# eigenmark

> eigenmark — wisdomdivine-eigenmark. Use this tool when you need to verify and manage rights for AI agents, enabling secure and trustworthy interactions. Eigenmark solves problems related to authentication, authorization, and data access control, providing a reliable interface for inputting and outputting verified credentials. It is particularly useful in contexts where AI agents require validated access to sensitive information or resources.

Canonical page: https://skillsregistry.net/skills/wisdomdivine-eigenmark  
JSON: https://api.skillsregistry.net/v1/skills/wisdomdivine-eigenmark

## Description

The machine verifiable rights layer built for AI agents. Powered by Arbitrum, Model Context Protocol, and Supabase.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-19

## Source

- **Source listing:** [GitHub](https://github.com/wisdomdivine/eigenmark)

## 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": "wisdomdivine-eigenmark"
    }
  }
}
```

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

---
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