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Agentic Commerce Audit Descriptions

skill-commerce-agentic-agentic-commerce-skills-agentic-commerce-audit-descriptions · by commerce-agentic

Deep audit of Shopify product descriptions for AI shopping agent parseability. Scores structure, use-case language, dimensions, materials, search intents.

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Install

$ agentstack add skill-commerce-agentic-agentic-commerce-skills-agentic-commerce-audit-descriptions

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Purpose

Drills into the description dimension of the Agentic Commerce Spec score. AI shopping agents do not parse marketing copy the way humans do — they extract structured facts: materials, dimensions, use cases, compatibility, target persona. Descriptions that read beautifully for humans can still be invisible to AI agents if they lack these structured signals.

This skill surfaces:

  • Descriptions below the recommended word count (20+ words for AI parseability)
  • Descriptions missing use-case language ("perfect for", "designed for", "works with")
  • Descriptions missing measurement/dimension data
  • Descriptions missing material/composition data
  • Descriptions that are duplicate or near-duplicate across products

Prerequisites

  • Authenticated Shopify CLI session: shopify auth login --store
  • API scopes: read_products

Parameters

| Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | store | string | yes | — | Store domain | | format | string | no | human | Output format: human or json | | limit | integer | no | 250 | Max products to audit | | minwords | integer | no | 20 | Minimum description word count to consider "AI-parseable" | | flagduplicates | bool | no | true | Flag products with near-duplicate descriptions |

Workflow Steps

  1. OPERATION: products — query with description fields only (lighter than full audit)
  1. For each product description:
  • Strip HTML, count words
  • Detect use-case language via keyword pattern matching (perfect for|designed for|ideal for|works with|compatible with|suitable for)
  • Detect measurements via regex for dimensions (\d+(?:\.\d+)?\s*(?:cm|mm|in|inches|kg|lb|oz))
  • Detect materials via vertical-specific keyword lists (e.g., apparel: cotton, wool, polyester; home: oak, stainless steel)
  1. Flag duplicates if flag_duplicates: true: compute SHA-256 of description text → group products by hash. Surface groups of 2+ products sharing identical descriptions.
  1. Output ranked report:
  • Critical: descriptions Read-only operation. No mutations.

GraphQL Operations

# products:query — focused on description fields
query DescriptionAudit($first: Int!, $after: String) {
  products(first: $first, after: $after) {
    edges {
      node {
        id
        title
        descriptionHtml
        productType
        vendor
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}

Companion fix

After this audit, the [agentic-commerce-generate-ai-descriptions](../../catalog-fix/agentic-commerce-generate-ai-descriptions/SKILL.md) skill can auto-rewrite flagged descriptions, preserving brand voice while injecting the missing structured signals.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.