kyc-rules

Compute risk ratings and dispositions from KYC records using a rules grid.

1|Updated May 16, 2026
One-click install
npx skills add https://github.com/executiveusa/Cheggie-trade-V2 --skill kyc-rules-executiveusa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kyc-rules
Source: https://github.com/executiveusa/Cheggie-trade-V2/tree/main/core/financial-skills/plugins/vertical-plugins/operations/skills/kyc-rules
Command: npx skills add https://github.com/executiveusa/Cheggie-trade-V2 --skill kyc-rules-executiveusa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns a parsed KYC onboarding record into a rule-based risk score and a fully cited disposition package, so reviewers can quickly see what passed, what failed, and what requires escalation.

Core Features & Use Cases

  • Risk scoring from a trusted rules grid: Computes a low | medium | high risk rating using factor fields from the applicant record (e.g., jurisdiction, ownership opacity, PEP/sanctions outcomes, and source-of-funds clarity).
  • Required-document validation by applicant type and risk: Lists required documents at the computed rating and marks each as received / missing / expired.
  • Transparent, rule-cited outcomes: Produces a complete row-by-row set of rule outcomes with evidence fields, ensuring every decision can be traced to a specific rule.
  • Disposition routing (no approvals): Returns a disposition such as clear, request-docs, escalate-EDD, or decline-recommend while flagging escalation-worthy reasons.

Quick Start

Run kyc-rules on the structured output from kyc-doc-parse together with the firm’s trusted KYC/AML rules grid and screening results, and use the returned disposition and rule_outcomes to route the case for human review.

Frequently Asked Questions about kyc-rules

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

FAQPage Schema
How does a rules engine score KYC onboarding records for AML risk?

A KYC rules engine applies a firm's AML rules grid to parsed onboarding records, evaluating jurisdiction, ownership opacity, and PEP sanctions hits to compute a low, medium, or high risk rating.

How do I automate KYC risk scoring and disposition routing for new applicants?

You automate KYC risk scoring by feeding structured applicant records and screening results into a rules engine, which outputs a cited rule outcome table and a JSON disposition for routing the case.

What is needed to calculate a KYC risk rating using a rules grid?

Calculating a KYC risk rating requires a trusted rules grid, a structured onboarding record, and screening results covering jurisdiction, applicant type, beneficial ownership opacity, and source-of-funds clarity.

Can a KYC rules engine validate required documents based on applicant risk level?

Yes, a KYC rules engine lists required documents based on the computed applicant risk rating and marks each document status as received, missing, or expired for onboarding validation.

What dispositions can a KYC rules engine generate for escalation routing?

A KYC rules engine generates dispositions such as clear, request-docs, escalate-EDD, or decline-recommend while flagging escalation-worthy reasons for human review.

Does a KYC rules engine approve onboarding applications automatically?

No, a KYC rules engine does not approve applications; it computes a risk score and returns a rule-cited disposition package to route the case for human review and escalation.