# spectyn-mesh

> spectyn-mesh — markl-a-spectyn-mesh. Use this tool when you need to deploy and manage AI agents across multiple platforms, including Mac, Linux, Windows, Android, and iOS, without relying on cloud services. The spectyn-mesh tool provides a self-hostable AI agent runtime, utilizing a single Rust binary and Tailscale cluster, to simplify deployment and management. It is ideal for use cases requiring cross-platform compatibility, security, and flexibility, with git integration for version control.

Canonical page: https://skillsregistry.net/skills/markl-a-spectyn-mesh  
JSON: https://api.skillsregistry.net/v1/skills/markl-a-spectyn-mesh

## Description

Self-hostable AI agent runtime — single Rust binary, Tailscale cluster, runs across Mac/Linux/Windows/Android/iOS without a cloud account. Apache 2.0.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/markl-a/spectyn-mesh)

## 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": "markl-a-spectyn-mesh"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/markl-a-spectyn-mesh` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/markl-a-spectyn-mesh/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