A comprehensive verification toolkit for age-appropriate content filtering and regulatory compliance within the AI ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install age-verification
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 age-verification 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 Age Guard?
Age Guard is a specialized component of the Openclaw Skills library designed to provide developers with a multi-layered approach to age verification. It enables applications to enforce strict age restrictions and manage parental consent through a variety of methods, ensuring that AI agents interact with users in a safe and legally compliant manner. By integrating this skill, developers can handle complex regulatory requirements like COPPA while maintaining a seamless user experience.
This skill provides the necessary infrastructure to bridge the gap between user identity and content safety. Whether you need a simple honor-system gate or enterprise-grade document scanning, Age Guard offers the flexibility to scale security based on the sensitivity of the content being served through your Openclaw Skills integration.
Age Guard Use Cases
- COPPA compliance for applications serving children under the age of 13.
- Restricting access to mature or age-sensitive content such as gambling, alcohol, or adult media.
- Enforcing parental control settings and managing consent workflows for minor accounts.
How Age Guard Works
- The application detects a restricted content request and triggers the Age Guard verification sequence.
- The user is presented with a verification method selection, such as ID upload, face estimation, or third-party login.
- Age Guard processes the input via computer vision or third-party APIs (like Yoti or Jumio) to determine the user's age.
- Upon successful validation, the skill issues a session-based verification token allowing access to restricted features.
- For children's accounts, the skill can initiate a parental PIN or email consent workflow to finalize authorization.
Age Guard Setup
To begin using this skill within your Openclaw Skills project, install the package via npm:
npm install @clawhub/age-guard
After installation, configure your preferred verification providers in your configuration file to enable document scanning or third-party API integrations.
Age Guard Data Schema & Taxonomy
The skill manages verification states and metadata using a structured schema to ensure privacy and auditability:
| Property | Description | Data Type |
|---|---|---|
verificationMode |
The method used (e.g., face_estimation, id_scan, self_report) | String |
isVerified |
Boolean flag indicating if the user met the age requirement | Boolean |
estimatedAge |
The numeric age determined by the verification process | Number |
consentToken |
A unique identifier for parental authorization records | UUID |
providerReference |
Transaction ID from third-party services like Yoti or Jumio | String |
Age Guard Advanced Features
- Multi-provider support for enterprise verification services including Yoti and Jumio.
- Integrated computer vision models for real-time face-based age estimation.
- Automated document OCR for extracting birth dates from passports and national IDs.
- Customizable UI components for creating seamless age-gate experiences within Openclaw Skills.
- Secure parental PIN management for shared device environments.
SKILL.md
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