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SKILL verified MIT Self-run

Email Finder

skill-genfeedai-skills-email-finder · by genfeedai

Find and verify contact emails associated with a domain using free discovery methods first and APIs when keys are available. Triggers on domain email scans, contact discovery, email pattern finding, and email enrichment.

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Install

$ agentstack add skill-genfeedai-skills-email-finder

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Email Finder

Overview

Discover email addresses associated with a domain using a hybrid approach: free methods first (web scraping, pattern guessing, WHOIS lookup), then APIs (Hunter.io, Apollo.io, etc.) when keys are available.

When to Use

  • Scan a domain to find associated emails
  • Find contact emails for a company
  • Replace email hunter functionality
  • Find email patterns for a domain
  • Verify email addresses
  • Enrich contact data with discovered emails

Project Context Discovery

Before finding emails:

  1. Check for existing email discovery tools
  2. Review available API keys (Hunter.io, Apollo.io)
  3. Check compliance/privacy requirements
  4. Look for project-specific [project]-email-finder skill

Methodology

Free Methods (Primary)

  1. Web Scraping - Scan /contact, /about, /team pages for emails
  2. WHOIS Lookup - Query domain registration data
  3. Pattern Guessing - Generate patterns from names found on site:
  • firstname.lastname@domain.com
  • firstnamelastname@domain.com
  • firstname@domain.com
  • f.lastname@domain.com

API Methods (If Keys Available)

| API | Env Variable | Purpose | |-----|-------------|---------| | Hunter.io | HUNTER_API_KEY | Domain search + verification | | Apollo.io | APOLLO_API_KEY | Contact discovery | | Snov.io | SNOV_CLIENT_ID/SECRET | Email finder | | Clearbit | CLEARBIT_API_KEY | Company enrichment |

Email Result Interface

interface EmailResult {
  email: string;
  source: 'web-scraping' | 'whois' | 'pattern-guessing' | 'hunter' | 'apollo';
  confidence?: number;
  firstName?: string;
  lastName?: string;
  position?: string;
  verified?: boolean;
}

Best Practices

  • Rate limiting: Delay between requests (1s recommended)
  • Respect robots.txt: Check before scraping
  • Deduplicate: Normalize emails (lowercase, trim)
  • Verify: Use MX record checks or API verification
  • Filter: Remove noreply@, donotreply@ addresses

Legal & Ethical

  • Comply with GDPR/CCPA
  • Respect terms of service
  • Honor opt-out requests
  • Don't spam discovered emails

Integration

Works well with:

  • leads-researcher - Discover contact emails after researching companies
  • Genfeed copywriter - Use found emails for outreach campaigns

For complete implementation code, API examples, verification patterns, and rate limiting utilities, see: references/full-guide.md

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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