# NDKTrace

> Use this tool when you need to analyze and symbolize Android NDK crashes, as it provides ELF BuildId verification and maps memory addresses to source locations, enabling AI-assisted crash analysis through an MCP interface. It solves problems related to crash symbolization and debugging, taking in crash stack data and outputting resolved symbols and source locations. Ideal for use in Android app development and testing contexts where crash analysis is critical.

Canonical page: https://skillsregistry.net/skills/finalscave-ndktrace  
JSON: https://api.skillsregistry.net/v1/skills/finalscave-ndktrace

## Description

Wraps a C++ command-line tool for Android NDK crash symbolization, exposing symbol resolution capabilities through an MCP interface for AI-assisted crash analysis. Provides ELF BuildId verification and maps memory addresses in crash stacks to source locations. Requires local compilation of the bundled C++ CLI.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/finalscave-ndktrace)
- **Repository:** <https://github.com/finalscave/ndktraceskills>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "finalscave-ndktrace"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/finalscave-ndktrace` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/finalscave-ndktrace/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt