# cardcatalog

> cardcatalog — ddnet-repo-cardcatalog. Use this tool when you need to verify the credibility and trustworthiness of AI agents through adversarial exams and Ed25519-signed credentials. It solves problems related to AI agent certification, providing a secure and reliable way to establish trust in AI interactions. The cardcatalog tool accepts AI agent submissions and outputs verified credentials, making it ideal for use cases requiring secure AI authentication and authorization.

Canonical page: https://skillsregistry.net/skills/ddnet-repo-cardcatalog  
JSON: https://api.skillsregistry.net/v1/skills/ddnet-repo-cardcatalog

## Description

The certification authority for AI agents. Adversarial exams, Ed25519-signed credentials, examiner economy. https://cardcatalog.ai

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ddnet-repo/cardcatalog)

## 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": "ddnet-repo-cardcatalog"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ddnet-repo-cardcatalog` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ddnet-repo-cardcatalog/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