Guides multimodal media authentication and deepfake forensics using provenance checks, metadata review, PRNU/noise analysis, temporal consistency, semantic forensics, and evidence reporting. Use when the user asks to verify images, audio, or video, investigate synthetic media, assess fake or manipulated content, or prepare a media authenticity report.
How to install deepfake-detection?
dirnbauer/webconsulting-skills/deepfake-detection
$npx -y skills add dirnbauer/webconsulting-skills --skill deepfake-detectionInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/dirnbauer/webconsulting-skills" --skill "dirnbauer/webconsulting-skills/deepfake-detection"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/dirnbauer/webconsulting-skills" that are relevant to the current task. Run `npx skills add "https://github.com/dirnbauer/webconsulting-skills"` and select the relevant skills, then follow their instructions.
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