shopify-admin-cogs-completeness-audit

Purpose

Scans every variant in the catalog and surfaces those whose inventoryItem.unitCost is missing or zero. Cost of goods sold (COGS) is the foundation for margin reporting, profit-based pricing decisions, and inventory valuation — a single missing cost silently corrupts every downstream calculation. Read-only — no mutations.

Prerequisites

• Authenticated Shopify CLI session: shopify store auth --store <domain> --scopes read_products,read_inventory
• API scopes: read_products, read_inventory

Parameters

Parameter	Type	Required	Default	Description
store	string	yes	—	Store domain (e.g., mystore.myshopify.com)
status_filter	string	no	ACTIVE	Variant product status to audit: ACTIVE, DRAFT, ARCHIVED, or ALL
vendor_filter	string	no	—	Optional vendor to scope the audit
include_zero_cost	bool	no	true	Treat unitCost = 0 as missing (recommended; zero cost is rarely intentional)
only_stocked	bool	no	true	Limit to variants with inventoryQuantity > 0
format	string	no	human	Output format: human or json

Safety

ℹ️ Read-only skill — no mutations are executed. Safe to run at any time. The skill flags missing data; remediation should happen through a follow-up workflow that you control.

Workflow Steps

1. OPERATION: productVariants — query Inputs: first: 250, query: <built from status_filter and vendor_filter>, select sku, price, inventoryQuantity, inventoryItem { id }, product { title, vendor, status, productType }, pagination cursor Expected output: All matching variants; paginate until hasNextPage: false

2. OPERATION: inventoryItems — query Inputs: Batched inventoryItemIds (≤100 per request) Expected output: unitCost { amount, currencyCode }, tracked

3. Filter to variants where unitCost == null or unitCost.amount == 0 (when include_zero_cost: true). Compute potential margin gap as price - 0 = price for the missing-cost variants — this is the fictional margin downstream reports will show.

4. Summarize: count missing, % of catalog, total stock-value impact (sum of inventoryQuantity * price across missing rows since you cannot value them on cost).

GraphQL Operations

# productVariants:query — validated against api_version 2025-01
query VariantsForCogsAudit($query: String, $after: String) {
  productVariants(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        sku
        title
        price
        inventoryQuantity
        product {
          id
          title
          vendor
          status
          productType
        }
        inventoryItem {
          id
        }
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}

# inventoryItems:query — validated against api_version 2025-01
query InventoryItemCosts($ids: [ID!]!) {
  nodes(ids: $ids) {
    ... on InventoryItem {
      id
      tracked
      sku
      unitCost {
        amount
        currencyCode
      }
    }
  }
}

Session Tracking

Claude MUST emit the following output at each stage. This is mandatory.

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: COGS Completeness Audit              ║
║  Store: <store domain>                       ║
║  Started: <YYYY-MM-DD HH:MM UTC>             ║
╚══════════════════════════════════════════════╝

After each step, emit:

[N/TOTAL] <QUERY|MUTATION>  <OperationName>
          → Params: <brief summary of key inputs>
          → Result: <count or outcome>

On completion, emit:

For format: human (default):

══════════════════════════════════════════════
COGS COMPLETENESS AUDIT
  Variants audited:        <n>
  Missing unit cost:       <n>  (<pct>%)
  Stocked + missing cost:  <n>
  Catalog value at risk:   $<amount> (priced, not costed)

  Top vendors by missing variants:
    <vendor>  Missing: <n>  Stocked: <n>
  Output: cogs_audit_<date>.csv
══════════════════════════════════════════════

For format: json, emit:

{
  "skill": "cogs-completeness-audit",
  "store": "<domain>",
  "variants_audited": 0,
  "missing_cost": 0,
  "missing_cost_pct": 0,
  "stocked_missing": 0,
  "value_at_risk": 0,
  "currency": "USD",
  "output_file": "cogs_audit_<date>.csv"
}

Output Format

CSV file cogs_audit_<YYYY-MM-DD>.csv with columns: variant_id, inventory_item_id, sku, product_title, vendor, product_status, price, unit_cost, inventory_quantity, value_at_price, currency

Error Handling

Error	Cause	Recovery
THROTTLED	API rate limit exceeded	Wait 2 seconds, retry up to 3 times
inventoryItem is null	Variant has no inventory item (rare)	Skip, note in error count
unitCost.currencyCode differs from store currency	Multi-currency cost capture	Treat as present; do not flag, surface currency mismatch separately
All variants have costs	Healthy catalog	Exit with summary: 0 missing, 100% complete

Best Practices

• Run monthly; whenever new vendors or product lines are onboarded, run on day one of activation to catch missing costs before margin reports are trusted.
• Filter by vendor_filter to assign remediation work to the buyer responsible for that vendor's data.
• Pair with inventory-valuation-report — that report will silently treat missing-cost SKUs as worthless inventory unless this audit is clean.
• Treat unitCost = 0 as missing by default. Genuine zero-cost SKUs (free samples, GWP) are rare; tag those with a zero-cost-intentional product tag and exclude them from the audit via vendor_filter or downstream filtering.
• Use the CSV as a worklist: hand it to the merchandising team for cost capture, then re-run weekly until the missing count is zero.