# collectible-vault

> collectible-vault — cereos20-collectible-vault. Use this tool when you need to manage and track collectibles, as it enables AI assistants to perform item lookup, addition, valuation, and portfolio summary using natural language. It solves problems related to organization, valuation, and portfolio management for collectors. The tool accepts natural language inputs and provides detailed outputs, making it ideal for use cases where collectors need to quickly access and manage their collectibles.

Canonical page: https://skillsregistry.net/skills/cereos20-collectible-vault  
JSON: https://api.skillsregistry.net/v1/skills/cereos20-collectible-vault

## Description

Enables AI assistants to manage a universal collectibles vault with natural language, supporting item lookup, addition, valuation, and portfolio summary via FastMCP.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dskdka9fvr)
- **Repository:** <https://github.com/cereos20/collectible-vault>

## 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": "cereos20-collectible-vault"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cereos20-collectible-vault` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cereos20-collectible-vault/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