# macs-console-go

> macs-console-go — deeparchi-ai-macs-console-go. Use this tool when you need to manage and control operator workflows through a versatile console interface, solving problems related to operator control and automation. It offers three modes of operation: Interactive, Headless, and Embedded, accepting inputs through CLI or Feishu and outputting controlled workflows. Ideal for use cases requiring flexible operator control, such as git workflow management.

Canonical page: https://skillsregistry.net/skills/deeparchi-ai-macs-console-go  
JSON: https://api.skillsregistry.net/v1/skills/deeparchi-ai-macs-console-go

## Description

MACS §14 Console — operator control plane. Three-mode: Interactive (Feishu), Headless (CLI), Embedded (MCP). TSO+ISPF lineage.

## Trust

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

## 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/deeparchi-ai/macs-console-go)

## 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": "deeparchi-ai-macs-console-go"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deeparchi-ai-macs-console-go` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deeparchi-ai-macs-console-go/pull`

---
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