mcpField
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deliverability-checker

deliverability-checker

github.com/guia-matthieuCloud & DevOps150257 installsUpdated 4w ago
Repository

About deliverability-checker

deliverability-checker is a skill for diagnosing email delivery configuration issues. Its command-line scripts check a domain’s SPF, DKIM, DMARC, and MX records and can produce an audit report for troubleshooting or verification.

Key features

  1. 01Audit SPF, DKIM, DMARC, and MX
  2. 02Check individual DNS record types
  3. 03Generate HTML audit reports
  4. 04Reference common provider records

Use cases

  1. 01Troubleshoot emails landing in spam
  2. 02Verify email authentication for new domains
  3. 03Audit email settings after domain migration
  4. 04Check a client domain’s email health

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/guia-matthieu/clawfu-skills --skill deliverability-checker

After installing, type/deliverability-checkerin Claude Code to confirm it loaded.

Bundled filesscripts/main.pyscripts/requirements.txt

Details

From the project README

Email Deliverability Checker

Diagnose email deliverability issues by checking SPF, DKIM, DMARC, and other DNS records - fix why your emails land in spam.

When to Use This Skill

  • Delivery troubleshooting - Emails landing in spam
  • New domain setup - Configure email authentication
  • Migration audit - Verify email config after domain change
  • Client onboarding - Check client email health
  • Compliance check - Ensure proper authentication

What Claude Does vs What You Decide

Claude DoesYou Decide
Structures analysis frameworksMetric definitions
Identifies patterns in dataBusiness interpretation
Creates visualization templatesDashboard design
Suggests optimization areasAction priorities
Calculates statistical measuresDecision thresholds

Dependencies

pip install dnspython click

Commands

Full Audit
python scripts/main.py audit example.com
python scripts/main.py audit example.com --output report.html
Check SPF
python scripts/main.py spf example.com
Check DKIM
python scripts/main.py dkim example.com --selector google
python scripts/main.py dkim example.com --selector default
Check DMARC
python scripts/main.py dmarc example.com
Check MX Records
python scripts/main.py mx example.com

Examples

Example 1: Full Email Audit
python scripts/main.py audit acme-corp.com

# Output:
# Email Deliverability Audit: acme-corp.com
# ──────────────────────────────────────────
# MX Records:      ✓ Found (Google Workspace)
# SPF:             ✓ Valid
# DKIM (google):   ✓ Valid
# DMARC:           ✗ Missing (CRITICAL)
#
# Score: 75/100
#
# Issues Found:
# 1. [CRITICAL] No DMARC record found
#    Fix: Add TXT record for _dmarc.acme-corp.com
#    Value: v=DMARC1; p=none; rua=mailto:[email protected]
Example 2: Diagnose SPF Issues
python scripts/main.py spf newsletter-sender.com

# Output:
# SPF Analysis: newsletter-sender.com
# ────────────────────────────────────
# Record: v=spf1 include:_spf.google.com include:sendgrid.net ~all
#
# Status: ✓ Valid
#
# Authorized Senders:
# - Google Workspace (include:_spf.google.com)
# - SendGrid (include:sendgrid.net)
#
# Policy: ~all (soft fail)
# Warning: Consider changing to -all (hard fail) for better security

Email Authentication Records

RecordPurposeLocation
SPFAuthorize sending serversTXT on root domain
DKIMCryptographic signatureTXT on selector._domainkey
DMARCPolicy and reportingTXT on _dmarc subdomain
MXMail delivery serversMX on root domain

Common SPF Includes

ProviderSPF Include
Google Workspaceinclude:_spf.google.com
Microsoft 365include:spf.protection.outlook.com
SendGridinclude:sendgrid.net
Mailchimpinclude:servers.mcsv.net
Amazon SESinclude:amazonses.com

DKIM Selectors by Provider

ProviderCommon Selector
Google Workspacegoogle
Microsoft 365selector1, selector2
SendGrids1, s2
Mailchimpk1

Deliverability Score Factors

FactorWeightImpact
Valid MX20%Can't receive replies
Valid SPF25%Server authorization
Valid DKIM25%Message integrity
Valid DMARC30%Policy enforcement

Skill Boundaries

What This Skill Does Well
  • Structuring data analysis
  • Identifying patterns and trends
  • Creating visualization frameworks
  • Calculating statistical measures
What This Skill Cannot Do
  • Access your actual data
  • Replace statistical expertise
  • Make business decisions
  • Guarantee prediction accuracy

Related Skills

Skill Metadata

  • Mode: centaur
category: email-tools
subcategory: deliverability
dependencies: [dnspython]
difficulty: beginner
time_saved: 2+ hours/week

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