This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
PCI DSS v4.0 payment card data security compliance, assessment, and implementation. Use for PCI DSS scoping, cardholder data environment (CDE) security, SAQ and ROC preparation, QSA engagement, tokenization, and merchant compliance.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Implement, assess, and maintain compliance with the Payment Card Industry Data Security Standard version 4.0 — the global standard for protecting cardholder data in payment processing environments. Covers CDE scoping, SAQ/ROC selection, gap assessment against all 12 requirements, scope reduction (tokenization, P2PE, segmentation), and the future-dated v4.0 controls that became mandatory March 31, 2025.
pci_compliance_checker.py)pci_scope_analyzer.py)Trigger on: "PCI DSS", "payment card security", "cardholder data", "PCI compliance", "payment security", "PCI assessment", "SAQ", "ROC", "QSA", "credit card security", "payment processing security", "tokenization", "CDE scoping", or "merchant level compliance".
Before running the assessment or scoping, settle the inputs below. When one is missing or vague and would change the result, ask about it; when it wouldn't, use a sensible default and say which one you used.
Ask about the two or three inputs that matter most for this request, not the whole list. If the user wants a result straight away, produce it and state your assumptions at the top.
# Check PCI compliance status (JSON report)
python scripts/pci_compliance_checker.py --input controls.json --output compliance_report.json
# Compliance gap report for stakeholders (Markdown)
python scripts/pci_compliance_checker.py --input controls.json --format markdown --output gap_report.md
# Determine SAQ type / analyze CDE scope
python scripts/pci_scope_analyzer.py --input business_model.json --output scope_report.json
python scripts/pci_scope_analyzer.py --input business_model.json --format markdown --output scope_analysis.md
Run --requirements 3,4,7,8 to scope the checker to specific requirements. Full tool detail, input JSON formats, and flag reference live in the tools reference below.
Load the reference that matches the task — keep this file lean and pull detail on demand:
In Scope:
Out of Scope:
| Skill | Integration |
|---|---|
| infrastructure-compliance-auditor | Validates network segmentation, TLS configuration, endpoint security, and logging controls that satisfy PCI DSS Requirements 1, 2, 4, 10, 11 |
| nist-csf-specialist | CSF functions map to PCI DSS requirements; use the control mapper to build unified control matrices for dual-compliance programs |
| soc2-compliance-expert | SOC 2 CC6 (access), CC7 (operations), CC8 (change management) overlap significantly with PCI DSS; leverage shared evidence |
| information-security-manager-iso27001 | ISO 27001 Annex A controls provide a management system framework supporting PCI DSS compliance |
| nis2-directive-specialist | EU entities subject to both NIS2 and PCI DSS can map shared controls (encryption, incident response, access control) |
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.