# Digital Defiance Debugger

> Use this tool when you need to debug and optimize Node.js and TypeScript applications, solving issues like performance bottlenecks, memory leaks, and runtime errors. It provides comprehensive debugging capabilities through the Debug Adapter Protocol, accepting code inputs and producing detailed output for variable inspection, call stack navigation, and performance analysis. Ideal for use during development and testing phases to identify and resolve errors efficiently.

Canonical page: https://skillsregistry.net/skills/digital-defiance-debugger  
JSON: https://api.skillsregistry.net/v1/skills/digital-defiance-debugger

## Description

Provides comprehensive debugging capabilities for Node.js and TypeScript through the Debug Adapter Protocol. Features breakpoint management, variable inspection, call stack navigation, CPU/memory profiling, and performance analysis. Supports source maps for TypeScript debugging and includes hang detection tools.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/digital-defiance-debugger)
- **Repository:** <https://github.com/digital-defiance/mcp-debugger-server>

## 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": "digital-defiance-debugger"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/digital-defiance-debugger` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/digital-defiance-debugger/pull`

---
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