cold-email-deliverability

cold-email-deliverability is a skill for Cursor from bcharleson/cursor-for-gtm-demo. It costs 72 tokens per session (1,233 once invoked), scanned A, original, MIT.

Guidance for checking whether cold email is likely to reach recipients' inboxes. Cold email means unsolicited business email, and the guidance covers message format, domain authentication, and spam-filter risks.

In plain words
What is it for?
Use it to audit email-sending infrastructure, DNS authentication, message format, recipient filters, and enterprise spam gateways before a cold campaign.
Why use it?
It helps identify setup problems such as missing SPF, DKIM, or DMARC records before sending. It also points out choices that can increase filtering, such as links, images, and attachments.

Skill for Cursor

Written for Cursor: installed under .cursor/.

Good fit Use it to audit email-sending infrastructure, DNS authentication, message format, recipient filters, and enterprise spam gateways before a cold campaign.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bcharleson/cursor-for-gtm-demo/cold-email-deliverability
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 bcharleson/cursor-for-gtm-demo --skill cold-email-deliverability
Clone the repo
git clone --depth 1 https://github.com/bcharleson/cursor-for-gtm-demo

Made for: Cursor.

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 cold-email-deliverability

README.md
[![agentmods](https://agentmods.dev/badge/skills/bcharleson/cursor-for-gtm-demo/cold-email-deliverability/github.svg)](https://agentmods.dev/skills/bcharleson/cursor-for-gtm-demo/cold-email-deliverability)
Your own site
<a href="https://agentmods.dev/skills/bcharleson/cursor-for-gtm-demo/cold-email-deliverability"><img src="https://agentmods.dev/badge/skills/bcharleson/cursor-for-gtm-demo/cold-email-deliverability/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 cold-email-deliverability

Your own site · 80×15
<a href="https://agentmods.dev/skills/bcharleson/cursor-for-gtm-demo/cold-email-deliverability"><img src="https://agentmods.dev/badge/skills/bcharleson/cursor-for-gtm-demo/cold-email-deliverability.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,233 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 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 $0.00072 $0.01233
Opus 5 $0.00036 $0.00616
Sonnet 5 $0.00014 $0.00247
Haiku 4.5 $0.00007 $0.00123

Measured 11d ago against content hash 45a232ac54cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

cold-email-deliverability 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 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.

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.

.cursor/skills/cold-email-deliverability/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cold Email Deliverability

Deliverability is always top of mind. Legitimate cold outreach shares the same filtering environment as spam. Infrastructure and message format must earn inbox placement before copy or offers matter.

Agent Responsibilities

When deliverability is in scope:

  1. Audit before send — Check DNS auth, message format, and recipient-environment risks.
  2. Flag blockers immediately — Missing SPF, DKIM, or DMARC is a hard stop. Do not recommend sending until resolved.
  3. Default to safest format — Plain text, no links, no images, unless the user explicitly chooses otherwise.

Message Format Rules

Default (best practice)

  • Plain text only — No HTML templates, no rich formatting.
  • No links — URLs trigger marketing/spam heuristics. Omit unless intentionally doing so with eyes open on risk.
  • No images — Same rationale as links.
  • No attachments in initial cold touches — increases filter scrutiny.

When links or assets are intentional

If the user explicitly wants links (calendar, deck, video):

  • Acknowledge deliverability tradeoff.
  • Prefer sending the asset after a positive reply.
  • Ensure domain reputation, DNS auth, and landing pages are solid (see SEG section).

Sending-Side Infrastructure

Every sending domain or inbox — Google Workspace, Microsoft 365, or custom SMTP — must have proper DNS authentication.

Required DNS records

Record Purpose Agent action
SPF Authorizes which servers may send for the domain Verify present and includes only legitimate send sources
DKIM Cryptographic signature proving message integrity Verify signing is enabled and DNS publishes the public key
DMARC Policy for failed SPF/DKIM; reporting Verify policy exists (start with p=none for monitoring if needed, tighten over time)

If any of SPF, DKIM, or DMARC is missing or misconfigured → flag immediately. Deliverability will suffer; do not proceed as if send-ready.

Read the full file on GitHub · 141 lines

Files

What ships with it

1 file 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 · 141 lines · 72 tokens per session scan A 45a232ac54cf

Subscribe to this mod's changes

cold-email-deliverability is a skill published in the GitHub repository bcharleson/cursor-for-gtm-demo (2 stars, last pushed 2mo ago), licensed MIT. It adds 72 tokens to every session and 1,233 once invoked, about $0.0004 per session on Opus 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.

Related

Other skills, from other repositories

objection-analyzer

Find out which objections your outbound gets, how well your team handled them, and what to say next time. Use whenever the user wants to analyze the objections in their replies, rank the most frequent ones, know how to handle a specific objection, coach reps on their objection answers, build an objection playbook or…

LaGrowthMachine/gtm-system · 215 tokens

sales-nav-search-builder

Generate a precise LinkedIn Sales Navigator search URL from a natural-language ICP description — for sales prospecting, outbound outreach, lead generation, and B2B targeting. Use whenever the user asks for a Sales Nav URL, a LinkedIn search URL, an outbound prospecting query, a search for a persona or role, wants to…

LaGrowthMachine/gtm-system · 221 tokens

reply-draft-assistant

Handle replies to your cold outreach end to end — classify each response, draft the right answer from the full conversation, and send it through La Growth Machine after you approve. Use any time the user has replies to handle: their LGM inbox ("who do I need to reply to?"), a campaign's replies, or a pasted thread.…

LaGrowthMachine/gtm-system · 240 tokens

campaign-challenger

Challenge an outbound campaign copy by benchmarking it against the user's existing campaigns — what worked, what didn't, what the winners do differently — and return a concrete verdict plus prioritized fixes. Use whenever the user wants to know if a campaign or sequence is good, compare a draft to past campaigns…

LaGrowthMachine/gtm-system · 205 tokens

multichannel-campaign-builder

Generate a complete multichannel outbound campaign — a full sequence of LinkedIn and email messages — from a natural-language brief. Use whenever the user wants to write an outreach campaign, create a prospecting sequence, draft a multichannel sequence, write cold emails and LinkedIn messages, build a social-selling…

LaGrowthMachine/gtm-system · 200 tokens

cargo

Router for the Cargo CLI skill bundle — load first for anything Cargo, and whenever a task spans two Cargo domains. Explains what each skill owns, declarative workspace-as-code (cargo-cdk) vs the imperative CLI, the UUID and slug flow between skills, async polling of runs and batches, end-to-end use cases, and the…

getcargohq/cargo-skills · 160 tokens