Qsr Ghost Inventory Hunter

Identifies unaccounted inventory loss in restaurant operations by cross-referencing sales volume against theoretical recipe yields. Pinpoints whether missing...

This skill is instruction-only and appears coherent with its purpose, but consider these practical points before installing: 1) The skill relies on you supplying POS exports, inventory counts, and delivery info — do not paste unrelated sensitive credentials or full customer PII into the conversation. 2) If you intend to integrate this with your POS/accounting systems later, prefer minimal-scoped API credentials and review any connector carefully. 3) The skill stores investigation summaries in agent memory; if you are concerned about retention, clear or limit agent memory after use. 4) Outputs (e.g., allegations of theft) may have legal or HR consequences—verify conclusions with physical audits before taking action. 5) If you want the skill to read data automatically, request an integration that explicitly lists required permissions; as-is, it only uses operator-provided data.

Type: OpenClaw Skill Name: qsr-ghost-inventory-hunter Version: 1.0.0 The skill bundle contains purely instructional content for an AI agent to perform restaurant inventory variance analysis. It uses mathematical logic to compare sales data against inventory counts to identify food waste or theft, and it lacks any code execution, network requests, or attempts to access sensitive system information (SKILL.md).