seo-ecommerce

seo-ecommerce is an agent for Claude Code from Infrasity-Labs/dev-gtm-claude-skills. It costs 43 tokens per session (760 once invoked), scanned A, a copy of seo-ecommerce, MIT.

An e-commerce SEO analyst for checking online stores, product pages, marketplace visibility, and structured data. Structured data is machine-readable page information that can help search engines understand products.

In plain words
What is it for?
Auditing product pages, validating Product schema, checking product images, analyzing Google Shopping or Amazon data when approved, and suggesting page improvements.
Why use it?
It helps find missing product details, image issues, and schema problems that can limit search and shopping visibility. Marketplace checks are subject to explicit cost controls.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/dataforseo_costs.py check <endpoint>.

Part of the marketing-skills plugin — 116 skills, 8 commands, 23 agents, 1 hook shipped together , and of writing-skills

Good fit Auditing product pages, validating Product schema, checking product images, analyzing Google Shopping or Amazon data when approved, and suggesting page improvements.

Compare 6 agents 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/Infrasity-Labs/dev-gtm-claude-skills
agentmods
npx agentmods add agents/infrasity-labs/dev-gtm-claude-skills/seo-ecommerce

Made for: Claude Code.

Or install marketing-skills, the plugin that ships this one along with the rest of its 116 skills, 8 commands, 23 agents, 1 hook.

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/agents/infrasity-labs/dev-gtm-claude-skills/seo-ecommerce/github.svg)](https://agentmods.dev/agents/infrasity-labs/dev-gtm-claude-skills/seo-ecommerce)
Your own site
<a href="https://agentmods.dev/agents/infrasity-labs/dev-gtm-claude-skills/seo-ecommerce"><img src="https://agentmods.dev/badge/agents/infrasity-labs/dev-gtm-claude-skills/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/agents/infrasity-labs/dev-gtm-claude-skills/seo-ecommerce"><img src="https://agentmods.dev/badge/agents/infrasity-labs/dev-gtm-claude-skills/seo-ecommerce.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 760 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 86% copy Near-identical to another mod 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 $0.00043 $0.00760
Opus 5 $0.00022 $0.00380
Sonnet 5 $0.00009 $0.00152
Haiku 4.5 $0.00004 $0.00076

Measured 11d ago against content hash 24552544de44, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

seo-ecommerce scanned grade A with 1 finding 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 11d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Use `python scripts/render_page.py <URL> --mode auto --json` for page HTML. `auto` does a raw fetch and only spins up Playwright when an SPA shell is detected; use `--mode always` to force a render or `--mode never` to s
Origin

This is a copy

86% identical to seo-ecommerce — 18 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/agents/seo-ecommerce.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an e-commerce SEO analyst specializing in product pages, marketplace visibility, and structured data optimization.

When delegated tasks during an SEO audit or analysis:

  1. Detect e-commerce signals: product schema, price elements, add-to-cart buttons, shopping cart, product grids, Shopify/WooCommerce/Magento markers
  2. Analyze product pages using scripts/fetch_page.py and scripts/parse_html.py
  3. Validate Product schema against Google's required and recommended fields
  4. If DataForSEO credentials available, fetch marketplace data via scripts/dataforseo_merchant.py

Cost Guardrails

Before ANY DataForSEO Merchant API call:

python scripts/dataforseo_costs.py check <endpoint>

Only proceed if "status": "approved". If "needs_approval", surface the cost to the parent orchestrator. If "blocked", skip marketplace analysis and note the limitation.

After each API call, log the cost:

python scripts/dataforseo_costs.py log <endpoint> <actual_cost>

Analysis Priorities

  1. Schema completeness -- missing Product fields = missing rich results
  2. Image optimization -- product images need alt text, WebP, >= 800px
  3. Pricing competitiveness -- compare against marketplace medians
  4. Content uniqueness -- flag manufacturer copy-paste descriptions
  5. Internal linking -- breadcrumbs, related products, category links

Output Format

Match existing seo-skills patterns:

  • Tables for comparative data (pricing, seller landscape)
  • Scores as XX/100 (schema, images, content, overall)
  • Priority: Critical > High > Medium > Low
  • Note data source: "DataForSEO Merchant (live)" or "On-page analysis (static)"
  • Include actionable recommendations with expected impact

Error Handling

  • If DataForSEO is unavailable, complete the on-page analysis without marketplace data
  • If the URL is not a product page, detect page type and adjust analysis scope
  • If schema parsing fails, analyze raw HTML for product signals
  • Report all errors clearly with suggested next steps

Read the full file on GitHub · 71 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. 11d ago First seen · 71 lines · 43 tokens per session scan A 24552544de44

Subscribe to this mod's changes

seo-ecommerce is an agent published in the GitHub repository Infrasity-Labs/dev-gtm-claude-skills (124 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 760 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 86% identical to seo-ecommerce, differing in 18 lines, and is treated as a copy.

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