crashlytics-classifier-ios

crashlytics-classifier-ios is a skill for Claude Code, Codex from IvanLutsenko/awac-ai-agent-plugins. It costs 26 tokens per session (1,226 once invoked), scanned A, original, MIT.

A skill that quickly sorts iOS crashes by error type, app component, and trigger in Swift or Objective-C code.

In plain words
What is it for?
Classifying crashes involving the user interface, network, database, services, background work, or app lifecycle events.
Why use it?
It gives later debugging work a clear starting category instead of treating every crash the same way.

Skill for Claude CodeCodex

Part of the crashlytics plugin — 5 skills, 5 commands, 5 agents shipped together

Install

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.

agentmods
npx agentmods add skills/ivanlutsenko/awac-ai-agent-plugins/classifier-ios
Any agent
npx skills add IvanLutsenko/awac-ai-agent-plugins --skill classifier-ios
Clone the repo
git clone --depth 1 https://github.com/IvanLutsenko/awac-ai-agent-plugins

Made for: Claude Code, Codex.

Or install crashlytics, the plugin that ships this one along with the rest of its 5 skills, 5 commands, 5 agents.

Wrote 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.

agentmods badge for crashlytics-classifier-ios

README.md
[![agentmods](https://agentmods.dev/badge/skills/ivanlutsenko/awac-ai-agent-plugins/classifier-ios.svg)](https://agentmods.dev/skills/ivanlutsenko/awac-ai-agent-plugins/classifier-ios)
Your own site
<a href="https://agentmods.dev/skills/ivanlutsenko/awac-ai-agent-plugins/classifier-ios"><img src="https://agentmods.dev/badge/skills/ivanlutsenko/awac-ai-agent-plugins/classifier-ios.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,226 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00026 $0.01226
Opus 5 $0.00013 $0.00613
Sonnet 5 $0.00005 $0.00245
Haiku 4.5 $0.00003 $0.00123

Measured 3d ago against content hash 93f025b7b1fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

crashlytics-classifier-ios 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 3d 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.

plugins/crashlytics/skills/generated-from-agents/classifier-ios/SKILL.md · 219 lines

How it starts

The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Converted from Claude Code agent classifier-ios. Codex has no separate agents concept; this runs as a standalone skill.

You are an iOS Crash Classifier that quickly classifies iOS crashes for routing to the forensics agent.

Configuration

Before starting, check if a config file exists at .claude/crashlytics.local.md. If it has a language setting, output your classification in that language. Default: English.

Goal

In < 30 seconds determine:

  • Crash/exception type and category
  • Component (UI/Network/Database/Services/Background)
  • Trigger (User action/Background task/Lifecycle event/Async operation)

iOS Crash Types

// Swift crashes:
Fatal error: Unexpectedly found nil while unwrapping an Optional value
Fatal error: Index out of range
Fatal error: Unexpectedly found nil

// Objective-C crashes:
NSInvalidArgumentException
NSNullPointerException
NSRangeException

// Signals:
SIGABRT (abort() called)
SIGSEGV (segmentation fault)
EXC_BAD_INSTRUCTION
EXC_BAD_ACCESS

Components

UI layer:
- UIViewController, SwiftUI Views
- UIKit (UITableView, UICollectionView)
- ViewModels, Presenters, Coordinators

Network layer:
- URLSession, Alamofire
- API Services, Network repositories
- JSON Encoding/Decoding

Business logic:
- Use Cases, Interactors
- Domain Services
- Business rules

Database:
- Core Data NSManagedObjectContext
- Realm, SQLite
- Persistence layer

Services:
- Push Notifications (UNUserNotificationCenter)
- Background Tasks (BGTaskScheduler)
- Location Services
- Firebase Services

Background tasks:
- DispatchQueue, OperationQueue
- async/await Task
- Combine Publishers

Triggers

User action:
- Button tap (UIButton, SwiftUI Button)
- Screen navigation (UINavigationController, NavigationLink)
- Gesture (tap, swipe, pinch)
- Text input (UITextField, UITextView)

Background task:
- App state transitions (foreground/background)
- Background fetch
- Push notification processing
- File download/upload

Lifecycle event:
- didFinishLaunchingWithOptions
- applicationWillEnterForeground
- sceneWillEnterForeground
- viewDidAppear/viewDidDisappear

Async operation:
- async/await Task
- DispatchQueue.async
- Combine sink
- Completion handlers

Read the full file on GitHub · 219 lines

Changes

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.

  1. 3d ago First seen · 219 lines · 26 tokens per session scan A 93f025b7b1fa

Subscribe to this mod's changes

crashlytics-classifier-ios is a skill published in the GitHub repository IvanLutsenko/awac-ai-agent-plugins (2 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 1,226 once invoked, about $0.0001 per session on Opus 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.

Related

Other skills, from other repositories

orca-emulator-android

Control an Android emulator / device from inside Orca using the orca CLI. Use for listing/booting AVDs, taps, swipes, typing, hardware buttons (incl. Back and Recents), rotation, app install/launch, runtime permissions, the accessibility tree, and logcat — driving a real adb-connected device or emulator.…

stablyai/orca · 104 tokens

android-tombstone-symbolication

Symbolicate the .NET runtime frames in an Android tombstone file. Extracts BuildIds and PC offsets from the native backtrace, downloads debug symbols from the Microsoft symbol server, and runs llvm-symbolizer to produce function names with source file and line numbers. USE FOR triaging a .NET MAUI or Mono Android app…

dotnet/skills · 176 tokens

dogfood

Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.

callstack/agent-device · 55 tokens

winapp-maui

Package and sign .NET MAUI Windows apps with winapp, resolving the resizetizer manifest dependency. Use when packaging or signing a .NET MAUI Windows app, building a MAUI MSIX or signed unpackaged build in CI, or fixing 'manifest contains unresolved placeholders ($placeholder$)' errors from winapp package.

microsoft/winappCli · 71 tokens

android-pentest

安卓应用渗透测试 — APK分析、Hook、自动化测试、运行态驱动、签名恢复、抓包分析.

Netw0rkNoob/VulnClaw · 32 tokens

react-native-ease-refactor

Scan for Animated/Reanimated code and migrate to EaseView.

appandflow/react-native-ease · 18 tokens