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.
git clone --depth 1 https://github.com/build-with-dhiraj/ai-workflow-framework-portability-kitnpx agentmods add skills/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-ecommerceWrote 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.
[](https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-ecommerce)<a href="https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-ecommerce"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/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.
<a href="https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-ecommerce"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-ecommerce.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00089 | $0.02548 |
| Opus 5 | $0.00044 | $0.01274 |
| Sonnet 5 | $0.00018 | $0.00510 |
| Haiku 4.5 | $0.00009 | $0.00255 |
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 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.
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.
This is a copy
94% identical to seo-ecommerce — 33 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.
How it starts
The opening of the file, as written. The whole thing — 342 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)
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.
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.
- 11d ago First seen · 342 lines · 89 tokens per session scan A 05cdf2a593de
seo-ecommerce is a skill published in the GitHub repository build-with-dhiraj/ai-workflow-framework-portability-kit (4 stars, last pushed 29d ago), licensed MIT. It adds 89 tokens to every session and 2,548 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to seo-ecommerce, differing in 33 lines, and is treated as a copy.
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