Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Ken-Technology/cold-email-skillsnpx agentmods add skills/ken-technology/cold-email-skills/email-copywritingWrote 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/ken-technology/cold-email-skills/email-copywriting)<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.
<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>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 | $0.00061 | $0.06858 |
| Opus 5.5 | $0.00024 | $0.02743 |
| Sonnet 5.5 | $0.00012 | $0.01372 |
| Haiku 4.5 | $0.00006 | $0.00686 |
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 9d 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 — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.
How to write copy
Write the cold email sequence for one campaign segment: 2-6 steps (default 3), following the segment's angle, each step's purpose and its wait days. The copy must pass the lint contract below and the email-review checklist. In a conversation, draft in chat, get approval, then write it to the segment's emails.md. When a caller (the create-campaign workflow) hands you the plan and segment and saves the result itself, write the copy and return it.
You only write files. Sending, test sends and launch happen in the user's own sending tool (Instantly, Smartlead, Outreach, Apollo or any other), after a person approves the reviewed copy.
Where this fits
This skill runs once per segment, 0 - default included, inside the create-campaign workflow:
- campaign-strategy - sequence blueprint and AI-variable definitions in the segment's
strategy.md. - email-copywriting (this skill) - writes the sequence to the segment's
emails.md. - email-review - scores the copy against the same rules and the lint; on pass, writes the fixed copy to
emails_v2.md. - prompt-writer - writes the AI-variable prompts and the rewriting prompt to
prompts.mdand tests them on sample prospects.
On an email-review fail, leave emails_v2.md unwritten and rewrite emails.md with the review's instructions.
The campaign folder:
./cold-email/{slug}/
├── research.md # client research: ICP, value prop, proof, voice
├── notes.md # optional client preferences (they win over generic rules)
├── plan.md # H1 = campaign name; 1 ICP + 1 offer + N segments
├── segmentation.md
├── 0 - default/
│ ├── strategy.md # from campaign-strategy
│ ├── emails.md # THIS skill's draft
│ ├── emails_v2.md # reviewed copy from email-review
│ └── prompts.md # from prompt-writer
└── 1 - {segment-slug}/
Inputs
- Campaign folder:
./cold-email/{slug}/and the segment's folder in it (1 - {segment-slug}/, or0 - default/). Ask when the user has more than one campaign. - Offer, ICP, proof, voice:
research.mdin the campaign folder,notes.mdwhen it exists, and the company files from knowledge-setup when the user keeps them, plus any research the user provides. Every claim must be checkable against it. - Segment: name, angle, step purposes and wait days, from
plan.mdand the segment'sstrategy.md. - Strategy: the segment's
strategy.md(the## Strategy - <segment name>section from campaign-strategy). Without one, run campaign-strategy first. A Voice Card from an earlier draft sits in the## Notessection of the segment'semails.md. - AI-variable names: if the segment already has a
prompts.md, use its###headings exactly. Otherwise the strategy's AI-variable list is authoritative. - Priority: feedback in this conversation > client notes > campaign strategy > the generic rules below.
What ships with it
10 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.
- references/ai-variables-guide.md 7.7 KB
- references/copy-craft.md 4.4 KB
- references/copywriting-guide.md 3.2 KB
- references/email-copywriting-tactics.md 17 KB
- references/extra-info.md 6.3 KB
- references/gold-standard.md 8.3 KB
- references/lead-variables.md 8.6 KB
- references/qa.md 10 KB
- references/sound-human.md 10 KB
- references/spam-words.md 8.1 KB
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.
- 9d ago Changed · -236 lines · -34 tokens per session cd4ce827bffb
- 2mo ago First seen · 548 lines · 95 tokens per session scan A c1e97f3362ae
email-copywriting is a skill published in the GitHub repository Ken-Technology/cold-email-skills (4 stars, last pushed 6d ago), licensed MIT. It adds 61 tokens to every session and 6,858 once invoked, about $0.0002 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 2026-08-31.
email-copywriting compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| email-copywritingKen-Technology/cold-email-skills | Skill | 4 | 6d ago | MIT | A | 61 | Claude Code, Codex |
| cold-emailFrontal-so/outbound-skills | Skill | 9 | 1mo ago | MIT | A | 177 | Claude Code, Codex |
| list-buildingFrontal-so/outbound-skills | Skill | 9 | 1mo ago | MIT | A | 190 | Claude Code, Codex |
| claygentFrontal-so/outbound-skills | Skill | 9 | 1mo ago | MIT | A | 131 | Claude Code |
| conditional-logicFrontal-so/outbound-skills | Skill | 9 | 1mo ago | MIT | A | 128 | Claude Code |
| people-enrichmentFrontal-so/outbound-skills | Skill | 9 | 1mo ago | MIT | A | 110 | Claude Code |
| scoringFrontal-so/outbound-skills | Skill | 9 | 1mo ago | MIT | A | 113 | Claude Code |