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.
npx skills add aitytech/agentkits-marketing --skill email-marketinggit clone --depth 1 https://github.com/aitytech/agentkits-marketingWrote 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.
[](https://agentmods.dev/skills/aitytech/agentkits-marketing/email-marketing)<a href="https://agentmods.dev/skills/aitytech/agentkits-marketing/email-marketing"><img src="https://agentmods.dev/badge/skills/aitytech/agentkits-marketing/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.
<a href="https://agentmods.dev/skills/aitytech/agentkits-marketing/email-marketing"><img src="https://agentmods.dev/badge/skills/aitytech/agentkits-marketing/email-marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00032 | $0.01525 |
| Opus 5 | $0.00016 | $0.00763 |
| Sonnet 5 | $0.00006 | $0.00305 |
| Haiku 4.5 | $0.00003 | $0.00153 |
Grade A, and why
email-marketing 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Email Marketing
Email campaign strategy, automation, and optimization for engagement and conversion.
Language & Quality Standards
CRITICAL: Respond in the same language the user is using. If Vietnamese, respond in Vietnamese. If Spanish, respond in Spanish.
Standards: Token efficiency, sacrifice grammar for concision, list unresolved questions at end.
When to Use This Skill
Apply email expertise when:
- Creating email sequences and automations
- Improving deliverability and inbox placement
- Optimizing open rates and click rates
- Designing lifecycle email workflows
- Segmenting audiences for personalization
- A/B testing email elements
Core Concepts
Email Types & Timing
| Type | Purpose | Timing | Frequency |
|---|---|---|---|
| Welcome | Onboard new subscribers | Immediate (<5 min) | Once |
| Nurture | Build trust over time | Drip sequence | 1-2x/week |
| Promotional | Drive sales/signups | Campaign-based | 1-4x/month |
| Transactional | Confirm actions | Triggered | As needed |
| Re-engagement | Win back inactive | 30-90 days inactive | Once per cycle |
Email Performance Benchmarks
| Metric | Acceptable | Good | Excellent |
|---|---|---|---|
| Open Rate | 15-20% | 20-25% | 25%+ |
| Click Rate | 1-2% | 2-5% | 5%+ |
| Click-to-Open | 10-15% | 15-20% | 20%+ |
| Unsubscribe | <1% | <0.5% | <0.2% |
| Bounce Rate | <5% | <2% | <0.5% |
| Spam Complaint | <0.1% | <0.05% | <0.01% |
Email Anatomy
From: [Name] from [Brand] <[email protected]>
Subject: [Hook + Benefit] (50 chars optimal)
Preview: [Extends subject curiosity] (90-100 chars)
[Personalized greeting]
[Hook - address pain/desire in first line]
[Value delivery - main content]
[Social proof - testimonial/stat - optional]
[Single CTA button - clear action]
[P.S. - additional hook or urgency]
[Signature with human touch]
Subject Line Formulas
| Formula | Example | Best For |
|---|---|---|
| Question | "Still struggling with [pain]?" | Engagement |
| How-to | "How to [achieve outcome] in [time]" | Education |
| Curiosity | "[X] thing [audience] forget about [topic]" | Opens |
| Social Proof | "How [customer] got [result]" | Conversion |
| Urgency | "[X] hours left: [offer]" | Promotions |
| Personal | "{{first_name}}, quick question" | Response |
What ships with it
6 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.
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.
- 10d ago First seen · 191 lines · 32 tokens per session scan A e99dab0a32ff
email-marketing is a skill published in the GitHub repository aitytech/agentkits-marketing (597 stars, last pushed 12d ago), licensed MIT. It adds 32 tokens to every session and 1,525 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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