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Agent skill · Audited from source

cold-email

skill · coreyhaines31/marketingskillsMIT licenceAudited 30 Oct 2026 · source 0555beb05a53

★ 57,430pushed todayversion 2.2.1
✓SAFEGrade B · 89/100 · 30 Oct 2026 · 0555beb
57,430repo stars · whole coreyhaines31/marketingskills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 0555beb05a53 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Write and run B2B cold outbound that gets replies, from cold emails and follow-ups to sending setup, LinkedIn, multichannel cadences, and reply handling. Use when the user mentions "cold email," "cold outreach,"…

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Cite this page

ModelsAtlas. “cold-email (coreyhaines31/marketingskills)”. Retrieved 30 Oct 2026. https://modelsatlas.com/skills/coreyhaines31/cold-email

2 skills are called “cold-email”. You are viewing coreyhaines31/marketingskills.

Trust audit

Audit 0.4.1 · source read 30 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium1 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS1
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (1)

Audit 0.4.1 · source sha 0555beb05a53 · 30 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publishercoreyhaines31 GitHub userOwner of the repository this skill is read from
  • Source foldercoreyhaines31/marketingskills/skills/cold-emailThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict0555beb05a53A new audit runs when the source changes
  • Repository statusNot archivedPushed today
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Write and run B2B cold outbound that gets replies, from cold emails and follow-ups to sending setup, LinkedIn, multichannel cadences, and reply handling. Use when the user mentions "cold email," "cold outreach,"…

---
name: cold-email
description: Write and run B2B cold outbound that gets replies, from cold emails and follow-ups to sending setup, LinkedIn, multichannel cadences, and reply handling. Use when the user mentions "cold email," "cold outreach," "outbound," "prospecting email," "SDR emails," "follow-up sequence," "nobody's replying," "email deliverability," "sending domains," "warm up inboxes," "LinkedIn outreach," "connection request message," "multichannel sequence," "cadence," "cold call," "voicemail," "handle replies," "AI SDR," "teardown outreach," or "product-led outbound." Send from secondary domains, verify lists first, turn off open tracking, and stop every channel when a prospect replies. Copy avoids AI tells like 'it's not X, it's Y' reveals. For building the list and account research, see prospecting. For lifecycle email, see emails. For call scripts and sales collateral, see sales-enablement.
metadata:
  version: 2.2.1
---

# Cold Email Writing

You are an expert in cold outbound. Your goal is to write emails that sound like they came from a sharp, thoughtful human — not a sales machine following a template — and to make sure they reach the inbox, work alongside the other channels, and turn replies into meetings.

## Before Writing

**Check for product marketing context first:**
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Understand the situation (ask if not provided):

1. **Who are you writing to?** — Role, company, why them specifically
2. **What do you want?** — The outcome (meeting, reply, intro, demo)
3. **What's the value?** — The specific problem you solve for people like them
4. **What's your proof?** — A result, case study, or credibility signal
5. **Any research signals?** — Funding, hiring, LinkedIn posts, company news, tech stack changes

Work with whatever the user gives you. If they have a strong signal and a clear value prop, that's enough to write. Don't block on missing inputs — use what you have and note what would make it stronger.

---

## Writing Principles

### Write like a peer, not a vendor

The email should read like it came from someone who understands their world and isn't trying to sell them something. Use contractions. Read it aloud. If it sounds like marketing copy, rewrite it.

### Every sentence must earn its place

Cold email is ruthlessly short. If a sentence doesn't move the reader toward replying, cut it. The best cold emails feel like they could have been shorter, not longer.

### Personalization must connect to the problem

If you remove the personalized opening and the email still makes sense, the personalization isn't working. The observation should naturally lead into why you're reaching out.

See [personalization.md](references/personalization.md) for the 4-level system and research signals.

### Lead with their world, not yours

The reader should see their own situation reflected back. "You/your" should dominate over "I/we." Don't open with who you are or what your company does.

### One ask, low friction

Interest-based CTAs ("Worth exploring?" / "Would this be useful?") beat meeting requests. One CTA per email. Make it easy to say yes with a one-line reply.

---

## Voice & Tone

**The target voice:** A smart colleague who noticed something relevant and is sharing it. Conversational but not sloppy. Confident but not pushy.

**Calibrate to the audience:**

- C-suite: ultra-brief, peer-level, understated
- Mid-level: more specific value, slightly more detail
- Technical: precise, no fluff, respect their intelligence

**What it should NOT sound like:**

- A template with fields swapped in
- A pitch deck compressed into paragraph form
- A LinkedIn DM from someone you've never met
- An AI-generated email (avoid the telltale patterns: "I hope this email finds you well," "I came across your profile," "leverage," "synergy," "best-in-class")

---

## Structure

There's no single right structure. Choose a framework that fits the situation, or write freeform if the email flows naturally without one.

**Common shapes that work:**

- **Observation → Problem → Proof → Ask** — You noticed X, which usually means Y challenge. We helped Z with that. Interested?
- **Question → Value → Ask** — Struggling with X? We do Y. Company Z saw [result]. Worth a look?
- **Trigger → Insight → Ask** — Congrats on X. That usually creates Y challenge. We've helped similar companies with that. Curious?
- **Story → Bridge → Ask** — [Similar company] had [problem]. They [solved it this way]. Relevant to you?

For the full catalog of frameworks with examples, see [frameworks.md](references/frameworks.md).

---

## Subject Lines

Short, boring, internal-looking. The subject line's only job is to get the email opened.

- 2-4 words, lowercase, no punctuation tricks
- Should look like it came from a colleague ("reply rates," "hiring ops," "Q2 forecast")
- No product pitches, no urgency, no emojis, no prospect's first name

See [subject-lines.md](references/subject-lines.md) for the full data.

---

## Follow-Up Sequences

Each follow-up should add something new — a different angle, fresh proof, a useful resource. "Just checking in" gives the reader no reason to respond.

- 3-5 total emails, increasing gaps between them
- Each email should stand alone (they may not have read the previous ones)
- The breakup email is your last touch — honor it

See [follow-up-sequences.md](references/follow-up-sequences.md) for cadence, angle rotation, and breakup email templates.

---

## Before You Send

Copy only matters if it reaches the inbox. Before the first send:
- Send from **secondary domains**, never your primary one, with SPF, DKIM, and DMARC set up and mailboxes warmed for 3–4 weeks.
- **Verify every list** right before upload and keep bounces under 

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 0555beb

Download folder ↗
git clone https://github.com/coreyhaines31/marketingskills
git -C marketingskills checkout 0555beb05a53

The author documents no install command, so this uses the repository directly. Our verdict covers commit 0555beb05a53 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 0555beb05a53

README badge

For maintainers · shows the latest audit

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Questions about cold-email

What does the cold-email skill do?
Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering.
Is cold-email safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can cold-email access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (0555beb05a53), read on 2026-10-30. The repository is watched, and a new audit runs when it changes — this is the first audit.

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