# Arbiter

> Arbiter — polaris-bit189-arbiter. Use this tool when you need to convert various file types, including video, audio, image, document, ebook, and archive, locally on a Windows system without uploading any data. It solves problems related to file compatibility and format conversion, allowing for batch conversion and document inspection. The Arbiter tool accepts local files as input and produces converted files as output, making it ideal for use cases where data privacy and security are a concern.

Canonical page: https://skillsregistry.net/skills/polaris-bit189-arbiter  
JSON: https://api.skillsregistry.net/v1/skills/polaris-bit189-arbiter

## Description

Local file converter for Windows with an MCP server — video, audio, image, document, ebook and archive in one app. Agents can inspect, batch convert and read documents; nothing is uploaded. 面向 AI agent 的本地文件转换器。

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Polaris-bit189/Arbiter)

## 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": "polaris-bit189-arbiter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/polaris-bit189-arbiter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/polaris-bit189-arbiter/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