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.
npx skills add prajapatimehul/shopify-cowork --skill store-analyzergit clone --depth 1 https://github.com/prajapatimehul/shopify-coworkWrote 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/prajapatimehul/shopify-cowork/store-analyzer)<a href="https://agentmods.dev/skills/prajapatimehul/shopify-cowork/store-analyzer"><img src="https://agentmods.dev/badge/skills/prajapatimehul/shopify-cowork/store-analyzer/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/prajapatimehul/shopify-cowork/store-analyzer"><img src="https://agentmods.dev/badge/skills/prajapatimehul/shopify-cowork/store-analyzer.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 | $0.00093 | $0.04567 |
| Opus 5 | $0.00046 | $0.02284 |
| Sonnet 5 | $0.00019 | $0.00913 |
| Haiku 4.5 | $0.00009 | $0.00457 |
Grade A, and why
store-analyzer 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Fetch using any available method (HTTP requests, browser, CLI curl): How it starts
The opening of the file, as written. The whole thing — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Store Analyzer
The most comprehensive public-data Shopify store audit. Built on what 50+ real store reviewers actually check (Shopify Community research, March 2026) plus current Google, Bing, and Shopify guidance.
The skill reasons through eight questions in order:
- Would a first-time visitor trust this store enough to buy? (Trust & Credibility)
- Does the store convert browsers into buyers? (CRO & Conversion)
- Is the store fast enough to keep visitors? (Page Speed)
- Can search engines crawl and understand the store? (Technical SEO)
- Do product pages rank and convert from search? (Product-Page SEO)
- Can Google create rich ecommerce results from the pages? (Structured Data)
- Can an AI agent answer common shopping questions from the content? (AEO)
- Is the content strong enough to be cited, not just indexed? (GEO)
Eight Audit Modules
| Module | What it measures | Reference |
|---|---|---|
| Trust & Credibility | Logo, favicon, about page, contact completeness, branded email, footer, payment icons, policy transparency, social links | trust-ux-checks.md §1-4 |
| CRO & Conversion | Hero CTA, cart type, cross-sells, shipping bar, size charts, trust badges near ATC, express checkout, review widget, email capture, urgency elements | cro-checks.md §1-5 |
| Page Speed | Core Web Vitals (LCP, CLS, FCP), mobile performance score, third-party script count, image loading strategy | trust-ux-checks.md §5 |
| Technical SEO | Crawlability, robots, sitemap, canonicals, internal linking, crawl efficiency | seo-checks.md §3-4, 8-9 |
| Product-Page SEO | Titles, meta descriptions, headings, content depth, image coverage | seo-checks.md §1-2, 5-7 |
| Structured Data & Merchant Readiness | Product/Offer schema, merchant listing fields, review markup, Organization, identifiers | seo-checks.md §1 + catalog-checks.md |
| AEO Readiness | FAQ content, policy/shipping/returns clarity, product specs, Q&A format, answer blocks | aeo-checks.md |
| GEO Citation Readiness | AI bot access, unique content, brand identity, trust signals, content extractability | geo-checks.md |
What ships with it
11 files 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.
- assets/report-template.md 3.6 KB
- evals/evals.json 2.3 KB
- references/aeo-checks.md 11 KB
- references/catalog-checks.md 8.3 KB
- references/cro-checks.md 6.0 KB
- references/geo-checks.md 14 KB
- references/seo-checks.md 16 KB
- references/testing.md 6.5 KB
- references/troubleshooting.md 4.6 KB
- references/trust-ux-checks.md 7.0 KB
- scripts/check_report.py 13 KB runs code
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.
- 12d ago First seen · 314 lines · 93 tokens per session scan A a5bbe63faf98
store-analyzer is a skill published in the GitHub repository prajapatimehul/shopify-cowork (15 stars, last pushed 4mo ago), licensed MIT. It adds 93 tokens to every session and 4,567 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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