Installation

$ npx skills add vyayasan/kyc-analyst --skill screening

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared

Cursor Not declared

Codex Not declared

GitHub Copilot Not declared

Windsurf Not declared

Gemini CLI Not declared

Cline Not declared

OpenCode Not declared

Also listed on

Alternate registries and mirrors of this skill.

Smithery smithery/gabfssilva/screening

npx skills add smithery/gabfssilva --skill screening

Repository health

Stars 56

License LICENSE

Default branch main

Open issues 0

Status Active

Package contents

Files included with this skill beyond the listing page.

skill md SKILL.md 3,225 B

docs SUMMARY.md 202 B

History

May 7, 2026 First seen on skills.sh

Sep 9, 2026 First recorded snapshot · 135 installs

SKILL.md

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

screening