# Mabel-s-Tentacles

> Mabel-s-Tentacles — reisentyann-mabel-s-tentacles. Use this tool when you need to manage file descriptions and lifecycle management in a deterministic manner, particularly for AI agents interacting with a Go MCP server. It solves problems related to data consistency and organization, providing field indexing for efficient data retrieval. Ideal for use cases involving version control through git, where reliable file management is crucial.

Canonical page: https://skillsregistry.net/skills/reisentyann-mabel-s-tentacles  
JSON: https://api.skillsregistry.net/v1/skills/reisentyann-mabel-s-tentacles

## Description

Go MCP server for AI agents: deterministic file description, field indexing and lifecycle management

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Reisentyann/Mabel-s-Tentacles)

## 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": "reisentyann-mabel-s-tentacles"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/reisentyann-mabel-s-tentacles` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/reisentyann-mabel-s-tentacles/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