Staff Account Audit
Read-only: reviews staff accounts for stale logins, inactive status, and overpermissioned roles to surface security and access hygiene issues.
shopify-admin-staff-account-audit
Purpose
Audits all staff member accounts on the store to surface security and access-hygiene risks. Flags accounts that have not logged in for more than stale_days days, accounts that are inactive but still provisioned, and accounts with full / shop-owner-equivalent permissions. Read-only — no mutations. Provides the data foundation for a follow-up access review or deprovisioning workflow.
Prerequisites
shopify store auth --store --scopes read_users read_usersParameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| store | string | yes | — | Store domain (e.g., mystore.myshopify.com) |
| stale_days | integer | no | 90 | Flag accounts with no login activity in this many days |
| include_inactive | bool | no | true | Include accounts where active: false in the audit output |
| include_owner | bool | no | false | Include the shop owner row in flagged-account counts |
| format | string | no | human | Output format: human or json |
Safety
> ℹ️ Read-only skill — no mutations are executed. Safe to run at any time. No staff accounts are deactivated or modified by this skill.
Workflow Steps
staffMembers — query Inputs: first: 250, select id, name, email, active, isShopOwner, accountType, locale, lastSeen, pagination cursor
Expected output: All staff members with status and last-login data; paginate until hasNextPage: false
days_since_last_seen per member. Flag any member with days_since_last_seen > stale_days as stale.active: false (or accountType: SUSPENDED) as inactive but provisioned.isShopOwner: true or accountType: COLLABORATOR with full permissions as high privilege for review.stale, inactive, high_privilege).GraphQL Operations
# staffMembers:query — validated against api_version 2025-01
query StaffAccountAudit($after: String) {
staffMembers(first: 250, after: $after) {
edges {
node {
id
name
email
active
isShopOwner
accountType
locale
exists
phone
avatar {
url
}
privateData {
accountSettingsUrl
createdAt
}
}
}
pageInfo {
hasNextPage
endCursor
}
}
}
Session Tracking
Claude MUST emit the following output at each stage. This is mandatory.
On start, emit:
╔══════════════════════════════════════════════╗
║ SKILL: Staff Account 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):
══════════════════════════════════════════════
STAFF ACCOUNT AUDIT (stale threshold: <stale_days> days)
Total staff accounts: <n>
Active: <n>
Inactive (provisioned): <n>
Stale logins (>Nd): <n> (<pct>%)
High-privilege roles: <n>
Flagged accounts (top by risk):
"<name>" <email> last_seen: <Nd ago> flags: <stale,high_priv>
Output: staff_audit_<date>.csv
══════════════════════════════════════════════
For format: json, emit:
{
"skill": "staff-account-audit",
"store": "<domain>",
"stale_days_threshold": 90,
"total_accounts": 0,
"active_accounts": 0,
"inactive_accounts": 0,
"stale_accounts": 0,
"high_privilege_accounts": 0,
"output_file": "staff_audit_<date>.csv"
}
Output Format
CSV file staff_audit_ with columns:
staff_id, name, email, account_type, is_shop_owner, active, last_seen, days_since_last_seen, is_stale, is_inactive, is_high_privilege, flags
Error Handling
| Error | Cause | Recovery |
|---|---|---|
THROTTLED | API rate limit exceeded | Wait 2 seconds, retry up to 3 times |
ACCESS_DENIED on staffMembers | Caller lacks read_users or staff-mgmt permission | Re-auth as Shop Owner / staff-admin |
lastSeen: null on a staff member | Account never logged in | Treat as days_since_last_seen = days_since_account_created; flag as stale |
| Empty staff list | Single-operator store (owner only) | Exit with 1 row (the owner); skill is still useful for record-keeping |
Best Practices
stale_days: 30 for high-risk stores (high-volume, large staff) and stale_days: 180 for very small teams where seasonal access is normal.days_since_last_seen descending to prioritize the longest-stale accounts first.staffMember-scoped audit log events before deprovisioning to ensure there is no in-flight work.