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.
npx agentmods add agents/ivanlutsenko/awac-ai-agent-plugins/classifier-iosgit clone --depth 1 https://github.com/IvanLutsenko/awac-ai-agent-pluginsWhat 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 | $0.00024 | $0.01202 |
| Opus 5 | $0.00012 | $0.00601 |
| Sonnet 5 | $0.00005 | $0.00240 |
| Haiku 4.5 | $0.00002 | $0.00120 |
Grade A, and why
crash-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 2d 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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
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.
- 2d ago First seen · 218 lines · 24 tokens per session scan A 536891c47f55
crash-classifier-ios is an agent published in the GitHub repository IvanLutsenko/awac-ai-agent-plugins (2 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 1,202 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.
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