# aiNOC

> aiNOC — pdudotdev-ainoc. Use this tool when you need to troubleshoot complex enterprise networks with multiple vendors, protocols, and areas. aiNOC solves network issues by providing a multi-faceted framework that integrates various technologies, including Claude Code, Scrapli, and RESTCONF, to identify and resolve problems. It accepts network data as input and outputs actionable insights, making it ideal for use cases where quick and efficient network troubleshooting is crucial.

Canonical page: https://skillsregistry.net/skills/pdudotdev-ainoc  
JSON: https://api.skillsregistry.net/v1/skills/pdudotdev-ainoc

## Description

aiNOC: Network troubleshooting framework for multi-vendor, multi-protocol, multi-area enterprise networks based on Claude Code, FastMCP, Python, Scrapli, RESTCONF, Containerlab, Jira, etc.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** GPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pdudotdev/aiNOC)

## 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": "pdudotdev-ainoc"
    }
  }
}
```

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