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Android Tombstone Symbolication

OrganizationPopular
dotnet
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 crash from a tombstone, resolving native backtrace frames in libmonosgen-2.0.so or libcoreclr.so to .NET runtime source code, or investigating SIGABRT, SIGSEGV, or other native signals originating from the .NET runtime on Android. DO NOT USE FOR pure Java/Kotlin crashes, managed .NET exceptions that are already captured in logcat, or iOS crash logs. INVOKES Symbolicate-Tombstone.ps1 script, llvm-symbolizer, Microsoft symbol server.

Overview

Publisherdotnet
Repositoryskills
Skill nameandroid-tombstone-symbolication
Stars
5.4K
Forks
416
Bundled files
1
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.

  • 1 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 Android Tombstone 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/android-tombstone-symbolication .claude/skills/android-tombstone-symbolication
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Android Tombstone 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 Android Tombstone 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 Android Tombstone 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.

Android Tombstone .NET Symbolication

Resolves native backtrace frames from .NET Android app crashes (MAUI, Xamarin, Mono) to function names, source files, and line numbers using ELF BuildIds and Microsoft's symbol server.

Inputs: Tombstone file or logcat crash output, llvm-symbolizer (from Android NDK or any LLVM 14+ toolchain), internet access for symbol downloads.

Do not use when: The crash is a managed .NET exception (visible in logcat with a managed stack trace), the crashing library is not a .NET component (e.g., libart.so), or the tombstone is from iOS.


Workflow

Step 1: Parse the Tombstone Backtrace

Each backtrace frame has this format:

#NN pc OFFSET  /path/to/library.so (optional_symbol+0xNN) (BuildId: HEXSTRING)

Extract: frame number, PC offset (hex, already library-relative), library name, and BuildId (32–40 hex chars).

Symbolicate all threads by default (background threads like GC/finalizer often have useful .NET frames). The crashing thread's backtrace is listed first; additional threads appear after --- --- --- markers.

Format notes:

  • The script auto-detects #NN pc frame lines with or without a backtrace: header, and strips logcat timestamp/tag prefixes automatically.
  • Logcat-captured tombstones often omit BuildIds. Recover via adb shell readelf -n, CI build artifacts, or the .NET runtime NuGet package.
  • GitHub issue pastes may mangle #1 pc into issue links — replace org/repo#N pc with #N pc before saving to a file.
  • If the script fails to parse a format, fall back to manual extraction of #NN pc OFFSET library.so (BuildId: HEX) tuples.

Step 2: Identify .NET Runtime Libraries

Filter frames to .NET runtime libraries:

LibraryRuntime
libmonosgen-2.0.soMono (MAUI, Xamarin, interpreter)
libcoreclr.soCoreCLR (JIT mode)
libSystem.*.so.NET BCL native components (Native, Globalization.Native, IO.Compression.Native, Security.Cryptography.Native.OpenSsl, Net.Security.Native)

NativeAOT: No libcoreclr.so or libmonosgen-2.0.so — the runtime is statically linked into the app binary (e.g., libMyApp.so). The libSystem.*.so BCL libraries remain separate and can be symbolicated via the symbol server. For the app binary itself, you need the app's own debug symbols.

Skip libc.so, libart.so, and other Android system libraries unless the user specifically asks.

Step 3: Download Debug Symbols

For each unique .NET BuildId, download debug symbols:

https://msdl.microsoft.com/download/symbols/_.debug/elf-buildid-sym-<BUILDID>/_.debug
bash
curl -sL "https://msdl.microsoft.com/download/symbols/_.debug/elf-buildid-sym-1eb39fc72918c7c6c0c610b79eb3d3d47b2f81be/_.debug" \
  -o libmonosgen-2.0.so.debug

Verify with file libmonosgen-2.0.so.debug — should show ELF 64-bit ... with debug_info, not stripped. If the download returns 404 or HTML, symbols are not published for that build. Do not add or subtract library base addresses — offsets in tombstones are already library-relative.

Step 4: Symbolicate Each Frame

bash
llvm-symbolizer --obj=libmonosgen-2.0.so.debug -f -C 0x222098

Output:

ves_icall_System_Environment_FailFast
/__w/1/s/src/runtime/src/mono/mono/metadata/icall.c:6244

The /__w/1/s/ prefix is the CI workspace root — the meaningful path starts at src/runtime/, mapping to dotnet/dotnet VMR.

