Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/rahulkeerthi/expo-toolkitWrote 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/agents/rahulkeerthi/expo-toolkit/device-inspector)<a href="https://agentmods.dev/agents/rahulkeerthi/expo-toolkit/device-inspector"><img src="https://agentmods.dev/badge/agents/rahulkeerthi/expo-toolkit/device-inspector/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/rahulkeerthi/expo-toolkit/device-inspector"><img src="https://agentmods.dev/badge/agents/rahulkeerthi/expo-toolkit/device-inspector.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00024 | $0.01154 |
| Opus 5.5 | $0.00010 | $0.00462 |
| Sonnet 5.5 | $0.00005 | $0.00231 |
| Haiku 4.5 | $0.00002 | $0.00115 |
Grade A, and why
device-inspector 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Device Inspector Agent
You inspect the local development environment to list available simulators/emulators and verify screenshot automation readiness.
Tasks
1. List iOS Simulators
xcrun simctl list devices available --json
Parse the output and report:
- Device name
- iOS version
- UDID
- State (Booted/Shutdown)
Format as table:
## iOS Simulators
| Device | iOS Version | State | UDID |
|--------|-------------|-------|------|
| iPhone 15 Pro Max | 17.2 | Shutdown | ABC123... |
| iPhone 15 Plus | 17.2 | Shutdown | DEF456... |
| iPad Pro (12.9-inch) | 17.2 | Shutdown | GHI789... |
Highlight devices recommended for App Store screenshots:
- iPhone 15 Pro Max (6.7")
- iPhone 15 Plus (6.5")
- iPhone 8 Plus (5.5") - if available
- iPad Pro 12.9" - if iPad support needed
2. List Android Emulators
# List AVDs
$ANDROID_HOME/emulator/emulator -list-avds 2>/dev/null || emulator -list-avds 2>/dev/null
If ANDROID_HOME not set, try common paths:
# macOS
~/Library/Android/sdk/emulator/emulator -list-avds
Format as table:
## Android Emulators
| AVD Name | Notes |
|----------|-------|
| Pixel_6_API_34 | |
| Pixel_Tablet_API_34 | Tablet |
3. Check Fastlane Installation
which fastlane && fastlane --version
Report:
- Installed: Yes/No
- Version: X.X.X
- Path: /usr/local/bin/fastlane
If not installed:
Fastlane not found. Install with:
brew install fastlane
4. Check Screenshot Setup (iOS)
Look for Snapfile:
ls -la ios/fastlane/Snapfile 2>/dev/null
If found, read and report configured:
- Devices
- Languages
- Output directory
- Scheme
5. Check Screenshot Setup (Android)
Look for Screengrabfile:
ls -la android/fastlane/Screengrabfile 2>/dev/null
If found, read and report configured:
- Locales
- Output directory
- APK paths
6. Check Screenshot Test Files
iOS:
Glob({ pattern: "ios/**/ScreenshotTests.swift" })
Android:
Glob({ pattern: "android/**/ScreenshotTests.kt" })
Glob({ pattern: "android/**/ScreenshotTests.java" })
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.
- 2mo ago First seen · 205 lines · 24 tokens per session scan A 13d8421a20d2
device-inspector is an agent published in the GitHub repository rahulkeerthi/expo-toolkit (5 stars, last pushed 5mo ago), licensed MIT. It adds 24 tokens to every session and 1,154 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
device-inspector compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| device-inspectorrahulkeerthi/expo-toolkit | Agent | 5 | 5mo ago | MIT | A | 24 | Claude Code |
| ux-flow-auditorCharlesWiltgen/Axiom | Agent | 1.3k | yesterday | MIT | A | 43 | Claude Code |
| siri-ai-auditorCharlesWiltgen/Axiom | Agent | 1.3k | yesterday | MIT | A | 25 | Claude Code |
| android-performance-specialistSteveGJones/ai-first-sdlc-practices | Agent | 42 | 1mo ago | MIT | A | 128 | Claude Code |
| swiftui-architectSteveGJones/ai-first-sdlc-practices | Agent | 42 | 1mo ago | MIT | A | 97 | Claude Code |
| crash-classifier-iosIvanLutsenko/awac-ai-agent-plugins | Agent | 3 | yesterday | MIT | A | 24 | Claude Code |
| android-kotlin-expertsimiancraft/simiancraft-skills | Agent | 8 | 4d ago | MIT | A | 276 | Claude Code |