email-sequence

email-sequence is a cursor rule for Cursor from rajitsaha/100xprism. It costs 30 tokens per session (1,833 once invoked), scanned A, original, MIT.

A plan for sending a connected series of emails, such as welcome, onboarding, educational, sales, or re-engagement messages.

In plain words
What is it for?
Use it to create or improve nurture campaigns, lifecycle emails, onboarding sequences, and post-purchase communication.
Why use it?
It helps keep each email focused, relevant, and pointed toward a clear next step instead of sending unrelated messages.

Cursor rule for Cursor

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.

agentmods
npx agentmods add rules/rajitsaha/100xprism/email-sequence
Clone the repo
git clone --depth 1 https://github.com/rajitsaha/100xprism

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 email-sequence

README.md
[![agentmods](https://agentmods.dev/badge/rules/rajitsaha/100xprism/email-sequence.svg)](https://agentmods.dev/rules/rajitsaha/100xprism/email-sequence)
Your own site
<a href="https://agentmods.dev/rules/rajitsaha/100xprism/email-sequence"><img src="https://agentmods.dev/badge/rules/rajitsaha/100xprism/email-sequence.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,833 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00030 $0.01833
Opus 5 $0.00015 $0.00916
Sonnet 5 $0.00006 $0.00367
Haiku 4.5 $0.00003 $0.00183

Measured yesterday against content hash 62c518fc7007, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

email-sequence 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 yesterday.

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/rules/email-sequence.mdc · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Email Sequence Design

Initial Assessment

Product context: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it first and tailor output to it; only ask for what it doesn't cover.

Establish:

  1. Sequence Type — welcome/onboarding, lead nurture, re-engagement, post-purchase, event-based, educational, or sales
  2. Audience Context — who they are, what triggered them into this sequence, what they already know/believe, current relationship with you
  3. Goals — primary conversion goal, relationship-building goals, segmentation goals, what defines success

Core Principles

1. One Email, One Job

One primary purpose and one main CTA per email — don't try to do everything.

2. Value Before Ask

Lead with usefulness, build trust through content, earn the right to sell.

3. Relevance Over Volume

Fewer, better emails win. Segment for relevance. Quality > frequency.

4. Clear Path Forward

Every email moves them somewhere. Links should do something useful. Make next steps obvious.


Email Sequence Strategy

Sequence Length

Welcome 3-7 emails; lead nurture 5-10; onboarding 5-10; re-engagement 3-5 — scaled by sales cycle length, product complexity, and relationship stage.

Timing/Delays

Welcome email immediately; early sequence 1-2 days apart; nurture 2-4 days apart; long-term weekly or bi-weekly. B2B: avoid weekends. B2C: test weekends. Send at local time.

Subject Line Strategy

Clear > clever. Specific > vague. Benefit or curiosity-driven. 40-60 characters ideal. Test emoji (they're polarizing).

Patterns that work:

  • Question: "Still struggling with X?"
  • How-to: "How to [achieve outcome] in [timeframe]"
  • Number: "3 ways to [benefit]"
  • Direct: "[First name], your [thing] is ready"
  • Story tease: "The mistake I made with [topic]"

Preview Text

Extends the subject line, ~90-140 characters. Don't repeat the subject — complete the thought or add intrigue.

Read the full file on GitHub · 207 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. yesterday First seen · 207 lines · 30 tokens per session scan A 62c518fc7007

Subscribe to this mod's changes

email-sequence is a cursor rule published in the GitHub repository rajitsaha/100xprism (10 stars, last pushed 4d ago), licensed MIT. It adds 30 tokens to every session and 1,833 once invoked, about $0.0002 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.