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 agents/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/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-ecommerce)<a href="https://agentmods.dev/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-ecommerce"><img src="https://agentmods.dev/badge/agents/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/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-ecommerce"><img src="https://agentmods.dev/badge/agents/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 | $0.00043 | $0.00548 |
| Opus 5.5 | $0.00017 | $0.00219 |
| Sonnet 5.5 | $0.00009 | $0.00110 |
| Haiku 4.5 | $0.00004 | $0.00055 |
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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 65 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:
- Detect e-commerce signals: product schema, price elements, add-to-cart buttons, shopping cart, product grids, Shopify/WooCommerce/Magento markers
- Analyze product pages using
scripts/fetch_page.pyandscripts/parse_html.py - Validate Product schema against Google's required and recommended fields
- 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
- Schema completeness -- missing Product fields = missing rich results
- Image optimization -- product images need alt text, WebP, >= 800px
- Pricing competitiveness -- compare against marketplace medians
- Content uniqueness -- flag manufacturer copy-paste descriptions
- Internal linking -- breadcrumbs, related products, category links
Output Format
Match existing claude-seo 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
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.
- 1mo ago First seen · 65 lines · 43 tokens per session scan A 00d6a8645a20
seo-ecommerce is an agent published in the GitHub repository build-with-dhiraj/ai-workflow-framework-portability-kit (5 stars, last pushed 22d ago), licensed MIT. It adds 43 tokens to every session and 548 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 2026-08-31.
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