# deai-image

> Use this tool when you need to authenticate the origin of images or detect potential deepfakes, as it detects and removes AI fingerprints from AI-generated images, taking in image files as input and outputting cleaned images with reduced AI artifacts, ideal for use cases involving image forensics and authenticity verification. It solves problems related to image manipulation and AI-generated content detection. This tool is particularly useful in contexts where image authenticity is crucial, such as media, law enforcement, and academic research.

Canonical page: https://skillsregistry.net/skills/swaylq-deai-image  
JSON: https://api.skillsregistry.net/v1/skills/swaylq-deai-image

## Description

Detect and remove AI fingerprints from AI-generated images.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-05-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/swaylq-deai-image)

## 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": "swaylq-deai-image"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/swaylq-deai-image` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/swaylq-deai-image/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