research-mitigations

Extract mitigations and build an asset inventory from customer input files into a structured JSON report.

43|13|Updated Feb 6, 2026

Search Tags:#data parsing #service assessment #asset inventory #mitigation extraction #CAF assessment

Ready to run

npx skills add https://github.com/aws-samples/sample-agentic-value-accelerator --skill research-mitigations

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-mitigations
Source: https://github.com/aws-samples/sample-agentic-value-accelerator/tree/main/platform/control_plane/service_approval/plugin/.claude-plugin/skills/research-mitigations
Command: npx skills add https://github.com/aws-samples/sample-agentic-value-accelerator --skill research-mitigations

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of extracting existing mitigations, building an initial asset inventory, and collecting assessment gaps from customer-provided input files, streamlining the research phase of service assessment.

Core Features & Use Cases

Mitigation Extraction: Parse customer-provided input files to extract existing mitigations.
Asset Inventory: Build an initial asset inventory from extracted mitigations.
Assessment Gaps: Collect assessment gaps from the CAF assessment phase.
Use Case: Ideal for organizations that need to automate the research phase of service assessment to improve efficiency and accuracy.

Quick Start

Run the research-mitigations skill with the input folder path and service name: research-mitigations [./input-folder] --service=<name>

Frequently Asked Questions about research-mitigations

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract mitigations from customer assessment files automatically?▼

To extract mitigations automatically, you can run an automated parsing skill that processes customer-provided input files. It handles JSON, Markdown, XLSX, PDF, and DOCX formats to pull out existing mitigations and build an initial asset inventory.

Can I build an asset inventory from multiple file formats like PDF and XLSX?▼

Yes, you can build an asset inventory from PDF and XLSX files, as well as JSON, Markdown, and DOCX formats. The skill parses these mixed customer-provided input files to extract mitigations and consolidate them into a unified inventory.

What is the best way to collect assessment gaps from a CAF assessment?▼

The best way to collect assessment gaps from a CAF assessment is to use an automated research skill that consumes the assessment phase outputs. It processes these inputs alongside customer files to identify and collect the gaps.

How do I start automating the research phase of service assessment?▼

To start automating the research phase of service assessment, run the skill by providing the input folder path and the service name. It will parse the input files to extract mitigations and output a structured JSON report.

Does the mitigation extraction process output a structured JSON report for further processing?▼

Yes, the mitigation extraction process outputs a structured JSON report. After parsing the customer-provided input files and building the asset inventory, it generates this JSON output specifically for further downstream processing.