# agent-republic

> agent-republic — gogo6969-agent-republic. Use this tool when you need to navigate the intersection of artificial intelligence and human collaboration, as it provides a comprehensive guide for both agents and humans to work together effectively in the Agent Republic framework. This tool solves problems related to AI-human interaction, communication, and cooperation, offering a user-friendly interface for inputs such as queries and outputs such as actionable insights. It is particularly useful in contexts where seamless agent-human collaboration is crucial for achieving shared goals and objectives.

Canonical page: https://skillsregistry.net/skills/gogo6969-agent-republic  
JSON: https://api.skillsregistry.net/v1/skills/gogo6969-agent-republic

## Description

Agent + human friendly guide to Agent Republic.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/gogo6969-agent-republic)

## 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": "gogo6969-agent-republic"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gogo6969-agent-republic` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gogo6969-agent-republic/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