# aicard

> Use this tool when you need to streamline compliance with AI regulations, such as NIST AI RMF and EU AI Act Annex IV, by auto-generating model and system cards. It solves problems related to regulatory compliance and documentation for AI systems, saving time and effort. The aicard tool takes in relevant model and system information and outputs compliant model and system cards via the Model Cards Platform (MCP).

Canonical page: https://skillsregistry.net/skills/cognis-digital-aicard  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-aicard

## Description

Enables AI agents to auto-generate NIST AI RMF and EU AI Act Annex IV compliant model and system cards via MCP.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r49exely5m)
- **Repository:** <https://github.com/cognis-digital/aicard>

## 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": "cognis-digital-aicard"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-aicard` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-aicard/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