sanctions-screening-review

Review sanctions screening hits and document OFAC match dispositions.

6|5|Updated Feb 4, 2026
One-click install
npx skills add https://github.com/writer/skills --skill sanctions-screening-review-writer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sanctions-screening-review
Source: https://github.com/writer/skills/tree/main/skills/sanctions-screening-review
Command: npx skills add https://github.com/writer/skills --skill sanctions-screening-review-writer

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps compliance analysts efficiently review and document sanctions screening results, ensuring adherence to OFAC and other global sanctions regulations.

Core Features & Use Cases

  • Match Analysis: Provides a structured framework for comparing screening hits against sanctions list entries.
  • Disposition Documentation: Guides users in determining and documenting true positives, false positives, or escalations.
  • Use Case: When a customer's name appears on the SDN list, this Skill helps you analyze the match details, assess the 50% rule, and document whether it's a true match requiring blocking or a false positive due to name similarity.

Quick Start

Use the sanctions-screening-review skill to analyze a potential match for a customer named 'John Smith' against the OFAC SDN list.

Frequently Asked Questions about sanctions-screening-review

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

FAQPage Schema
How do I review and document OFAC sanctions screening hits?

To review OFAC sanctions screening hits, analyze match details against list entries, assess risk, and document whether the disposition is a true match or false positive. You need customer data, sanctions list references, and screening parameters to execute this.

What is the process for determining a false positive in AML sanctions screening?

Determining a false positive in AML sanctions screening involves comparing customer data against sanctions list references and evaluating screening parameters. You document it as a false positive when name similarity lacks sufficient matching criteria.

How does the 50% rule apply to OFAC SDN list screening matches?

The 50% rule in OFAC screening requires assessing match details to determine if an entity is owned 50% or more by a sanctioned person. You analyze customer data and sanctions list references to support the blocking decision.

Can I use this approach for both customer onboarding and transaction monitoring KYC checks?

Yes, you can use this sanctions screening review approach for both customer onboarding and transaction monitoring KYC checks. It assesses sanctions risk by analyzing screening hits, customer details, and transaction data to support dispositions.

What input data is required to analyze sanctions compliance decisions?

Analyzing sanctions compliance decisions requires detailed input on screening hit details, customer or transaction data, sanctions list references, and screening system parameters. This information provides the framework to determine true matches.