Install
$ agentstack add skill-eronred-aso-skills-crash-analytics ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Crash Analytics
You help triage, prioritize, and reduce app crashes — and understand how crash rate affects App Store discoverability and ratings.
Why Crash Rate Is an ASO Signal
- App Store ranking — Apple's algorithm penalizes apps with high crash rates
- App Store featuring — High crash rate disqualifies editorial consideration
- Ratings — Crashes are the #1 cause of 1-star reviews
- Retention — A crash in the first session destroys Day 1 retention
Target: crash-free sessions > 99.5% | crash-free users > 99%
Tools
| Tool | What it provides | Setup | |------|-----------------|-------| | Firebase Crashlytics | Real-time crashes, ANRs, symbolicated stack traces | Add FirebaseCrashlytics pod/SPM package | | App Store Connect | Crash rate trend, crashes per session | Built-in, no code needed | | Xcode Organizer | Aggregated crash logs from TestFlight + App Store | Xcode → Window → Organizer → Crashes | | MetricKit | On-device diagnostics, hang rate, launch time | iOS 13+, automatic |
Recommended: Crashlytics (real-time alerts + search) + App Store Connect (trend validation)
Crashlytics Setup
iOS (Swift)
// AppDelegate or @main App struct
import FirebaseCore
import FirebaseCrashlytics
@main
struct MyApp: App {
init() {
FirebaseApp.configure()
// Crashlytics is auto-initialized
}
}
Non-fatal errors (track without crashing)
// Log a non-fatal error
Crashlytics.crashlytics().record(error: error)
// Log a custom key for debugging context
Crashlytics.crashlytics().setCustomValue(userId, forKey: "user_id")
Crashlytics.crashlytics().setCustomValue(screenName, forKey: "current_screen")
Android (Kotlin)
// build.gradle (app)
implementation("com.google.firebase:firebase-crashlytics:18.x.x")
// No additional code needed — auto-captures unhandled exceptions
// For non-fatal:
FirebaseCrashlytics.getInstance().recordException(throwable)
Triage Framework
Not all crashes are equal. Prioritize by impact:
Priority Score = Crash Frequency × Affected Users × User Segment Weight
| Priority | Criteria | Response time | |----------|---------|---------------| | P0 — Critical | Crashes on launch / checkout / core feature; >1% of sessions | Fix today | | P1 — High | Crashes in common flows; >0.1% of sessions | Fix this release | | P2 — Medium | Edge case crashes; 0.5% of users
Reading a Crash Report
Fatal Exception: com.example.NullPointerException
at com.example.UserProfileVC.loadData:87
at com.example.HomeVC.viewDidLoad:45
Keys:
user_id: 12345
current_screen: "home"
app_version: "2.3.1"
os_version: "iOS 17.3"
Steps to debug:
- Open the file and line in Xcode (
UserProfileVC.swift:87) - Check what can be nil at that point
- Reproduce with the user context (OS version, device, screen)
- Write a failing test before fixing
Symbolication
Crashlytics auto-symbolicates if you upload dSYMs. If you see unsymbolicated traces:
# Manually upload dSYMs
./Pods/FirebaseCrashlytics/upload-symbols -gsp GoogleService-Info.plist -p ios MyApp.app.dSYM
For Bitcode-enabled builds, download dSYMs from App Store Connect → Activity → Build → dSYMs.
App Store Connect Crash Data
- App Store Connect → App Analytics → Crashes — Crash rate trend per version
- Compare crash rate before and after each release
- A spike on a specific version = regression in that release
Crash rate formula: Crashes / Sessions × 100
Release Strategy to Minimize Blast Radius
Use phased releases to catch crashes before full rollout:
iOS: App Store Connect → Version → Phased Release (7-day rollout: 1% → 2% → 5% → 10% → 20% → 50% → 100%)
Android: Play Console → Production → Managed publishing → Rollout percentage
Rule: Monitor Crashlytics for 24 hours at each phase. If crash rate increases >0.2%, pause rollout.
Responding to Crash-Driven 1-Star Reviews
- Identify the app version where crash-related 1-stars appeared
- Fix the crash
- Reply to each crash-related review: "Fixed in version X.X — please update"
- After update ships, use
rating-prompt-strategyto recover rating
Output Format
Crash Audit Report
Stability Report — [App Name] v[version] ([period])
Crash-free sessions: [X]% (target: >99.5%)
Crash-free users: [X]% (target: >99%)
Top crash issues:
P0 Issues (fix immediately):
#1 [Exception type] — [X] users, [X]% of sessions
File: [filename:line]
Cause: [hypothesis]
Fix: [specific action]
P1 Issues (this release):
#2 [Exception type] — [X] users, [X]% of sessions
...
Action Plan:
Today: Fix P0 issue #1 → release hotfix
This week: Fix P1 issues #2, #3 → include in v[X.X]
Monitoring: Set velocity alert at 0.5% session threshold
Related Skills
app-analytics— Full analytics stack; Crashlytics is one piecerating-prompt-strategy— Recover rating after fixing crash-driven 1-starsreview-management— Respond to crash-related reviewsretention-optimization— Crashes on Day 1 destroy retention metricsapp-store-featured— Crash rate > 2% disqualifies editorial featuring
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Eronred
- Source: Eronred/aso-skills
- License: MIT
- Homepage: https://appeeky.com/
Install and usage instructions live in the source repository linked above.
Reviews
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Versions
- v0.1.0 Imported from the upstream source.