# agent-herder

> agent-herder — megamen32-agent-herder. Use this tool when you need to monitor and control multiple coding agents across different platforms, such as OpenCode, Claude Code, and Codex CLI. The agent-herder provides a unified interface to manage these agents, solving problems of fragmented control and inconsistent workflows. It accepts inputs from various coding agents and outputs unified monitoring and control data, ideal for use cases requiring centralized management of coding tasks.

Canonical page: https://skillsregistry.net/skills/megamen32-agent-herder  
JSON: https://api.skillsregistry.net/v1/skills/megamen32-agent-herder

## Description

Unified MCP interface to monitor and control coding agents across OpenCode, Claude Code, and Codex CLI.

## Trust

- **Trust score (0–1):** 0.48
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kjxc61snjq)
- **Repository:** <https://github.com/megamen32/agent-herder>

## 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": "megamen32-agent-herder"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/megamen32-agent-herder` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/megamen32-agent-herder/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