# io.github.panbanda/omen

> Use this tool when you need to analyze code complexity and identify potential issues in multi-language projects. It solves problems related to code maintainability, technical debt, and defect prediction by providing insights into hotspots, ownership, and complexity metrics. It takes in code repositories as input and outputs detailed analysis reports to inform development and maintenance decisions.

Canonical page: https://skillsregistry.net/skills/io-github-panbanda-omen  
JSON: https://api.skillsregistry.net/v1/skills/io-github-panbanda-omen

## Description

Multi-language code analysis for complexity, debt, hotspots, ownership, and defect prediction

## Trust

- **Trust score (0–1):** 0.10
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.4.6
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.panbanda%2Fomen)
- **Repository:** <https://github.com/panbanda/omen>

## 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": "io-github-panbanda-omen"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-panbanda-omen` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-panbanda-omen/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