The Veriff skill enables AI agents to manage identity verification sessions and automate fraud prevention workflows via the Membrane protocol.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install veriff
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 veriff 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 Veriff Integration for AI Agents?
The Veriff skill for Openclaw Skills provides a robust bridge between AI agents and the Veriff identity verification platform. By leveraging the Membrane CLI, this skill abstracts the complexities of OAuth and API key management, allowing agents to focus on high-level logic like person record management and session reporting. It is an essential tool for developers building AI-driven fintech, crypto, or transportation applications that require secure, automated identity checks.
This integration ensures that Openclaw Skills can interact with Veriff data seamlessly. Whether you are automating verification triggers or retrieving detailed reports for compliance, the skill provides a standardized interface for all identity-related operations while maintaining high security through server-side credential management.
Veriff Integration for AI Agents Use Cases
- Automating the creation of verification sessions for new user sign-ups in fintech applications.
- Programmatically retrieving and analyzing identity verification reports for compliance auditing.
- Managing person records and identity metadata within a secure AI-driven workflow.
- Real-time monitoring of verification statuses to trigger downstream onboarding actions.
- Integrating fraud prevention layers into automated customer service or support agents.
How Veriff Integration for AI Agents Works
- The AI agent initializes the environment by installing the Membrane CLI to handle the communication layer.
- Authentication is established using a tenant-based login that maps the agent type to the specific Veriff environment.
- A connection is ensured by targeting the Veriff domain, which triggers the automated authentication lifecycle.
- The agent polls the connection state, handling any required client actions such as manual OAuth approval if needed.
- The agent discovers available Veriff actions using natural language intent searches (e.g., searching for "create session").
- Standardized actions are executed via the CLI, or raw API proxy requests are used for advanced endpoints with automatic header injection.
Veriff Integration for AI Agents Setup
First, install the required CLI tool:
npm install -g @membranehq/cli@latest
Next, authenticate your agent (replace <agentType> with openclaw):
membrane login --tenant --clientName=openclaw
Finally, establish a connection to Veriff:
membrane connection ensure "https://www.veriff.com/" --json
Veriff Integration for AI Agents Data Schema & Taxonomy
The Veriff skill organizes data around three primary entities within the Openclaw Skills ecosystem:
| Entity | Description |
|---|---|
| Verification Session | The core object representing a single identity check process. |
| Person | Metadata and records associated with the individual being verified. |
| Report | The final output containing the verification results, fraud flags, and data extracts. |
All interactions return JSON objects containing id, name, inputSchema, and outputSchema for easy parsing by AI models.
Veriff Integration for AI Agents Advanced Features
- Natural Language Action Discovery: Find the right Veriff API endpoint using intent-based searching rather than hardcoded paths.
- Automated Credential Refresh: Membrane handles token expiration server-side, preventing workflow interruptions.
- Proxy Request Mode: Access any Veriff endpoint not covered by pre-built actions with automatic authentication injection.
- Long-polling Connection Management: Use the
--waitflag to synchronize agent actions with the asynchronous nature of identity verification states. - Multi-agent Adjustments: Tailors tooling responses specifically for the Openclaw Skills harness to optimize token usage.
SKILL.md
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