# agent-hub

> agent-hub — dinstein-agent-hub. Use this tool when you need to manage multiple AI agents with a unified configuration and credential set, streamlining access to various models like Claude Code, Cursor, and Codex. It solves the problem of duplicated effort and disorganized setups by providing a single, local-first hub with zero telemetry. Ideal for developers working with multiple AI models, agent-hub simplifies workflows by sharing a single MCP endpoint and git integration.

Canonical page: https://skillsregistry.net/skills/dinstein-agent-hub  
JSON: https://api.skillsregistry.net/v1/skills/dinstein-agent-hub

## Description

One config, one credential set, one MCP endpoint — shared by Claude Code, Cursor, Codex and 9 more. Local-first, zero telemetry.

## 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:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/dinstein/agent-hub)

## 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": "dinstein-agent-hub"
    }
  }
}
```

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