detect-skill

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SUMMARY

Agent skill for deepfake detection & media safety — detect AI-generated audio, images, and video with Resemble AI

README.md

Resemble Detect Skill

An agent skill for deepfake detection and media intelligence — powered by Resemble AI.

Give any AI agent the ability to detect AI-generated audio, images, and video, then analyze completed detection results using Resemble's Detect and Intelligence APIs.

Compatible Agents

Works with any agent that supports markdown skills:

Agent Install Method
Claude Code npx skills add resemble-ai/detect-skill or copy to .claude/skills/
OpenClaw (formerly Clawdbot) Copy to skills directory or import via built-in skill loader
Hermes Agent Add to skills directory — Hermes will auto-discover and self-improve on it
Cursor Add to .cursor/skills/ or project rules
GitHub Copilot Add to .github/copilot-instructions.md or reference in prompt
Windsurf Add to project rules
Gemini CLI Add to .gemini/skills/

Install

Via skills.sh (recommended):

npx skills add resemble-ai/detect-skill

Manual: Copy SKILL.md into your agent's skills directory.

What It Does

This skill teaches your agent to use Resemble's Detect and Intelligence APIs directly:

Capability Description
Deepfake Detection Analyze audio, image, and video for synthetic manipulation with labels, scores, status, and visualizations
Direct Uploads Submit local/private files directly to POST /detect with multipart upload, or use secure upload tokens for larger/non-public media
Audio Source Tracing Identify which AI platform, such as ElevenLabs or Resemble, may have synthesized detected fake audio
Intelligence Extract speaker info, emotion, transcription, misinformation signals, abnormalities, and image/video context
Detect Intelligence Ask natural-language follow-up questions about completed detection results

Requirements

  • A Resemble AI API key
  • curl for direct API calls
  • One of these media inputs for detection:
    • a public HTTPS URL,
    • a local file upload up to 150 MB, or
    • a secure upload token for larger/non-public media

Direct API Usage

This skill is built around direct Resemble REST API calls. Agents do not need an MCP server to run detection workflows; they can call the API with curl using a Resemble API key.

export RESEMBLE_API_KEY="..."
BASE_URL="https://app.resemble.ai/api/v2"

curl --request POST "${BASE_URL}/detect" \
  -H "Authorization: Bearer ${RESEMBLE_API_KEY}" \
  -H "Prefer: wait" \
  -H "Content-Type: application/json" \
  --data '{
    "url": "https://example.com/media.mp4",
    "intelligence": true,
    "visualize": true,
    "audio_source_tracing": true,
    "zero_retention_mode": true
  }'

For private/local media, POST /detect also supports direct multipart/form-data file upload up to 150 MB. For larger or non-public media, use the Secure Upload flow and pass the returned media_token into POST /detect. See SKILL.md for copy-pasteable workflows.

Optional: Pair With the Resemble MCP Server for Docs

If your agent supports MCP, you can still pair this skill with the Resemble MCP server for live documentation and endpoint schema lookup. MCP is optional; it is not required for the skill's Detect or Intelligence workflows.

Hosted endpoint:

https://mcp.resemble.ai/sse

See the Resemble MCP README for per-agent config snippets.

How It Works

The skill is a single markdown file (SKILL.md) that provides your AI agent with:

  • Decision tree — maps user intent to Detect, Intelligence, or Detect Intelligence endpoints
  • Direct API examples — curl-first workflows for URL, file upload, secure upload, and polling
  • Score interpretation — how to read and present detection confidence scores
  • Workflow templates — full media forensics and quick authenticity checks
  • Red flags — anti-patterns the agent should catch in its own reasoning
  • Error handling — common status codes with cause and resolution

Agents like Hermes Agent with self-improving skill systems will automatically refine their use of this skill over time. OpenClaw's 100+ prebuilt skills ecosystem makes it a natural fit — drop detect.md in and it works alongside existing skills immediately.

Example Prompts

Once installed, try asking your agent:

  • "Is this audio file a deepfake?"
  • "Analyze this video for AI manipulation and tell me what platform might have generated it."
  • "Run detection with intelligence on this image URL."
  • "Ask a follow-up question about this completed detection result."
  • "What can you tell me about this audio — speaker, emotion, language, any abnormalities?"

Links

License

Apache-2.0

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