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 PO-VINCENT/ai-shopping-audit --skill catalogreadygit clone --depth 1 https://github.com/PO-VINCENT/ai-shopping-auditWrote 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/po-vincent/ai-shopping-audit/catalogready)<a href="https://agentmods.dev/skills/po-vincent/ai-shopping-audit/catalogready"><img src="https://agentmods.dev/badge/skills/po-vincent/ai-shopping-audit/catalogready/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/po-vincent/ai-shopping-audit/catalogready"><img src="https://agentmods.dev/badge/skills/po-vincent/ai-shopping-audit/catalogready.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 | $0.00090 | $0.00808 |
| Opus 5 | $0.00045 | $0.00404 |
| Sonnet 5 | $0.00018 | $0.00162 |
| Haiku 4.5 | $0.00009 | $0.00081 |
Grade A, and why
catalogready 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.
1. Fetch the page HTML yourself (browser tool, `curl`, or an existing How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CatalogReady — AI shopping readiness audit
CatalogReady scores how ready a product page or catalog is for AI shopping assistants and drafts evidence-backed fixes. The core audit is deterministic: no API key, no account, no network beyond fetching the page you are asked to audit.
Choose the entry point
- MCP connected (tools named
catalogready_*are available): prefer them. Callcatalogready_describeonce if you need the capability map. - No MCP: use the CLI via
uvx --from catalogready-ai catalogready …(oruv run catalogready …inside this repo).
Core workflows
Audit a product page
The audit engine never fetches pages itself — you fetch, it scores.
- Fetch the page HTML yourself (browser tool,
curl, or an existing file). Note whether it is rendered DOM or raw static HTML; label which one you audited in your summary. - MCP:
catalogready_run_product_agent(url, html)— inspects, plans, and validates in one call. For a plain score,catalogready_audit_page_html(url, html). CLI:catalogready agent <url> <html_file>orcatalogready page <url> <html_file>. - Report: overall score, per-pillar breakdown, and the top 3–5 fixes with their evidence. Every finding in the result carries evidence — quote it; never add product claims of your own.
Audit a CSV catalog
MCP: catalogready_audit_catalog(catalog_path) (local path).
CLI: catalogready catalog <path>.
Discovery bundle (robots/sitemap)
When the user cares about crawler access, also fetch /robots.txt and
the sitemap, then catalogready_audit_discovery_bundle(url, html, robots_txt, sitemap_xml) (CLI: catalogready discovery).
AI visibility (is the store actually cited?)
Readiness and observed visibility are separate numbers — never blend
them. catalogready_build_visibility_prompt_pack(domain, category, market) builds timestamped observation prompts; after the user records
snapshots, catalogready_score_visibility_snapshots(snapshot_path, target_domain) scores them without calling any model.
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 · 86 lines · 90 tokens per session scan A 7c7dc69d3bac
catalogready is a skill published in the GitHub repository PO-VINCENT/ai-shopping-audit (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 90 tokens to every session and 808 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 2026-08-31.
Other skills, from other repositories
product-feed-optimizer
Use when the user asks to "optimize my Shopping feed", "fix product disapprovals", "improve product titles/attributes", or "build feed-driven PMax asset groups"; audits and rewrites the Shopping/Performance Max product feed — title/description patterns, required and recommended attributes, GTIN/availability/price…
domain-hunter
Search domains, compare prices, find promo codes, get purchase recommendations. Use when user wants to buy a domain, check domain prices, find domain deals, compare registrars, or search for .ai/.com domains.
ecommerce-seo
E-commerce SEO audit for online stores (WooCommerce, Shopify, Magento, custom). Covers the structural problems unique to commerce sites: category / product listing pages (PLP), product detail pages (PDP), faceted navigation and the crawl-budget / duplicate-content traps it creates, pagination, canonical handling for…
paid-ads-amazon
Plan and review Amazon Ads with margin-aware ACoS, product, and search-term guardrails. Use for Amazon advertising, Sponsored Products, Sponsored Brands, Sponsored Display, ASIN targeting, Amazon ACoS, or Amazon Ads performance exports.
seo-content-collection-page
Optimize e-commerce collection, category, and product listing pages (PLPs) for Google and AI assistants. Input: a collection or category page (Shopify, WooCommerce, Magento, BigCommerce, PrestaShop, or custom). Output: a bottom-of-page SEO text block, faceted-navigation and filter URL control, pagination canonicals…
seo-content-product-page
Optimize e-commerce product pages (PDPs) for Google and for AI assistants that now recommend products directly. Input: a product page or description (Shopify, WooCommerce, Magento, BigCommerce, PrestaShop, Wix, Webflow, or custom). Output: a rewritten PDP with unique copy, FAQ and definition blocks, review and…