email-sequence

email-sequence is a skill for Claude Code, Codex from eddiebelaval/squire. It costs 84 tokens per session (5,874 once invoked), scanned A, a copy of email-sequence, MIT.

A guide for planning social-media comments and automated direct messages to increase audience interaction.

In plain words
What is it for?
Use it to create, review, and improve comment strategies and DM automation for social-media engagement.
Why use it?
It gives structure to engagement work that can otherwise become inconsistent or difficult to evaluate.

Skill for Claude CodeCodex

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

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 skills/eddiebelaval/squire/email-sequence
Any agent
npx skills add eddiebelaval/squire --skill email-sequence
Clone the repo
git clone --depth 1 https://github.com/eddiebelaval/squire

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 email-sequence

README.md
[![agentmods](https://agentmods.dev/badge/skills/eddiebelaval/squire/email-sequence.svg)](https://agentmods.dev/skills/eddiebelaval/squire/email-sequence)
Your own site
<a href="https://agentmods.dev/skills/eddiebelaval/squire/email-sequence"><img src="https://agentmods.dev/badge/skills/eddiebelaval/squire/email-sequence.svg" alt="Measured on agentmods" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,874 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 94% 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00084 $0.05874
Opus 5 $0.00042 $0.02937
Sonnet 5 $0.00017 $0.01175
Haiku 4.5 $0.00008 $0.00587

Measured 2d ago against content hash 761425f810e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 2d 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

94% identical to email-sequence — 22 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/email-sequence/SKILL.md · 946 lines

How it starts

The opening of the file, as written. The whole thing — 946 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Core Workflows

Workflow 1: Primary Action

  1. Analyze the input and context
  2. Validate prerequisites are met
  3. Execute the core operation
  4. Verify the output meets expectations
  5. Report results

Core Principles

1. One Email, One Job

  • Each email has one primary purpose
  • 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 emails
  • Onboarding: 5-10 emails
  • Re-engagement: 3-5 emails

Depends on:

  • Sales cycle length
  • Product complexity
  • Relationship stage

Timing/Delays

  • Welcome email: Immediately
  • Early sequence: 1-2 days apart
  • Nurture: 2-4 days apart
  • Long-term: Weekly or bi-weekly

Consider:

  • B2B: Avoid weekends
  • B2C: Test weekends
  • Time zones: 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 subject line
  • Complete the thought or add intrigue

Sequence Templates

Welcome Sequence (Post-Signup)

Email 1: Welcome (Immediate)

  • Subject: Welcome to [Product] — here's your first step
  • Deliver what was promised (lead magnet, access, etc.)
  • Single next action
  • Set expectations for future emails

Email 2: Quick Win (Day 1-2)

  • Subject: Get your first [result] in 10 minutes
  • Enable small success
  • Build confidence
  • Link to helpful resource

Read the full file on GitHub · 946 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. 2d ago First seen · 946 lines · 84 tokens per session scan A 761425f810e0

Subscribe to this mod's changes

email-sequence is a skill published in the GitHub repository eddiebelaval/squire (21 stars, last pushed 20d ago), licensed MIT. It adds 84 tokens to every session and 5,874 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to email-sequence, differing in 22 lines, and is treated as a copy.

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