# Nibble

> Nibble — talia04-nibble. Use this tool when you need to investigate production incidents and troubleshoot issues, as it provides AI agents with access to service health, logs, and deployment data through MCP tools. It solves problems related to incident analysis and resolution by offering a unified interface for data inspection. Ideal for use in production environments where timely incident resolution is critical.

Canonical page: https://skillsregistry.net/skills/talia04-nibble  
JSON: https://api.skillsregistry.net/v1/skills/talia04-nibble

## Description

Enables AI agents to investigate production incidents by exposing service health, logs, and deployment data through MCP tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uujg2habc3)
- **Repository:** <https://github.com/Talia04/Nibble>

## 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": "talia04-nibble"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/talia04-nibble` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/talia04-nibble/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