# itarcheck

> itarcheck — cognis-digital-itarcheck. Use this tool when you need to identify potential ITAR/EAR export-controlled terms and USML categories in code, datasheets, and documents to ensure compliance with export regulations. It analyzes input texts from git repositories, code files, and documents, and outputs flagged terms and categories. Ideal for use in development environments where export-controlled technology is involved.

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

## Description

Flags potential ITAR/EAR export-controlled terms and USML categories in code, datasheets, and docs.

## 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/itarcheck)

## 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-itarcheck"
    }
  }
}
```

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