# opsecscan

> opsecscan — cognis-digital-opsecscan. Use this tool when you need to identify potential OPSEC leaks in documents and files, such as geotags, author information, and GPS EXIF data. It scans file metadata to detect sensitive information, including unit identifiers, and provides output that highlights potential security risks. Ideal for use in git workflows to ensure operational security and prevent unintended data exposure.

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

## Description

Scan documents and file metadata for OPSEC leaks: geotags, author, GPS EXIF, unit identifiers.

## 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/opsecscan)

## 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-opsecscan"
    }
  }
}
```

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