# bifrost

> bifrost — brokkai-bifrost. Use this tool when you need to analyze large codebases across multiple languages and repositories, as it provides multi-language static analysis for identifying issues and improving code quality. Bifrost solves problems related to code maintenance, security, and compliance, and accepts git repositories as input, producing detailed analysis reports as output. It is particularly useful in contexts where managing complex, multi-language codebases is a challenge.

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

## Description

Multi-language static analysis for agents, editors, and large repositories.

## Trust

- **Trust score (0–1):** 0.53
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

## 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": "brokkai-bifrost"
    }
  }
}
```

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