# BATON

> BATON — vinsenzo83-baton. Use this tool when you need to seamlessly connect and transfer AI session contexts across different models, machines, and users. BATON solves the problem of fragmented AI sessions by enabling relay, handoff, and verification of session contexts through a unified code. It provides a flexible interface for inputs and outputs, allowing for effortless integration and context sharing across various AI applications and stakeholders.

Canonical page: https://skillsregistry.net/skills/vinsenzo83-baton  
JSON: https://api.skillsregistry.net/v1/skills/vinsenzo83-baton

## Description

Connect any AI session to any other across models, machines, and people with one code. Enables relay, handoff, and verification of session contexts.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dh4mjmd0lo)
- **Repository:** <https://github.com/vinsenzo83/baton>

## 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": "vinsenzo83-baton"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vinsenzo83-baton` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vinsenzo83-baton/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