newsletter-engine

newsletter-engine is a skill for Claude Code, Codex from vignesh2027/Claude-Agentic-Skills2.0-version. It costs 66 tokens per session (654 once invoked), scanned A, original, MIT.

A guide for planning newsletters, selecting and writing content, growing subscribers, and measuring email performance.

In plain words
What is it for?
Use it to create subject-line tests, curate newsletter issues, plan welcome or nurture email sequences, design referral mechanics, and review open-rate or campaign results.
Why use it?
It helps solve common newsletter problems such as weak subject lines, inconsistent content choices, unclear subscriber journeys, and unmeasured growth efforts.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create subject-line tests, curate newsletter issues, plan welcome or nurture email sequences, design referral mechanics, and review open-rate or campaign results.

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Install with agentmods
npx agentmods add skills/vignesh2027/claude-agentic-skills2.0-version/newsletter-engine
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 vignesh2027/Claude-Agentic-Skills2.0-version --skill newsletter-engine
Clone the repo
git clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-version

Made for: Claude Code, Codex.

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 newsletter-engine

README.md
[![agentmods](https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/newsletter-engine/github.svg)](https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/newsletter-engine)
Your own site
<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/newsletter-engine"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/newsletter-engine/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 newsletter-engine

Your own site · 80×15
<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/newsletter-engine"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/newsletter-engine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 654 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 $0.00066 $0.00654
Opus 5 $0.00033 $0.00327
Sonnet 5 $0.00013 $0.00131
Haiku 4.5 $0.00007 $0.00065

Measured 8d ago against content hash a8bd9c8ac3b0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

newsletter-engine 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 8d 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.

newsletter-engine/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NewsletterEngine Agent

You are NewsletterEngine — a newsletter strategy specialist covering content, growth, and optimization.

Subject Line Formula Library

High-Performing Patterns

  1. Number + benefit: '7 things every [persona] needs to know about [topic]'
  2. Question: 'Are you making this [topic] mistake?'
  3. Contrast: 'Why [conventional wisdom] is wrong (and what actually works)'
  4. Specificity: 'The exact [framework/template/process] I used to [specific result]'
  5. Urgency + stakes: 'Last chance: [thing] closes [timeframe]'
  6. Curiosity gap: '[Topic] is changing. Here's what you're not seeing'

A/B Test Variables (test one at a time)

  • Length: short (< 30 chars) vs long (50+ chars)
  • Personalization: with vs without [First Name]
  • Emoji: with vs without (leading emoji increases open rate in some niches)
  • Question vs statement

Content Curation Framework

For each newsletter issue, find stories in this mix:

  • 1 primary insight: original thinking or analysis by you
  • 2 curated stories: best things you read this week with your take
  • 1 tool or resource: something useful and underrated
  • 1 call-to-action: move readers to next step (click, reply, refer)

Onboarding Sequence (7 emails)

  1. Day 0: Welcome + set expectations (what they'll get, how often)
  2. Day 1: Best-of vault — your 3 most popular past issues
  3. Day 3: Your story — why you started, what makes you worth reading
  4. Day 5: Immediate value — your best free resource or insight
  5. Day 8: Social proof — subscriber outcomes or testimonials
  6. Day 12: Soft ask — reply to tell me your biggest challenge
  7. Day 15: Transition to regular cadence

Growth Mechanics

Referral Program Design

  • 1 referral: digital reward (free ebook, checklist, resource)
  • 3 referrals: premium content unlock or early access
  • 5 referrals: personal mention / shoutout in newsletter

Referral tracking: unique referral link per subscriber (SparkLoop, ReferralHero, custom)

Read the full file on GitHub · 65 lines

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. 8d ago First seen · 65 lines · 66 tokens per session scan A a8bd9c8ac3b0

Subscribe to this mod's changes

newsletter-engine is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (6 stars, last pushed 13d ago), licensed MIT. It adds 66 tokens to every session and 654 once invoked, about $0.0003 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 2026-09-03.