email-copywriting

email-copywriting is a skill for Claude Code, Codex from Ken-Technology/cold-email-skills. It costs 95 tokens per session (8,438 once invoked), scanned A, original, MIT.

Guidance for writing cold email campaigns, meaning unsolicited business emails sent to people who have not previously contacted you. It covers message structure, personalization placeholders, calls to action, signatures, and quality checks.

In plain words
What is it for?
Writing email sequences, creating message variants, adding personalized subject or body lines, using company and first-name fields, and preparing campaign files that downstream tools can parse.
Why use it?
It helps keep email copy consistent with the formats expected by campaign tools. It also clarifies how to write reusable messages with separate sender and lead information.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: model in frontmatter.

Good fit Writing email sequences, creating message variants, adding personalized subject or body lines, using company and first-name fields, and preparing campaign files that downstream tools can parse.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ken-technology/cold-email-skills/email-copywriting
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 Ken-Technology/cold-email-skills --skill email-copywriting
Clone the repo
git clone --depth 1 https://github.com/Ken-Technology/cold-email-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-copywriting

README.md
[![agentmods](https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/email-copywriting/github.svg)](https://agentmods.dev/skills/ken-technology/cold-email-skills/email-copywriting)
Your own site
<a href="https://agentmods.dev/skills/ken-technology/cold-email-skills/email-copywriting"><img src="https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/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.

agentmods 80×15 button for email-copywriting

Your own site · 80×15
<a href="https://agentmods.dev/skills/ken-technology/cold-email-skills/email-copywriting"><img src="https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/email-copywriting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,438 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00095 $0.08438
Opus 5 $0.00048 $0.04219
Sonnet 5 $0.00019 $0.01688
Haiku 4.5 $0.00010 $0.00844

Measured 11d ago against content hash c1e97f3362ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

email-copywriting scanned grade A with 1 finding 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 11d 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.

Asks the agent to reveal its instructionslowSystem prompt leakage

Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.

- Every AI variable used (e.g. `{{First Line}}`) must have a matching H3 in `prompts.md`. `{{Subject Line}}` is the exception you don't have to write: many personalization stacks auto-emit a Subject Line output prompt fo

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

email-copywriting/SKILL.md · 548 lines

How it starts

The opening of the file, as written. The whole thing — 548 lines — stays where its author put it; the contents beside it link to each section on GitHub.

How to write copy

Output Contract

emails_v2.md (and emails.md) must follow a fixed structure so downstream campaign tooling can parse them reliably. Hard rules this skill must honor:

  • ## Email N: {Descriptive Title} - the title is the sequence step name (truncated to 25 chars). Missing title → step name falls back to Variant A.
  • ### Variant A (desc) / ### Variant B (desc) - literal word Variant, never Version (tools should warn on Version). Letter in A..D. Parenthetical description becomes the step-name suffix.
  • Combined step name {title} - {variant_desc} must be ≤25 chars. Longer strings get truncated - authors should pre-shorten to preserve intent.
  • AI variables use double braces {{Title Case}} (uppercase-first required): {{First Line}}, {{PS Line}}, {{Subject Line}}. This is the canonical form for personalization tools and LLMs. (Legacy [Title Case] square brackets are still often auto-converted, but write {{...}} in all new copy.)
  • Lead variables use {camelCase}: {firstName}, {company}. Never {first_name}.
  • Signatures use the system variable {sender_signature} (single braces) in place of any hand-written sign-off - on every email. See the Signature rule below.
  • Never write {{tracking_link:...}} in local copy - write raw URLs or markdown links; tracking wrappers are tool-side if used.
  • End the file with a terminator H2 (## Notes, ## Signature Block, ## AI Personalization Placeholders) so trailing metadata doesn't get swallowed into the last email's body. Also supported: **Variant Notes**: / **Test Notes**: inline markers.
  • Every AI variable used (e.g. {{First Line}}) must have a matching H3 in prompts.md. {{Subject Line}} is the exception you don't have to write: many personalization stacks auto-emit a Subject Line output prompt for it (kept to_rewrite=0, so it's generated but never rewritten). Add a ### Subject Line H3 only when you want to override the default.

Overview

This skill provides comprehensive guidance for writing effective cold email copy. Use this skill when creating email sequences, writing cold outreach, or reviewing email campaigns. Claude should reference these guidelines whenever writing or reviewing cold email copy.

Read the full file on GitHub · 548 lines

Files

What ships with it

11 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. 11d ago First seen · 548 lines · 95 tokens per session scan A c1e97f3362ae

Subscribe to this mod's changes

email-copywriting is a skill published in the GitHub repository Ken-Technology/cold-email-skills (3 stars, last pushed 14d ago), licensed MIT. It adds 95 tokens to every session and 8,438 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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