# Screenshot

> Use this tool when you need to capture visual data from screens with flexibility and security, solving problems such as documentation, monitoring, and data collection while protecting sensitive information. It accepts screen regions and formats as inputs, producing images in various formats (PNG, JPEG, WebP, BMP) as outputs. Ideal for use cases requiring visual evidence, automated testing, or surveillance, particularly in environments with multiple monitors or privacy concerns.

Canonical page: https://skillsregistry.net/skills/digital-defiance-screenshot  
JSON: https://api.skillsregistry.net/v1/skills/digital-defiance-screenshot

## Description

Provides screenshot capture capabilities for AI agents with multi-format support (PNG, JPEG, WebP, BMP), privacy protection through OCR-based PII detection, and cross-platform compatibility. Features include full screen capture, window targeting, region extraction, multi-monitor support, rate limiting, and audit logging.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/digital-defiance-screenshot)
- **Repository:** <https://github.com/digital-defiance/mcp-screenshot>

## 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": "digital-defiance-screenshot"
    }
  }
}
```

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