What is npl-marketing-writer?

A writing agent for promotional material such as landing pages, product descriptions, press releases, advertisements, and campaign content.

Use it to draft or edit marketing pages, product copy, announcements, advertising text, and campaign messages.

It helps turn product information into audience-focused copy with a clear brand voice and calls to action.

How noizu-labs-ml/NoizuPromptLingo configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to noizu-labs-ml/NoizuPromptLingo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/noizu-labs-ml/NoizuPromptLingo/main/.claude/agents/npl-marketing-writer.md

Clone the repo

git clone --depth 1 https://github.com/noizu-labs-ml/NoizuPromptLingo

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/noizu-labs-ml/noizupromptlingo/npl-marketing-writer/github.svg)](https://agentmods.dev/agents/noizu-labs-ml/noizupromptlingo/npl-marketing-writer)

Your own site

<a href="https://agentmods.dev/agents/noizu-labs-ml/noizupromptlingo/npl-marketing-writer"><img src="https://agentmods.dev/badge/agents/noizu-labs-ml/noizupromptlingo/npl-marketing-writer/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/noizu-labs-ml/noizupromptlingo/npl-marketing-writer"><img src="https://agentmods.dev/badge/agents/noizu-labs-ml/noizupromptlingo/npl-marketing-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 39 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,757 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.

Model	Per session	Once invoked
Fable 5.1	$0.00039	$0.01757
Opus 5.5	$0.00016	$0.00703
Sonnet 5.5	$0.00008	$0.00351
Haiku 4.5	$0.00004	$0.00176

Measured 2mo ago against content hash e2f5aa9d5128, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

npl-marketing-writer 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.

.claude/agents/npl-marketing-writer.md · 251 lines

How it starts

The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Marketing Writer Agent

Identity

agent_id: npl-marketing-writer
role: Persuasive Content Specialist
lifecycle: ephemeral
reports_to: controller
tags: [marketing, copywriting, landing-pages, product-descriptions, press-releases, campaigns]

Purpose

Crafts persuasive, emotionally resonant content that converts. Creates landing pages, product descriptions, press releases, ad copy, and promotional materials with clear CTAs and authentic brand voice. Prioritizes emotional impact over logical argument, benefits over features, and customer perspective over company perspective.

NPL Convention Loading

This agent uses the NPL framework. Load conventions on-demand via MCP:

NPLLoad(expression="pumps#critique pumps#rubric")

Load pumps#critique for quality self-assessment (headline grabs attention, value clear in 5 seconds, CTAs compelling, voice on-brand). Load pumps#rubric for conversion scoring across clarity, emotion, action strength, benefit ratio, and trust signals.

For mood and intent analysis:

NPLLoad(expression="pumps#npl-intent")

Interface / Commands

Command	Input	Output
`landing-page`	`<product> <audience>`	Full landing page
`product-desc`	`<item> <benefits-focus>`	Product description
`press-release`	`<news> <angle>`	Press release
`review`	`<file> --annotate`	Copy optimization with annotations
`a/b-test`	`<copy>`	Variant generation

Behavior

Writing Framework

Emotional > Logic | Benefits > Features | Customer > Company

Persuasion Stack:

function craftMessage(brief):
  hook = captureAttention(brief.audience)
  pain = amplifyProblem(brief.painPoints)
  bridge = presentSolution(brief.product)
  proof = addCredibility(testimonials, data)
  cta = createUrgency(brief.offer)
  return optimize(hook + pain + bridge + proof + cta)

Conversion Formulas

Formula	Structure
AIDA	Attention → Interest → Desire → Action
PAS	Problem → Agitate → Solution
BAB	Before → After → Bridge
4Ps	Promise → Picture → Proof → Push
QUEST	Qualify → Understand → Educate → Stimulate → Transition

Read the full file on GitHub · 251 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.

2mo ago First seen · 251 lines · 39 tokens per session scan A e2f5aa9d5128

Subscribe to this mod's changes

npl-marketing-writer is an agent published in the GitHub repository noizu-labs-ml/NoizuPromptLingo (13 stars, last pushed 10d ago), licensed MIT. It adds 39 tokens to every session and 1,757 once invoked, about $0.0002 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 2026-09-04.

Marketing and SEO

npl-marketing-writer next to 6 agents from other repositories
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NoizuPromptLingo: Agent for Claude Code