product-description-generator

product-description-generator is a skill for Claude Code, Codex from nexscope-ai/eCommerce-Skills. It costs 126 tokens per session (3,411 once invoked), scanned A, original, MIT.

An e-commerce copywriting tool that creates or improves product titles, bullet points, descriptions, and search terms for major selling platforms.

In plain words
What is it for?
Use it to write new listings or improve existing ones for Amazon, eBay, Walmart, Shopify, and other platforms, including search titles, feature bullets, descriptions, and backend keywords.
Why use it?
It helps sellers produce listing copy that fits each platform’s format and limits, while using product details and optional competitor research.

Skill for Claude CodeCodex

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

Good fit Use it to write new listings or improve existing ones for Amazon, eBay, Walmart, Shopify, and other platforms, including search titles, feature bullets, descriptions, and backend keywords.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nexscope-ai/ecommerce-skills/product-description-generator
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 nexscope-ai/eCommerce-Skills --skill product-description-generator
Clone the repo
git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills

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 product-description-generator

README.md
[![agentmods](https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/product-description-generator/github.svg)](https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/product-description-generator)
Your own site
<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/product-description-generator"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/product-description-generator/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 product-description-generator

Your own site · 80×15
<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/product-description-generator"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/product-description-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,411 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. Third-party audits
  • Socket pass 10 Apr 2026
  • Snyk warn 10 Apr 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 14
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 19
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
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 5.1 $0.00126 $0.03411
Opus 5 $0.00063 $0.01706
Sonnet 5 $0.00025 $0.00682
Haiku 4.5 $0.00013 $0.00341

Measured 8d ago against content hash 2c868d8c6d43, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

product-description-generator 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 8d 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.

product-description-generator/SKILL.md · 399 lines

How it starts

The opening of the file, as written. The whole thing — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Description Generator 📝

Generate platform-optimized product copy — titles, bullet points, descriptions, and backend keywords — for any major e-commerce platform. No API key required.

Installation

npx skills add nexscope-ai/eCommerce-Skills --skill product-description-generator -g

For Amazon listings, use our dedicated skill with Cosmo algorithm optimization:

npx skills add nexscope-ai/Amazon-Skills --skill amazon-listing-optimization -g

See: amazon-listing-optimization

Two Modes

Mode When to Use Input
A — Create Writing a new listing Product specs + optional competitor URLs
B — Optimize Improving existing listing Current listing or URL + optional competitor URLs

Both modes support competitor analysis — just include competitor URLs to enable it.

Supported Platforms

Platform Output Components
Amazon Title (≤200) + 5 Bullets (≤500 each) + Description (≤2000) + Backend (≤250 bytes)
eBay Title (≤80) + HTML Description
Walmart Title (≤75) + Short Desc (≤150) + 10 Features + Long Desc
Shopify/DTC SEO Title (≤60) + Meta Desc (≤160) + Product Description
Etsy Title (≤140) + Description + 13 Tags (≤20 each)
TikTok Shop Title (≤255) + Description (≤1000)
Lazada/Shopee Title (≤120) + 5 Highlights + Description

Usage Examples

Mode A — Create

Create a listing for my yoga mat on eBay UK.
Competitors: https://www.ebay.co.uk/itm/123456789, https://www.ebay.co.uk/itm/987654321
My product: 6mm TPE, non-slip, carrying strap included. Brand: ZenMat. Tone: Friendly.
Platform: Etsy. Product: hand-poured soy candle, lavender scent, 8oz glass jar, 40-hour burn time.
Target audience: gift buyers. Tone: Luxury.

Mode B — Optimize

Optimize this Shopify listing: https://mystore.com/products/portable-blender
Beat these competitors: https://amazon.com/dp/B09V3KXJPB, https://walmart.com/ip/123456

Read the full file on GitHub · 399 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. 8d ago First seen · 399 lines · 126 tokens per session scan A 2c868d8c6d43

Subscribe to this mod's changes

product-description-generator is a skill published in the GitHub repository nexscope-ai/eCommerce-Skills (914 stars, last pushed 17d ago), licensed MIT. It adds 126 tokens to every session and 3,411 once invoked, about $0.0006 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.

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