Agent skill · Media & Video

resemble-detect

Deepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble AI

GitHub68,948★ · +463/wk · 2 repos on radarProfile →
copilotMIT
Install
npx skills add github/awesome-copilot --skill resemble-detect --agent copilot

Same command for any agent — swap --agent for claude-code, codex, cursor.

Facts
Files in the skill folder: 3
SKILL.md size: 16 KB
Bundled scripts: none
Requires: Requires a Resemble AI API key (https://app.resemble.ai) set as RESEMBLE_API_KEY. All media must be accessible via…
Path: skills/resemble-detect/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 37,432 · +281 this week
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Resemble Detect — Deepfake Detection & Media Safety Analyze audio, image, video, and text for synthetic manipulation, AI-generated content, watermarks, speaker identity, and media intelligence using the Resemble AI platform. ## Core Principle — THE IRON LAW **"NEVER DECLARE MEDIA AS REAL OR FAKE WITHOUT A COMPLETED DETECTION RESULT."** Do not guess, infer, or speculate about media authenticity. Every authenticity claim must be backed by a completed Resemble detect job with a returned `label`, `score`, and `status: "completed"`. If the detection is still `processing`, wait. If it `failed`, say so — do not substitute your own judgment. ## When to Use Use this skill whenever the user's request involves any of these: - Checking if audio, video, image, or text is AI-generated or manipulated - Detecting deepfakes in any media format - Verifying media authenticity or provenance - Identifying which AI platform synthesized audio (source tracing) - Applying or detecting watermarks on media - Analyzing media for speaker info, emotion, transcription, or misinformation - Asking natural-language questions about detection results - Matching or verifying speaker identity against known voice prof

What's inside
Steps it walks through
  1. Core Principle — THE IRON LAW
  2. When to Use
  3. Capability Decision Tree
  4. Required Setup
  5. MCP Tools Available
  6. Full API Reference
  7. Phase 1: Deepfake Detection
  8. Reading Results
  9. Interpreting Scores
  10. Phase 2: Intelligence — Media Analysis
  11. Detect Intelligence — Ask Questions About Results
  12. Phase 3: Audio Source Tracing
  13. Phase 4: Watermarking
  14. Phase 5: Identity — Speaker Verification (Beta)
Ships with 2 files
  • LICENSE
  • references/api-reference.md
More from awesome-copilot
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About this skill
What does the resemble-detect skill do?

Deepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble AI

How do I install it?

Run `npx skills add github/awesome-copilot --skill resemble-detect --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going