An official verification skill for Today's Watermark Camera that detects photo tampering and extracts original capture metadata.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install watermark-camera-verifier
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install watermark-camera-verifier using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Watermark Camera Verifier?
The Watermark Camera Verifier is a specialized tool designed for high-integrity photo validation. By integrating with the official Today's Watermark Camera (今日水印相机) ecosystem, this Openclaw Skills contribution allows AI agents to verify whether a photo is authentic or has been tampered with. It performs deep analysis of encrypted features, timestamps, and GPS coordinates to ensure data reliability.
Built with a focus on security and privacy, the skill makes direct, encrypted HTTPS requests to official verification servers. It does not retain image content or forward data to third parties, making it a trusted choice for enterprise-grade compliance and forensic photography needs within the Openclaw Skills framework.
Watermark Camera Verifier Use Cases
- Insurance claims processing to verify vehicle or property damage photos.
- Labor attendance tracking to prevent falsified check-in locations and times.
- Engineering project management for authenticating site progress documentation.
- Legal evidence collection requiring traceable and verifiable photographic proof.
- Compliance auditing to ensure business process photos meet regulatory standards.
How Watermark Camera Verifier Works
- The AI agent identifies a photo URL or a user request questioning the authenticity of a watermark image.
- The skill sends the public image URL to the official Today's Watermark Camera API (openapi.xhey.top).
- The server analyzes underlying encrypted security codes, metadata, and rendering traces.
- A detailed verdict is returned, indicating if the photo is authentic or modified.
- The skill extracts and presents verified metadata, including the precise capture time and GPS address, to the user.
Watermark Camera Verifier Setup
To use this skill, you must obtain a GroupKey and GroupSecret by contacting the official support line at 13141152023. Once you have your credentials, add the skill to your environment:
claude mcp add watermark-camera-verifier \
-e TRUTU_GROUP_KEY=your_group_key \
-e TRUTU_GROUP_SECRET=your_group_secret \
-- node /path/to/mcp_server.js
Watermark Camera Verifier Data Schema & Taxonomy
The skill processes image URLs and returns structured JSON data containing verification status and metadata:
| Field | Description |
|---|---|
| status | Numeric code representing verification result (0 for success) |
| verdict | Human-readable result: Pass, Fail, or Error |
| message | Detailed explanation of the verification result |
| metadata | Object containing photoTime, photoAddress, lat, and lng |
Watermark Camera Verifier Advanced Features
- Multi-photo batch processing (up to 10 URLs per request).
- Real-time anti-tamper detection for high-security environments.
- Automated metadata extraction for GPS and timestamp synchronization.
- Support for official mock data testing to validate integration workflows.
- Seamless integration with Openclaw Skills for automated compliance reporting.
SKILL.md
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