# SyberAgent

> SyberAgent — cyberzhang1-syberagent. Use this tool when you need to automate local tasks on a PC with multiple intelligent agents, leveraging a next-generation framework for efficient workflow management. It solves problems related to repetitive tasks, workflow automation, and multi-agent coordination, accepting inputs from various sources and outputting automated task executions. Ideal for use cases involving complex local automation, version control with git, and multi-agent systems.

Canonical page: https://skillsregistry.net/skills/cyberzhang1-syberagent  
JSON: https://api.skillsregistry.net/v1/skills/cyberzhang1-syberagent

## Description

下一代PC本地自动化多智能体框架

## Trust

- **Trust score (0–1):** 0.13
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## 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/cyberzhang1/SyberAgent)

## 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": "cyberzhang1-syberagent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cyberzhang1-syberagent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cyberzhang1-syberagent/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