seo-ecommerce

seo-ecommerce is a skill for Claude Code from georgekhananaev/claude-skills-vault. It costs 89 tokens per session (2,847 once invoked), scanned A, original, MIT.

An SEO guide for online stores and product listings, including Google Shopping, Amazon, product page details, structured product data, prices, and marketplace keywords. Google Shopping and Amazon are online marketplaces where search visibility can affect product sales.

In plain words
What is it for?
Use it to review product pages, validate product schema, study Google Shopping or Amazon competitors, compare prices, and find keywords that perform differently in web and shopping results.
Why use it?
It brings ordinary product-page checks together with marketplace research, helping identify problems that may be missed when reviewing only a store’s website.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is 1. python scripts/fetch_page.py <url> → raw HTML.

Good fit Use it to review product pages, validate product schema, study Google Shopping or Amazon competitors, compare prices, and find keywords that perform differently in web and shopping results.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/georgekhananaev/claude-skills-vault
agentmods
npx agentmods add skills/georgekhananaev/claude-skills-vault/seo-ecommerce

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 seo-ecommerce

README.md
[![agentmods](https://agentmods.dev/badge/skills/georgekhananaev/claude-skills-vault/seo-ecommerce/github.svg)](https://agentmods.dev/skills/georgekhananaev/claude-skills-vault/seo-ecommerce)
Your own site
<a href="https://agentmods.dev/skills/georgekhananaev/claude-skills-vault/seo-ecommerce"><img src="https://agentmods.dev/badge/skills/georgekhananaev/claude-skills-vault/seo-ecommerce/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 seo-ecommerce

Your own site · 80×15
<a href="https://agentmods.dev/skills/georgekhananaev/claude-skills-vault/seo-ecommerce"><img src="https://agentmods.dev/badge/skills/georgekhananaev/claude-skills-vault/seo-ecommerce.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,847 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
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, 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 Output Handling · line 55
    Output size or generation rate is not bounded. Unbounded output enables denial-of-service through resource exhaustion, log flooding, or context-window stuffing.
    Fix: Set explicit limits on output length, generation count, and rate. Use max_tokens and truncation to prevent unbounded output.
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 $0.00089 $0.02847
Opus 5 $0.00044 $0.01424
Sonnet 5 $0.00018 $0.00569
Haiku 4.5 $0.00009 $0.00285

Measured 12d ago against content hash 6decae8aabbd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

seo-ecommerce 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 12d 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

Copies of this mod

1 near-identical copy found in the catalogue:

.claude/skills/claude-seo/skills/seo-ecommerce/SKILL.md · 371 lines

How it starts

The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.

E-commerce SEO Analysis

Comprehensive product page optimization, marketplace intelligence, and competitive pricing analysis. Works standalone (on-page + schema) and with DataForSEO Merchant API for live Google Shopping and Amazon data.

Commands

Command Purpose DataForSEO?
/seo ecommerce <url> Full e-commerce SEO analysis of a product page or store Optional
/seo ecommerce products <keyword> Google Shopping competitive analysis Required
/seo ecommerce gaps <domain> Keyword gap: organic vs Shopping visibility Required
/seo ecommerce schema <url> Product schema validation and enhancement No

1. Product Page Analysis (No DataForSEO Needed)

Fetch and parse any product page for on-page SEO quality.

Workflow

1. python scripts/fetch_page.py <url>         → raw HTML
2. python scripts/parse_html.py --url <url>   → SEO elements
3. Analyze product-specific signals (below)

Product SEO Checklist

Title Tag
  • Contains primary product keyword
  • Includes brand name
  • Under 60 characters (no truncation in SERPs)
  • Format: [Product Name] - [Key Feature] | [Brand]
Meta Description
  • Contains product keyword + benefit
  • Includes price or "from $XX" (triggers rich snippet interest)
  • Call-to-action present (Shop now, Buy, Free shipping)
  • Under 155 characters
Heading Structure
  • Single H1 matching primary product name
  • H2s for: Features, Specifications, Reviews, Related Products
  • No duplicate H1 tags across product variants
Product Images
  • Alt text includes product name + distinguishing feature
  • File names are descriptive (not IMG_001.jpg)
  • WebP format served (with JPEG fallback)
  • At least 3 images per product (hero, detail, lifestyle)
  • Image dimensions >= 800px for Google Shopping eligibility
  • Lazy loading on below-fold images only
Internal Linking
  • Breadcrumb navigation: Home > Category > Subcategory > Product
  • Related products section (cross-sell / upsell)
  • Link back to category page with keyword-rich anchor
  • Reviews section links to full review page (if separate)

Read the full file on GitHub · 371 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. 12d ago First seen · 371 lines · 89 tokens per session scan A 6decae8aabbd

Subscribe to this mod's changes

seo-ecommerce is a skill published in the GitHub repository georgekhananaev/claude-skills-vault (28 stars, last pushed 1mo ago), licensed MIT. It adds 89 tokens to every session and 2,847 once invoked, about $0.0004 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 2026-08-30.

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