Read-only: identifies products and variants that are missing inventoryItem.unitCost so margin and inventory valuation reports stay accurate.
Scanned 5/28/2026
Install to Claude Code
npx -y skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-cogs-completeness-audit --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: shopify-admin-cogs-completeness-audit
role: merchandising
description: "Read-only: identifies products and variants that are missing inventoryItem.unitCost so margin and inventory valuation reports stay accurate."
toolkit: shopify-admin, shopify-admin-execution
api_version: "2025-01"
graphql_operations:
- productVariants:query
- inventoryItems:query
status: stable
compatibility: Claude Code, Cursor, Codex, Gemini CLI
---
## 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
```graphql
# productVariants:query — validated against api_version 2025-01
query VariantsForCogsAudit($query: String, $after: String) {
productVariants(first: 250, after: $after, query: $query) {
edges {
node {
id
sku
title
price
inventoryQuantity
product {
id
title
vendor
status
productType
}
inventoryItem {
id
}
}
}
pageInfo {
hasNextPage
endCursor
}
}
}
```
```graphql
# inventoryItems:query — validated against api_version 2025-01
query InventoryItemCosts($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:
```json
{
"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.
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