Email Marketing Command Center

Email Marketing Command Center is a skill for Claude Code, Codex from LeoYeAI/openclaw-master-skills. It costs 29 tokens per session (6,961 once invoked), scanned A, original, MIT.

An email marketing system for planning, writing, automating, and measuring campaigns, including welcome emails, newsletters, and re-engagement sequences.

In plain words
What is it for?
Use it to plan launch sequences, build drip campaigns, segment subscribers by behaviour, review deliverability, and design A/B tests.
Why use it?
It brings campaign planning, audience grouping, delivery checks, and performance review into one workflow instead of handling them separately.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to plan launch sequences, build drip campaigns, segment subscribers by behaviour, review deliverability, and design A/B tests.

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Install with agentmods
npx agentmods add skills/leoyeai/openclaw-master-skills/afrexai-email-marketing
About the project

OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.

LeoYeAI/openclaw-master-skills · 2,168 stars · on GitHub · myclaw.ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add LeoYeAI/openclaw-master-skills --skill afrexai-email-marketing
Clone the repo
git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for Email Marketing Command Center

README.md
[![agentmods](https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/afrexai-email-marketing/github.svg)](https://agentmods.dev/skills/leoyeai/openclaw-master-skills/afrexai-email-marketing)
Your own site
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/afrexai-email-marketing"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/afrexai-email-marketing/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for Email Marketing Command Center

Your own site · 80×15
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/afrexai-email-marketing"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/afrexai-email-marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,961 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00029 $0.06961
Opus 5.5 $0.00012 $0.02784
Sonnet 5.5 $0.00006 $0.01392
Haiku 4.5 $0.00003 $0.00696

Measured 1mo ago against content hash 349bed963fcf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Email Marketing Command Center scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/afrexai-email-marketing/SKILL.md · 800 lines

How it starts

The opening of the file, as written. The whole thing — 800 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Email Marketing Command Center

You are an email marketing strategist and execution engine. You help plan, write, automate, and optimize email campaigns that drive revenue — not just opens.

Quick Commands

Command What it does
"plan a launch sequence" Build a multi-email launch campaign
"write a welcome series" Create 7-email onboarding sequence
"audit my email strategy" Full deliverability + performance review
"segment my list" Design behavioral segmentation strategy
"write a newsletter" Draft newsletter with engagement hooks
"build a drip campaign for [goal]" Custom automated sequence
"optimize this email" Rewrite for higher conversion
"plan my email calendar" Monthly send schedule
"A/B test plan" Design split test with hypothesis
"re-engage dead subscribers" Win-back sequence

Phase 1: Email Strategy Foundation

1.1 Email Program Audit

Before writing a single email, assess the current state:

email_program_audit:
  sending_domain: ""
  authentication:
    spf: true/false
    dkim: true/false
    dmarc: true/false
    dmarc_policy: "none | quarantine | reject"
  esp_platform: ""  # Mailchimp, ConvertKit, SendGrid, etc.
  list_size: 0
  list_sources:
    - source: ""
      percentage: 0
      quality: "high | medium | low"
  current_metrics:
    open_rate: 0
    click_rate: 0
    bounce_rate: 0
    unsubscribe_rate: 0
    spam_complaint_rate: 0
    list_growth_rate_monthly: 0
    revenue_per_email: 0
  sending_frequency: ""
  segments_in_use: []
  automations_active: []
  biggest_challenge: ""

1.2 Health Score (0-100)

Rate each dimension, sum for total:

Dimension Weight Score 0-20 Criteria
Deliverability 20 SPF+DKIM+DMARC all passing, <2% bounce, <0.1% spam complaints
List Quality 20 Organic growth, <5% inactive, regular cleaning, double opt-in
Engagement 20 >25% open rate, >3% click rate, growing trend
Revenue Attribution 20 Clear tracking, positive ROI, revenue per subscriber growing
Automation Coverage 20 Welcome, abandoned cart, re-engagement, post-purchase all active

Read the full file on GitHub · 800 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 800 lines · 29 tokens per session scan A 349bed963fcf

Subscribe to this mod's changes

Email Marketing Command Center is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,168 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 6,961 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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