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    Agent-Ready Storefront Audit

    Agent-Ready Storefront Audit

    Audit your online store to ensure it is discoverable and purchasable by autonomous AI shopping agents.

    Updated Jun 2026
    Instant install
    Codex CLI

    $14

    · or 70 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Identify technical blockers preventing AI agents from purchasing products
    • Validate JSON-LD and Schema.org markup for machine-readability
    • file_read, file_write automation included
    • Ready for Codex CLI
    • Instant install

    Sample input

    Audit this Shopify product page content and its JSON-LD schema to see if an AI shopping agent can autonomously buy this 'Eco-Therm Flask'. [Attached HTML and Schema]

    Sample output

    VERDICT: NEEDS WORK SCORE BY DIMENSION:

    • Product data: PASS
    • Structured data: WEAK
    • Policy clarity: MISSING
    • Trust signals: PASS
    • Transactability: WEAK

    TOP FIXES:

    1. Structured Data: Missing 'priceValidUntil' and 'availability' in JSON-LD.
    2. Policy: Return window is "flexible" - define as "30 days".

    About This Skill

    What it does

    This skill is an adversarial auditor that reviews your online store through the eyes of an AI shopping agent. It reads your product pages, policies, and metadata and judges whether an autonomous agent could discover, evaluate, and complete a purchase without a human stepping in.

    The problem it tackles

    Most stores are built for human eyes, with key facts hidden in images or buried in vague prose. A person can figure it out, but an AI shopping agent comparing options for a buyer tends to skip stores with unstructured data, ambiguous return policies, or checkout paths it cannot follow. This is the sell-side counterpart to discovery: not "can an agent find you" but "can an agent confidently transact with you." The audit surfaces those agent-blockers so you can fix them.

    What it reviews

    Give it raw HTML, a JSON-LD schema.org snippet, a product description, or policy text from any platform, including Shopify, WooCommerce, or a custom build. It looks for machine-readable product identity, stable pricing and availability, parseable policies, trust signals, and a clear path to checkout.

    What you get

    A structured scorecard across five dimensions (product data, structured data, policy clarity, trust signals, and transactability), a clear verdict, and a ranked list of copy-ready fixes with the offending text quoted. The bundled reference file adds a checklist plus fill-in templates for product JSON-LD, returns, and shipping policies.

    This is an audit aid based on general agent-commerce norms. It judges only the content you provide and cannot guarantee that any specific agent will buy or that fixes will increase sales. Verify against your own platform and live store behavior.

    Use Cases

    • Identify technical blockers preventing AI agents from purchasing products
    • Validate JSON-LD and Schema.org markup for machine-readability
    • Simplify refund and shipping policies for autonomous agent parsing
    • Audit checkout flows for bot-unfriendly gates and interstitials

    Reviews

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    Security Scanned

    Passed automated security review

    Permissions

    Read Files
    Write Files

    Allowed Hosts

    schema.org

    File Scopes

    agent-ready-storefront-audit/**

    Read Files lets the skill open the store content you point it at, such as a saved product page, an HTML export, or a JSON-LD snippet. Write Files lets it save the audit report or a filled-in markup template next to your files if you ask. It needs no terminal, network, or environment access and never fetches your live site or sends data anywhere.

    Works with any SKILL.md-compatible agent (Claude Code, Codex CLI, Cursor, VS Code Copilot, Gemini CLI, and others). Platform-agnostic - audits Shopify, WooCommerce, or custom stores. No runtime, network, or external tools required; it reads only the store content you paste in.

    Frequently Asked Questions

    $14