# classguard

> classguard — cognis-digital-classguard. Use this tool when you need to validate classification banner markings in documents, such as CUI, CONFIDENTIAL, or SECRET, to ensure compliance with portion-marking rules. It solves problems related to document classification and security by checking for accurate markings. The tool takes documents as input and outputs validation results, making it ideal for use in git workflows where document security is a concern.

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

## Description

Validate classification banner markings (CUI/CONFIDENTIAL/SECRET) in documents per portion-marking rules.

## 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:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/cognis-digital/classguard)

## 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-classguard"
    }
  }
}
```

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