Plugin

sciqlab-supply-chain

Three AI agents for supply chain operations — demand exception analysis, supplier risk scoring, and a multi-agent orchestrator for S&OP reviews. This plugin gives supply chain teams AI-powered demand planning and supplier risk intelligence, directly inside Claude. It includes three skills that work independently or together: Demand Exception Analyzer — Upload a CSV of historical sales vs forecast data and get MAPE/WMAPE calculations, forecast bias detection, consecutive exception flagging, and a VP-ready executive summary in seconds. Supplier Risk Assessment — Provide a list of suppliers and the agent researches each one via web search, then scores them across 6 risk dimensions (Financial Health, Geopolitical Risk, ESG, Supply Continuity, Compliance, Reputation) and generates a color-coded Excel report. Multi-Agent Orchestrator — Combines both agents into a single workflow: runs demand analysis first, identifies problem SKUs, then scores suppliers for those SKUs, and produces an integrated S&OP report with a P1-P4 priority action plan.

• Published source
• Repository

Analysed

11 October 2026

Last observed

12 October 2026

What the code does

Static analysis found none of the capabilities we track, such as shell commands, network requests or file writes, in the latest version.

Having a capability is not wrongdoing; many tools need these to do their job. It tells you what to check before you install.

This is public metadata, not a safety certification or complete assessment. Static analysis cannot establish what a tool does at runtime.