Deepfake Detection
This skill analyzes media to identify potential deepfakes, safeguarding against misinformation and ensuring content authenticity.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add deepfake-detection npx -- -y @trustedskills/deepfake-detection
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"deepfake-detection": {
"command": "npx",
"args": [
"-y",
"@trustedskills/deepfake-detection"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill analyzes images and videos to detect the presence of deepfakes. It identifies manipulated media where a person's likeness has been digitally altered or superimposed onto another video. The tool provides an assessment score indicating the likelihood that the content is a deepfake, helping users verify authenticity.
When to use it
- Fact-checking news: Evaluate potentially misleading videos circulating online.
- Social media verification: Assess the credibility of user-generated content.
- Content authentication: Confirm the genuineness of images or videos used in professional settings.
- Investigative journalism: Support investigations involving manipulated media.
Key capabilities
- Deepfake detection analysis
- Likelihood assessment scoring
- Image and video processing
Example prompts
- "Analyze this image for deepfake indicators: [image URL]"
- "Is this video likely a deepfake? [video URL]"
- "Assess the authenticity of this content. [content URL]"
Tips & gotchas
The accuracy of deepfake detection is constantly evolving alongside advancements in AI generation techniques. While helpful, consider results as indicators and not definitive proof.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.