# Agenvoy

> Agenvoy — agenvoy-agenvoy. Use this tool when you need to automate AI agent development and deployment, solving problems of manual tool creation and testing. Agenvoy streamlines the process by writing, sandbox-testing, and repairing its own tools, accepting inputs from Claude Code, Codex, and MCP clients, and outputting shareable tools. Ideal for use cases requiring rapid AI agent development and collaboration, with integration via git.

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

## Description

Self-hosted AI agent harness in a single Go binary — writes, sandbox-tests and repairs its own tools, and lets Claude Code, Codex and any MCP client build and share them.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/agenvoy/Agenvoy)

## 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": "agenvoy-agenvoy"
    }
  }
}
```

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