# detrix

> Use this tool when you need to debug complex applications without modifying code or disrupting workflows. Detrix allows you to set observation points to capture variable values in Python, Go, and Rust, supporting local and cloud environments, including Docker containers and remote hosts. It provides a seamless debugging experience, enabling efficient issue resolution without pausing or restarting applications.

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

## Description

Detrix is an agentic debugger.
Watch any variable at any line, zero code changes during debugging
Local or cloud - same workflow for Docker containers and remote hosts
Python, Go, Rust - observation points capture values without pausing, without restarting

## Trust

- **Trust score (0–1):** 0.29
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p4bffqgh72)
- **Repository:** <https://github.com/flashus/detrix>

## 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": "flashus-detrix"
    }
  }
}
```

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