# veyra-contacts

> veyra-contacts — aquariosan-veyra-contacts. Use this tool when you need to manage persistent contacts for AI agents, solving issues of data loss and inconsistency across interactions. It allows for free reading and writing with Veyra commit mode, providing a seamless interface for inputting and outputting contact information. Ideal for use cases requiring reliable and continuous contact data storage, such as customer service or relationship management.

Canonical page: https://skillsregistry.net/skills/aquariosan-veyra-contacts  
JSON: https://api.skillsregistry.net/v1/skills/aquariosan-veyra-contacts

## Description

Persistent contact management for AI agents. Read freely, write with Veyra commit mode.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Aquariosan/veyra-contacts)

## 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": "aquariosan-veyra-contacts"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aquariosan-veyra-contacts` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aquariosan-veyra-contacts/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