/skills/emilyli2020/wave/eas-update-insights"><img src="https://agentmods.dev/badge/skills/emilyli2020/wave/eas-update-insights.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00077 | $0.02857 |
| Opus 5 | $0.00039 | $0.01429 |
| Sonnet 5 | $0.00015 | $0.00571 |
| Haiku 4.5 | $0.00008 | $0.00286 |
Grade A, and why
eas-update-insights 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 7d 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.
This is a copy
89% identical to eas-update-insights — 13 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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-cliinstalled (npm install -g eas-cli).- Logged in:
eas login. - For
channel:insights: run from an Expo project directory (the command resolves the project ID fromapp.json).update:insightsonly 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.
What ships with it
2 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.
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.
- 7d ago First seen · 230 lines · 77 tokens per session scan A 72fcca0bc7b9
eas-update-insights is a skill published in the GitHub repository emilyLi2020/WAVE (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 77 tokens to every session and 2,857 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to eas-update-insights, differing in 13 lines, and is treated as a copy.
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