# dunetrace

> dunetrace — dunetrace-dunetrace. Use this tool when you need to monitor production agents in real-time without transmitting raw content. It solves issues related to performance tracking, error detection, and system optimization, providing valuable insights into agent activity. Ideal for use cases where secure and efficient monitoring is crucial, with integration capabilities via git.

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

## Description

The runtime reliability layer for AI agents.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/dunetrace/dunetrace)

## 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": "dunetrace-dunetrace"
    }
  }
}
```

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