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 brainbytes-dev/everything-claude-marketing --skill email-copywritinggit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-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/brainbytes-dev/everything-claude-marketing/email-copywriting)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/email-copywriting"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/email-copywriting/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/brainbytes-dev/everything-claude-marketing/email-copywriting"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/email-copywriting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00031 | $0.03185 |
| Opus 5.5 | $0.00012 | $0.01274 |
| Sonnet 5.5 | $0.00006 | $0.00637 |
| Haiku 4.5 | $0.00003 | $0.00318 |
Grade A, and why
email-copywriting 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 2mo 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 — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Email Copywriting
When to Activate
Use this skill when:
- Writing subject lines for email campaigns
- Drafting email body copy (promotional, educational, transactional)
- Optimizing CTAs and button copy
- Writing email sequences (welcome, sales, nurture)
- A/B testing email copy elements
- Reviewing and improving existing email copy
- Writing preview text and preheader copy
First Questions
Before writing email copy, clarify:
- What is the email's ONE goal? (Click, reply, purchase, register, read)
- Who is the recipient? (Segment, relationship stage, pain points)
- What action should the reader take after reading?
- What is the offer or value proposition?
- Is this a standalone campaign or part of a sequence? (Context from previous emails?)
- What tone/voice does the brand use? (Formal, conversational, edgy, warm)
- Is this plain text, HTML, or hybrid?
Core Rules
- One email, one goal. If the email has two CTAs pointing to different actions, pick one and remove the other.
- Subject line > body copy > CTA. If the subject line fails, nothing else matters because no one reads the email.
- Write for scanners. Most people scan emails in 3-8 seconds. Structure for scanning with headers, bold text, short paragraphs, and bullet points.
- Write like a human, not a brand. Emails that feel like letters from a person outperform corporate announcements.
- Every sentence must earn the next sentence. If a line doesn't add value, cut it.
- Mobile first. 60%+ of email opens are on mobile. Short subject lines, short paragraphs, large tappable buttons.
- The CTA must be unmissable. One primary CTA, above the fold, clear and action-oriented.
Subject Line Formulas
Curiosity-Driven
- "The [thing] that [unexpected result]"
- "Why [common practice] doesn't work anymore"
- "I was wrong about [topic]"
- "[First name], you're not going to believe this"
- "The secret behind [impressive result]"
Benefit-Driven
- "How to [achieve result] in [timeframe]"
- "[Number] ways to [solve problem] (without [common objection])"
- "The fastest way to [desired outcome]"
- "Get [specific result] — here's how"
- "Your [problem] ends today"
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.
- 2mo ago First seen · 309 lines · 31 tokens per session scan A 03b934b6c908
email-copywriting is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 31 tokens to every session and 3,185 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.
email-copywriting compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| email-copywritingbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 31 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
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| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
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| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |