# M5 Petit Relations

> M5 Petit Relations — petitones-m5-petit-relations. Use this tool when you need to manage complex character relationships in a multi-character system, enabling you to read and update private and public relationship data such as likes, dislikes, and feelings. It solves problems related to tracking character interactions, emotions, and connections, providing a centralized interface for relationship management. With inputs for character IDs and relationship types, and outputs for updated relationship data, it streamlines character development and storytelling in various contexts.

Canonical page: https://skillsregistry.net/skills/petitones-m5-petit-relations  
JSON: https://api.skillsregistry.net/v1/skills/petitones-m5-petit-relations

## Description

Enables reading and updating relationship data (likes, dislikes, important info, feelings, closeness, notes) for characters in a multi-character system, supporting both private and public relations.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mcotawxve6)
- **Repository:** <https://github.com/PetitOnes/m5-petit-relations>

## 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": "petitones-m5-petit-relations"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/petitones-m5-petit-relations` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/petitones-m5-petit-relations/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