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Apple Crash Symbolication

OrganizationPopular
dotnet
apple-crash-symbolication

Symbolicate .NET runtime frames in Apple platform .ips crash logs (iOS, tvOS, Mac Catalyst, macOS). Extracts UUIDs and addresses from the native backtrace, locates dSYM debug symbols, and runs atos to produce function names with source file and line numbers. Automatically downloads .dwarf symbols from the Microsoft symbol server using Mach-O UUIDs. USE FOR triaging a .NET MAUI or Mono app crash from an .ips file on any Apple platform, resolving native backtrace frames in libcoreclr or libmonosgen-2.0 to .NET runtime source code, retrieving .ips crash logs from a connected iOS device or iPhone, or investigating EXC_CRASH, EXC_BAD_ACCESS, SIGABRT, or SIGSEGV originating from the .NET runtime. DO NOT USE FOR pure Swift/Objective-C crashes with no .NET components, or Android tombstone files. INVOKES Symbolicate-Crash.ps1 script, atos, dwarfdump, idevicecrashreport.

Overview

Publisherdotnet
Repositoryskills
Skill nameapple-crash-symbolication
Stars
5.4K
Forks
416
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by dotnet on GitHub. Read the source before you install it.

Installation

Install the Apple Crash Symbolication AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dotnet/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/dotnet-diag/skills/apple-crash-symbolication .claude/skills/apple-crash-symbolication
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Apple Crash Symbolication in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Apple Crash Symbolication on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Apple Crash Symbolication is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Apple Platform Crash Log .NET Symbolication

Resolves native backtrace frames from .NET MAUI and Mono app crashes on Apple platforms (iOS, tvOS, Mac Catalyst, macOS) to function names, source files, and line numbers using Mach-O UUIDs and dSYM debug symbol bundles.

Inputs: Crash log file (.ips JSON format, iOS 15+ / macOS 12+), atos (from Xcode), optionally a connected iOS device to pull crash logs from.

Do not use when: The crashing library is not a .NET component (e.g., pure Swift/UIKit), or the crash log is an Android tombstone.


Workflow

Step 1: Parse the .ips Crash Log

Format check: Before proceeding, verify the file is .ips JSON format. The first line must be valid JSON. If the file is plain text (e.g., Android tombstone with #NN pc frame lines, or legacy Apple .crash text format), stop immediately — this workflow does not apply. Report the format mismatch to the user and do not attempt any symbolication.

The .ips file is two-part JSON: line 1 is a metadata header; the remaining lines are a separate JSON crash body. Parse them separately:

python
lines = open('crash.ips').readlines()
metadata = json.loads(lines[0])           # app_name, bundleID, os_version, slice_uuid
crash    = json.loads(''.join(lines[1:])) # Full crash report

Key fields in the crash body:

  • usedImages[N] has name, base (load address), uuid, arch for each loaded binary
  • threads[N].frames[M] has imageOffset, imageIndex; frame address = usedImages[imageIndex].base + imageOffset
  • exception.type, exception.signal (e.g., EXC_CRASH / SIGABRT)
  • asi (Application Specific Information) often contains the managed exception message
  • lastExceptionBacktrace has frames from the exception that triggered the crash
  • faultingThread is the index into the threads array

Parsing gotcha: Some .ips files have case-conflicting duplicate keys (vmRegionInfo / vmregioninfo). Pre-process the raw JSON to rename the lowercase duplicate before parsing. The asi field may be absent.

Step 2: Identify .NET Runtime Libraries

Filter usedImages to .NET runtime libraries:

LibraryRuntime
libcoreclrCoreCLR runtime
libmonosgen-2.0Mono runtime
libSystem.Native.NET BCL native component
libSystem.Globalization.Native.NET BCL globalization
libSystem.Security.Cryptography.Native.Apple.NET BCL crypto
libSystem.IO.Compression.Native.NET BCL compression
libSystem.Net.Security.Native.NET BCL net security

On Apple platforms these ship as .framework bundles, so image names may omit .dylib. Match using substring (e.g., libcoreclr not libcoreclr.dylib). The app binary may appear twice in usedImages with different UUIDs.

Key bridge functions in the app binary: xamarin_process_managed_exception (managed exception bridged to ObjC NSException), xamarin_main, mono_jit_exec, coreclr_execute_assembly.

NativeAOT: Runtime is statically linked into the app binary. libSystem.* BCL libraries remain separate. The app binary needs its own dSYM from the build output.

Skip libsystem_kernel.dylib, UIKitCore, and other Apple system frameworks unless specifically asked.

Step 3: Interpret the Crash

Start with asi (Application Specific Information) — for .NET crashes, it often contains the managed exception type and message (e.g., XamlParseException, NullReferenceException). The root cause may already be visible here.

Then examine the faulting thread (threads[faultingThread]). Explain what frames #0 and #1 mean before examining other threads. Cross-thread context (GC state, thread pool) is useful for validation but not evidence of causation.

Also check lastExceptionBacktrace for the managed exception path through bridge functions like xamarin_process_managed_exception.

Sometimes the .NET runtime version is visible in image paths in usedImages, particularly on macOS when using shared-framework installs or NuGet-pack-style layouts (e.g., .../Microsoft.NETCore.App/10.0.4/libcoreclr.dylib). On iOS, however, image paths are typically inside the app bundle (for example, .../Frameworks/libcoreclr.framework/libcoreclr) and do not embed the runtime version, so you usually need to infer it via the Mach-O UUID by matching against SDK packs or symbol-server downloads rather than relying on the path alone.

