Guidance for writing business-to-business cold emails and follow-up messages. Cold email means contacting potential customers who have not asked to hear from you.

Planning outreach goals, identifying an audience, writing email sequences, and choosing concise calls to action based on available information.

It helps avoid generic outreach that lacks evidence, relevance, a clear next step, or attention to sending rules. It also keeps uncertain claims clearly marked.

cold-email — Skill for Claude Code by iamwaqargulzar

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 iamwaqargulzar/Marketing-Agent-OS --skill cold-email

Clone the repo

git clone --depth 1 https://github.com/iamwaqargulzar/Marketing-Agent-OS

Made for: Claude Code.

Or install marketing-agent-os, the plugin that ships this one along with the rest of its 175 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/iamwaqargulzar/marketing-agent-os/cold-email/github.svg)](https://agentmods.dev/skills/iamwaqargulzar/marketing-agent-os/cold-email)

Your own site

<a href="https://agentmods.dev/skills/iamwaqargulzar/marketing-agent-os/cold-email"><img src="https://agentmods.dev/badge/skills/iamwaqargulzar/marketing-agent-os/cold-email/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/iamwaqargulzar/marketing-agent-os/cold-email"><img src="https://agentmods.dev/badge/skills/iamwaqargulzar/marketing-agent-os/cold-email.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 897 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 61% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00052	$0.00897
Opus 5.5	$0.00021	$0.00359
Sonnet 5.5	$0.00010	$0.00179
Haiku 4.5	$0.00005	$0.00090

Measured 22d ago against content hash 8ea27ac7ebe2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cold-email 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 22d 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.

Origin

This is a copy

61% identical to impeccable — 319 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/cold-email/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cold Email

Quick Start

Use this skill for cold email. Start from the user’s concrete objective and available evidence; do not substitute generic marketing advice for task-specific analysis.

Skill Contract

Reads: user-provided context; relevant project files; .agents/product-marketing.md when present; approved public or connected data sources.
Writes: recommendations and artifacts in the response by default. Persistent file/account changes require explicit request or authorization.
Evidence: label consequential claims as measured, user-provided, calculated, estimated, or proxy. Never upgrade uncertainty silently.
Side effects: do not publish, send, spend, delete, mutate accounts, or persist registry truth without user authorization.
Freshness: verify current platform rules, search eligibility, ad policies, model/tool capabilities, laws, pricing, and other time-sensitive claims before acting.

Instructions

Define the exact cold email objective, audience/scope, constraints and success metric before recommending action.
Load shared product-marketing context when it materially changes the answer; ask only for missing facts that block a decision.
Collect the minimum evidence needed for cold email. Distinguish direct observations from assumptions and proxies.
Execute the cold email analysis or artifact using the domain checklist below; prefer specific outputs over generic best-practice lists.
Prioritize actions by impact, confidence, effort and dependency. Identify what would falsify important assumptions.
For external side effects, publishing, sending, spend changes, account changes or persistent writes, obtain authorization first.
Finish with decision-ready output, evidence labels, open loops, and no more than three next-best skills.
Use specific, sourced relevance and a low-friction next action. Remove formulaic praise, fake familiarity, stock openers, and repeated template shapes; do not manufacture a relationship, reply thread, or success evidence.

Read the full file on GitHub · 81 lines

Files

What ships with it

5 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.

22d ago Changed · +4 lines · +21 tokens per session 8ea27ac7ebe2
1mo ago Changed · +1 lines 702f8e95afb0
2mo ago First seen · 76 lines · 31 tokens per session scan A 0cda2bb9532e

Subscribe to this mod's changes

cold-email is a skill published in the GitHub repository iamwaqargulzar/Marketing-Agent-OS (8 stars, last pushed 3d ago), licensed Apache-2.0. It adds 52 tokens to every session and 897 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 61% identical to impeccable, differing in 319 lines, and is treated as a copy.

Claude Code Marketing and SEO Writing and docs aeo agent-skills ai-agents amp answer-engine-optimization

cold-email next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
cold-emailiamwaqargulzar/Marketing-Agent-OS	Skill	8	3d ago	Apache-2.0	A	52	Claude Code
ansvisor-aeo-coach-standaloneansvisor/ansvisor	Skill	232	yesterday	MIT	A	148	Claude Code, Codex
aeroCanonry/canonry	Skill	198	yesterday	MIT	A	93	Claude Code
refreshansvisor/ansvisor	Skill	232	yesterday	MIT	A	17	Claude Code, Codex
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seo-vertical-detectHainrixz/claude-seo-ai	Skill	82	13d ago	MIT	A	71	Claude Code
mcp-geoAKzar1el/mcp-geo	Skill	40	yesterday	MIT	A	42	Claude Code