optimize-newsletter

optimize-newsletter is a skill for Claude Code from kenneth-liao/ai-launchpad-marketplace. It costs 78 tokens per session (1,354 once invoked), scanned A, original, no licence file.

A tool that turns a newsletter draft or outline into a polished issue ready for publication.

In plain words
What is it for?
Use it to polish a draft, write from an outline, or improve the structure and wording of a newsletter.
Why use it?
It helps improve an existing issue without starting over from a blank page.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the creator-stack plugin — 21 skills, 2 agents shipped together

Good fit Use it to polish a draft, write from an outline, or improve the structure and wording of a newsletter.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kenneth-liao/ai-launchpad-marketplace/optimize-newsletter
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 kenneth-liao/ai-launchpad-marketplace --skill optimize-newsletter
Clone the repo
git clone --depth 1 https://github.com/kenneth-liao/ai-launchpad-marketplace

Made for: Claude Code.

Or install creator-stack, the plugin that ships this one along with the rest of its 21 skills, 2 agents.

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 optimize-newsletter

README.md
[![agentmods](https://agentmods.dev/badge/skills/kenneth-liao/ai-launchpad-marketplace/optimize-newsletter/github.svg)](https://agentmods.dev/skills/kenneth-liao/ai-launchpad-marketplace/optimize-newsletter)
Your own site
<a href="https://agentmods.dev/skills/kenneth-liao/ai-launchpad-marketplace/optimize-newsletter"><img src="https://agentmods.dev/badge/skills/kenneth-liao/ai-launchpad-marketplace/optimize-newsletter/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 optimize-newsletter

Your own site · 80×15
<a href="https://agentmods.dev/skills/kenneth-liao/ai-launchpad-marketplace/optimize-newsletter"><img src="https://agentmods.dev/badge/skills/kenneth-liao/ai-launchpad-marketplace/optimize-newsletter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,354 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 $0.00078 $0.01354
Opus 5.5 $0.00031 $0.00542
Sonnet 5.5 $0.00016 $0.00271
Haiku 4.5 $0.00008 $0.00135

Measured 2mo ago against content hash c061075a41a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

optimize-newsletter 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 2mo 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.

creator-stack/skills/optimize-newsletter/SKILL.md · 140 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

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. 2mo ago First seen · 140 lines · 78 tokens per session scan A c061075a41a7

Subscribe to this mod's changes

optimize-newsletter is a skill published in the GitHub repository kenneth-liao/ai-launchpad-marketplace (127 stars, last pushed 7d ago), with no licence file. It adds 78 tokens to every session and 1,354 once invoked, about $0.0003 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

optimize-newsletter compared with skills from other repositories

optimize-newsletter next to 6 skills from other repositories
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optimize-newsletterkenneth-liao/ai-launchpad-marketplaceSkill1277d agononeA78Claude Code
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playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code