Step 4: Locate dSYMs

For each .NET library needing symbolication, locate a UUID-matched dSYM:

  1. Microsoft symbol server (automatic): Download .dwarf via https://msdl.microsoft.com/download/symbols/_.dwarf/mach-uuid-sym-{UUID}/_.dwarf (UUID lowercase, no dashes). Convert to .dSYM bundle (use the image name from usedImages[].name, e.g., libcoreclr):
    bash
    mkdir -p libcoreclr.dSYM/Contents/Resources/DWARF
    cp _.dwarf libcoreclr.dSYM/Contents/Resources/DWARF/libcoreclr
  2. Build output: bin/Debug/net*-ios/ios-arm64/<App>.app.dSYM/
  3. SDK packs: $DOTNET_ROOT/packs/Microsoft.NETCore.App.Runtime.<rid>/<version>/runtimes/<rid>/native/
  4. NuGet cache: ~/.nuget/packages/microsoft.netcore.app.runtime.<rid>/<version>/runtimes/<rid>/native/
  5. dotnet-symbol: dotnet-symbol --symbols -o symbols-out <path-to-binary.dylib>

Always verify: dwarfdump --uuid <dsym> must match the UUID from the crash log exactly.

Step 5: Symbolicate with atos

bash
atos -arch arm64 -o <path.dSYM/Contents/Resources/DWARF/binary_name> -l <load_address> <frame_addresses...>
  • -o points to the DWARF binary inside the .dSYM bundle (Contents/Resources/DWARF/), not the bundle itself
  • -l is the load address from usedImages[N].base
  • Use the arch from usedImages[N].arch (usually arm64, may be arm64e)
  • Pass multiple addresses per invocation for batch symbolication
bash
# Example: symbolicate libcoreclr frames
atos -arch arm64 -o libcoreclr.dSYM/Contents/Resources/DWARF/libcoreclr -l 0x104000000 0x104522098 0x1043c0014

Strip the /__w/1/s/ CI workspace prefix from output — meaningful paths start at src/runtime/, mapping to the dotnet/dotnet VMR.

Automation Script

scripts/Symbolicate-Crash.ps1 automates the full workflow (parsing, dSYM lookup, symbol download, and symbolication). Resolve the path relative to this SKILL.md file.

powershell
# $SKILL_DIR is the directory containing this SKILL.md
pwsh "$SKILL_DIR/scripts/Symbolicate-Crash.ps1" -CrashFile MyApp-2026-02-25.ips

Start with -ParseOnly for a fast overview without requiring atos. The script automatically downloads symbols from the Microsoft symbol server when local dSYMs are missing.

Flags: -CrashingThreadOnly, -OutputFile path, -ParseOnly, -SkipVersionLookup, -SkipSymbolDownload, -SymbolCacheDir path, -DsymSearchPaths path1,path2.


Retrieving Crash Logs

Pull crash logs from a connected iOS device using idevicecrashreport (from libimobiledevice):

bash
idevicecrashreport -e /tmp/crashlogs/
find /tmp/crashlogs/ -iname '*MyApp*' -name '*.ips'

Also available in Xcode > Window > Devices and Simulators > View Device Logs, or at ~/Library/Logs/CrashReporter/ (Mac Catalyst), ~/Library/Logs/DiagnosticReports/ (macOS).


Validation

  1. dwarfdump --uuid <dsym> matches UUID from the crash log
  2. At least one .NET frame resolves to a function name (not a raw address)
  3. Resolved paths contain recognizable .NET runtime structure (e.g., src/coreclr/, mono/metadata/, mono/mini/)

Stop Signals

  • Wrong file format: If the file is not .ips JSON (e.g., Android tombstone with #NN pc stack frames, legacy .crash text format), stop immediately — report the format mismatch to the user and do not proceed with any symbolication. Do not attempt to symbolicate using other tools or workflows.
  • No .NET frames found: Report parsed frames and stop.
  • All frames resolved: Present symbolicated backtrace with brief crash analysis (faulting thread, exception type, likely area). If the user asks for deeper investigation, proceed.
  • dSYM not available / UUID mismatch: Report unsymbolicated frames with UUIDs and addresses. Suggest locating the original build artifacts.
  • atos not available: Present the manual atos commands for the user to run. Do not install Xcode. atos ships with Xcode Command Line Tools (xcode-select --install).

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Apple Crash Symbolication AI skill do?

Symbolicate .NET runtime frames in Apple platform .ips crash logs (iOS, tvOS, Mac Catalyst, macOS). Extracts UUIDs and addresses from the native backtrace, locates dSYM debug symbols, and runs atos to produce function names with source file and line numbers. Automatically downloads .dwarf symbols from the Microsoft symbol server using Mach-O UUIDs. USE FOR triaging a .NET MAUI or Mono app crash from an .ips file on any Apple platform, resolving native backtrace frames in libcoreclr or libmonosgen-2.0 to .NET runtime source code, retrieving .ips crash logs from a connected iOS device or iPho...

Why use Apple Crash Symbolication on TypingMind?

Because you install it once and use it with any model. Apple Crash Symbolication is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Apple Crash Symbolication in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dotnet/skills/tree/main/plugins/dotnet-diag/skills/apple-crash-symbolication. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Apple Crash Symbolication?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Apple Crash Symbolication?

As many as you like. As long as a model supports skills, you can use Apple Crash Symbolication with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Apple Crash Symbolication AI skill free?

Yes. It is published on GitHub by dotnet under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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