welcome-series

welcome-series is a skill for Claude Code from cognyai/claude-code-marketing-skills. It costs 33 tokens per session (2,552 once invoked), scanned A, original, no licence file.

A tool for creating a five-email welcome sequence from a company’s website address, including subject lines, preview text, email content, and sending intervals.

In plain words
What is it for?
Preparing welcome emails for new subscribers or customers so they can be added to an email-sending service.
Why use it?
It removes the need to plan and write a complete onboarding email sequence from scratch.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Preparing welcome emails for new subscribers or customers so they can be added to an email-sending service.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cognyai/claude-code-marketing-skills/welcome-series
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 cognyai/claude-code-marketing-skills --skill welcome-series
Clone the repo
git clone --depth 1 https://github.com/cognyai/claude-code-marketing-skills

Made for: Claude Code.

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 welcome-series

README.md
[![agentmods](https://agentmods.dev/badge/skills/cognyai/claude-code-marketing-skills/welcome-series/github.svg)](https://agentmods.dev/skills/cognyai/claude-code-marketing-skills/welcome-series)
Your own site
<a href="https://agentmods.dev/skills/cognyai/claude-code-marketing-skills/welcome-series"><img src="https://agentmods.dev/badge/skills/cognyai/claude-code-marketing-skills/welcome-series/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 welcome-series

Your own site · 80×15
<a href="https://agentmods.dev/skills/cognyai/claude-code-marketing-skills/welcome-series"><img src="https://agentmods.dev/badge/skills/cognyai/claude-code-marketing-skills/welcome-series.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,552 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 unknown 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 $0.00033 $0.02552
Opus 5.5 $0.00013 $0.01021
Sonnet 5.5 $0.00007 $0.00510
Haiku 4.5 $0.00003 $0.00255

Measured 25d ago against content hash 51d5e0753d73, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

welcome-series 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 25d 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.

skills/welcome-series/SKILL.md · 172 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 25d ago Changed · +45 lines 51d5e0753d73
  2. 2mo ago First seen · 127 lines · 33 tokens per session scan A 29322130c168

Subscribe to this mod's changes

welcome-series is a skill published in the GitHub repository cognyai/claude-code-marketing-skills (114 stars, last pushed 25d ago), with no licence file. It adds 33 tokens to every session and 2,552 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.

Related

welcome-series compared with skills from other repositories

welcome-series next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
welcome-seriescognyai/claude-code-marketing-skillsSkill11425d agononeA33Claude Code
create-video-seedance-2-falgooseworks-ai/goose-skillsSkill1.3k10d agoMITA121Claude Code, Codex
meta-ad-managergooseworks-ai/goose-skillsSkill1.3k10d agoMITA108Codex
create-chatgpt-mockupgooseworks-ai/goose-skillsSkill1.3k10d agoMITA90Claude Code, Codex
run-memorygooseworks-ai/goose-skillsSkill1.3k10d agoMITA72Claude Code, Codex
company-contact-findergooseworks-ai/goose-skillsSkill1.3k10d agoMITA55Claude Code, Codex
make-content-content-briefgooseworks-ai/goose-skillsSkill1.3k10d agoMITA84Claude Code, Codex