Step 5: Present the Symbolicated Backtrace

Combine original frame numbers with resolved function names and source locations:

#00  libc.so              abort+164
#01  libmonosgen-2.0.so   ves_icall_System_Environment_FailFast        (mono/metadata/icall.c:6244)
#02  libmonosgen-2.0.so   do_icall                                     (mono/mini/interp.c:2457)
#03  libmonosgen-2.0.so   mono_interp_exec_method                      (mono/mini/interp.c)

For unresolved frames (??), keep the original line with BuildId and PC offset.

Automation Script

scripts/Symbolicate-Tombstone.ps1 automates the full workflow:

powershell
pwsh scripts/Symbolicate-Tombstone.ps1 -TombstoneFile tombstone_01.txt -LlvmSymbolizer llvm-symbolizer

Flags: -CrashingThreadOnly (limit to crashing thread), -OutputFile path (write to file), -ParseOnly (report libraries/BuildIds/URLs without downloading), -SkipVersionLookup (skip runtime version identification).


Finding llvm-symbolizer

Check the Android NDK first: $ANDROID_NDK_ROOT/toolchains/llvm/prebuilt/*/bin/llvm-symbolizer or $ANDROID_HOME/ndk/*/toolchains/llvm/prebuilt/*/bin/llvm-symbolizer. Also available via brew install llvm, apt install llvm, or xcrun --find llvm-symbolizer on macOS.

If unavailable, complete steps 1–3 and present the download commands and llvm-symbolizer commands for the user to run. Do not spend time installing LLVM.


Understanding the Output

CI source paths use these prefixes:

Path prefixMaps to
/__w/1/s/src/runtime/src/runtime/ in dotnet/dotnet VMR
/__w/1/s/src/mono/src/mono/ in the VMR (older builds)
/__w/1/s/VMR root

Runtime Version Identification

The script identifies the exact .NET runtime version by matching BuildIds against locally-installed runtime packs. It searches: SDK packs ($DOTNET_ROOT/packs/), NuGet cache (~/.nuget/packages/), and NuGet.org as an online fallback. When found, it extracts the version and source commit from the .nuspec <repository commit="..." /> element. Pass -SkipVersionLookup to disable. Requires llvm-readelf (auto-discovered from the NDK).


Validation

  1. file <debug-file> shows ELF ... with debug_info, not stripped
  2. At least one .NET frame resolves to a function name (not ??)
  3. Resolved paths contain recognizable .NET runtime structure (e.g., mono/metadata/, mono/mini/)

Stop Signals

  • No .NET frames found: Report parsed frames and stop.
  • All frames resolved: Present symbolicated backtrace. Do not trace into source or attempt to build/debug the runtime.
  • Symbols not available (404): One attempt per BuildId, then stop. Report unsymbolicated frames with BuildIds and offsets.
  • llvm-symbolizer not available: Use -ParseOnly, present manual commands. Do not install LLVM.

Common Pitfalls

  • Missing BuildIds: Logcat tombstones often omit BuildIds. Recover via: adb shell readelf -n /path/to/lib.so, CI build artifacts, or the runtime NuGet package (~/.dotnet/packs/Microsoft.NETCore.App.Runtime.Mono.android-arm64/<version>/). Prefer pulling raw tombstone files (adb shell cat /data/tombstones/tombstone_XX) which always include BuildIds.
  • Symbols not found (404): Pre-release/internal builds may not publish symbols. Check for local unstripped .so/.so.dbg in build artifacts or the NuGet runtime pack.
  • NativeAOT: No runtime .so in the tombstone — runtime is in the app binary. libSystem.*.so BCL libraries still work with the symbol server; the app binary needs its own debug symbols.
  • Wrong llvm-symbolizer version: Use LLVM 14+ for best DWARF compatibility.
  • Multiple BuildIds: Each .NET library has its own BuildId — download symbols for each separately.

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 Android Tombstone Symbolication AI skill do?

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 crash from a tombstone, resolving native backtrace frames in libmonosgen-2.0.so or libcoreclr.so to .NET runtime source code, or investigating SIGABRT, SIGSEGV, or other native signals originating from the .NET runtime on Android. DO NOT USE FOR pure Java/Kotlin crashes, manage...

Why use Android Tombstone Symbolication on TypingMind?

Because you install it once and use it with any model. Android Tombstone 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 Android Tombstone Symbolication in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dotnet/skills/tree/main/plugins/dotnet-diag/skills/android-tombstone-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 Android Tombstone 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 Android Tombstone Symbolication?

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

Is the Android Tombstone 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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