⚠️ Model Risk Register Generator

Secure Your AI Supply Chain

Modern applications are increasingly dependent on a complex web of AI providers and models. The Model Risk Register Generator automates the tedious process of auditing your codebase to identify every AI dependency, from LLM providers to specialized embedding models.

What it does

This skill performs static analysis on your repository to map out your AI footprint. It identifies:

• Providers: Companies like OpenAI, Anthropic, or HuggingFace.
• Models: Specific versions used (e.g., gpt-4o, claude-3-5-sonnet).
• Usage Context: Exactly where in your code these models are invoked.
• Risk Profiles: Availability risks, fallback status, and data residency considerations.

Why use this skill?

Instead of manually hunting for API calls or outdated configuration strings, this skill provides a structured, developer-centric view of your AI infrastructure. It bridges the gap between raw source code and compliance-ready documentation. By integrating owner notes and fallback strategies, you transform a simple code scan into a robust business continuity artifact.

Output Formats

The skill generates clean, professional Markdown tables for documentation or CSV files for integration into GRC (Governance, Risk, and Compliance) platforms and spreadsheets.