사용 방법
- 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
- 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
- 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/vyayasan/kyc-analyst --skill screening시작 전 확인
- 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
- 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서
원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.
Screening Skill - v1.0.0
Comprehensive sanctions and PEP screening with multi-database search, false positive assessment, and HITL decision gates.
Overview
Screening is a mandatory component of all KYC workflows. This skill provides standalone screening capability for ad-hoc checks, batch processing, and integration into onboarding/refresh workflows.
Screening Databases (12+ Sources)
Sanctions Lists
- OFAC SDN - US Specially Designated Nationals
- EU Consolidated Sanctions List - European Union
- UK HM Treasury - UK Financial Sanctions
- UN Consolidated List - United Nations Security Council
- Interpol - Red and Yellow Notices
- OpenSanctions - Open-source aggregated sanctions data
PEP Databases
- EveryPolitician - Global political figures
- Wikidata - Political and public figures
- UK Parliament - Register of Members' Interests
- CIA World Factbook - National leadership
- Electoral Commission databases - Candidates and office holders
Criminal/Legal
- UK Court records - Criminal convictions, CCJs
- Companies House - Insolvency records, disqualified directors
Screening Process
Step 1: Identify Screening Targets
- Customer (individual or entity)
- All beneficial owners (>25% threshold)
- Directors and senior management (entities)
- Family members and close associates (PEP cases)
Step 2: Execute Searches
For each target, search against all applicable databases:
- Record search date, platform, and search terms
- Document all matches (including potential false positives)
- Screenshot or save evidence
Step 3: False Positive Assessment [HITL Checkpoint]
When a potential match is found:
| Factor | Assessment |
|---|---|
| Name similarity | Exact / Partial / Common name |
| Date of birth | Match / Mismatch / Unknown |
| Nationality | Match / Mismatch |
| Location | Match / Mismatch |
| Photograph | Match / Mismatch / Not available |
| Context | Supports match / Against match |
Decision:
- TRUE MATCH: Immediate escalation to Manager + MLRO
- FALSE POSITIVE: Document reasoning and evidence, proceed
- UNCERTAIN: Escalate for senior review
Step 4: Generate Report
- Screening summary with all targets and results
- False positive assessment documentation (if applicable)
- Escalation brief (if true match or uncertain)
- Recommendations and next steps
Batch Screening
For processing multiple alerts:
Analyze [X] screening alerts from uploaded CSV.
For each alert:
- Assess match quality
- Check for false positive patterns
- Research as needed
- Provide recommendation (CLEAR/ESCALATE)
Create Excel report with all analyses.Regulatory Basis
- OFAC compliance (US)
- EU Sanctions Regulations
- UK Money Laundering Regulations 2017
- UN Security Council Resolutions
- AMLD5 screening requirements
Version: 1.0.0 Author: Vyayasan
