A technical utility to verify email address deliverability using SMTP handshakes and MX record lookups without sending actual mail.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install email-verifier
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install email-verifier using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Email Verifier is a professional-grade tool designed for the Openclaw Skills ecosystem to validate the existence of email addresses. It interacts directly with recipient mail servers to determine if an address is deliverable, helping developers and marketers maintain high sender reputations and reduce bounce rates.
This skill is particularly useful for pre-processing contact lists, as it performs deep checks including MX record resolution and catch-all domain detection. By utilizing this utility within Openclaw Skills, users can automate the hygiene of their lead databases and ensure that communication efforts are directed only at valid, reachable mailboxes.
To get started with this tool from the Openclaw Skills collection, install the required Python dependency:
pip3 install dnspython
Ensure your network environment allows outbound traffic on port 25, as many ISPs and cloud providers block this port by default.
The skill generates a JSON array where each object represents a verification result. The schema is organized as follows:
| Key | Type | Description |
|---|---|---|
email |
String | The email address being verified |
domain |
String | The domain part of the email |
mx_host |
String | The hostname of the mail server that responded |
smtp_code |
Integer | The SMTP response code (e.g., 250 for success) |
deliverable |
String | Status: yes, no, catch-all, or unknown |
Loading
A multi-method tool for discovering and verifying professional email addresses through scraping, DNS analysis, and SMTP checks.

Identify high-value AI assistant prompts and content gaps to optimize your brand's presence in AI-generated answers.

A specialized tool for mining real-time Google Autocomplete question-based suggestions to fuel AEO and content research.

Analyze Gemini search query patterns and frequency distribution across multiple runs for optimized Answer Engine Optimization.

An automated workflow that searches, downloads, and vision-scores Instagram photography to find the best visual representations of any location.

A Python-powered automation tool for generating Instagram-optimized 4:5 portrait images with professional text overlays and gradients.








































