# Provenance

> Use this tool when you need to assess the risk of tokenized assets on Mantle, as it provides deterministic risk ratings and explanations to inform investment decisions. Provenance solves the problem of uncertain asset risk by offering transparent and queryable ratings. It takes asset queries as input and returns risk ratings and explanations as output, making it ideal for use cases requiring informed asset evaluation and management.

Canonical page: https://skillsregistry.net/skills/ronkenx9-provenance  
JSON: https://api.skillsregistry.net/v1/skills/ronkenx9-provenance

## Description

Enables querying deterministic risk ratings and explanations for tokenized assets on Mantle.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g5ur6v7744)
- **Repository:** <https://github.com/ronkenx9/provenance>

## 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": "ronkenx9-provenance"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ronkenx9-provenance` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ronkenx9-provenance/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