# fabric-aiops

> fabric-aiops — aiops-tools-fabric-aiops. Use this tool when you need to manage and govern network controller-layer operations, troubleshoot uplink loss and latency, and ensure fleet health and configuration integrity. It solves problems related to network performance, configuration drift, and audit logging, providing inputs such as network device data and outputs like health scores and RCA reports. Ideal for use in complex network environments requiring automated monitoring, auditing, and rollback capabilities.

Canonical page: https://skillsregistry.net/skills/aiops-tools-fabric-aiops  
JSON: https://api.skillsregistry.net/v1/skills/aiops-tools-fabric-aiops

## Description

Governed network controller-layer operations (Cisco Meraki, plus Catalyst Center / Arista CVP / UniFi) — uplink loss/latency RCA, fleet health scoring, and  config-template drift, with unbypassable audit logging (MCP + CLI), budget/runaway guards, and rollback.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gtcsrde2os)
- **Repository:** <https://github.com/AIops-tools/Fabric-AIops>

## 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": "aiops-tools-fabric-aiops"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aiops-tools-fabric-aiops` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aiops-tools-fabric-aiops/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