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 Ken-Technology/cold-email-skills --skill email-reviewgit clone --depth 1 https://github.com/Ken-Technology/cold-email-skillsWrote 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-review)<a href="https://agentmods.dev/skills/ken-technology/cold-email-skills/email-review"><img src="https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/email-review/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-review"><img src="https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/email-review.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 | $0.04409 |
| Opus 5.5 | $0.00024 | $0.01764 |
| Sonnet 5.5 | $0.00012 | $0.00882 |
| Haiku 4.5 | $0.00006 | $0.00441 |
Grade A, and why
email-review 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Email Review Skill
Review a segment's emails.md against the lint contract, the critical copy rules, the QA checklists and client preferences. Score it 1-5. Pass = score >= 4.5 and zero HARD/REJECT violations. On pass, write the fixed copy to emails_v2.md in the segment folder. On fail, write nothing and hand revision instructions back to email-copywriting. When you review your own fresh draft (self-review before handing copy back), apply the same checklist and fix every violation before returning the copy.
Loop with email-copywriting until the copy passes, at most 3 rounds; after the third failed round, show the last review and let the user decide (accept the open issues, or change the strategy). You only read and write files: sending and launch happen in the user's own tools.
Inputs
- Segment folder:
./cold-email/{slug}/{n} - {segment-slug}/(0 - default/for the Default segment). Ask when the user has more than one. - The copy: the segment's
emails.mdfrom email-copywriting, or a draft the user pastes. - The offer and ICP to check claims against:
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. - Strategy and ICP Voice Card: the segment's
strategy.md, and the Voice Card in the## Notessection ofemails.md. Priority order is under Priority and scope. - The segment's AI variables: the
###headings of the segment'sprompts.mdwhen prompt-writer has run; otherwise the AI variable list instrategy.md.
Reference material
references/qa.md- QA checklists, scoring criteria, self-review questions, first-line failure-to-fix pairsreferences/extra-info.md- exercises, tips, common mistakesreferences/gold-standard.md- the 9/10 barreferences/spam-words.md- NEVER/HIGH/MEDIUM tiers, budget rule, safe alternativesreferences/sound-human.md- AI-tell lexicon and structures, Voice Card specreferences/copy-craft.md- start-with-them, pain math, so-what chain, proof linesreferences/review-template.md- review layout for a conversationreferences/lead-variables.md- every lead variable, which ones are safe in copy, the signature and fallbacks
What ships with it
8 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.
- 9d ago Changed · -87 lines · -35 tokens per session e9f778fc0a9c
- 2mo ago First seen · 263 lines · 96 tokens per session scan A e15e55b728cd
email-review 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 4,409 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-review compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| email-reviewKen-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 |