Skip to content
TrustedSkillsbeta
Back to all skills

Deepfake Detection

Checked
dirnbauer·vlatest·video-media

This skill analyzes media to identify potential deepfakes, safeguarding against misinformation and ensuring content authenticity.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add dirnbauer/webconsulting-skills --skill deepfake-detection -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

dirnbauer

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Only contacts known or declared hosts: github.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    github.comsource host

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned dirnbauer/webconsulting-skills at 98b562d70f.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
98b562d70f
Manifest
skills/deepfake-detection/SKILL.md
Scanned
14 files, 1,147 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

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.