Token导航 LogoToken导航

Agent Skill · 前端设计

pci-compliance(PCI 合规性)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

pci-compliance 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描有提醒项,按安装量在前端设计类的 10,216 个 Skill 里排第 170。

总安装 124,656周安装 5,260GitHub Stars 34,520下载 43,672核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:pci-compliance(PCI 合规性)
来源仓库:https://github.com/wshobson/agents
仓库路径:skills/pci-compliance
安装命令:
npx skills add https://github.com/wshobson/agents --skill pci-compliance
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/wshobson/agents --skill pci-compliance

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

实施支付卡安全处理的 PCI DSS 合规性要求。

涵盖网络安全、数据保护、访问控制、监控和策略方面的所有 12 核心 PCI DSS 要求 提供标记化(基于处理器的和自定义的)、静态和传输中加密以及审核日志记录的实用代码示例 包括数据最小化规则,指定可以和不可以存储哪些卡数据,以及卡号的 Luhn 验证 根据交易量和 SAQ 问卷类型(A、A-EP、D)概述合规级别 (1-4),以确定评估范围

来源仓库内路径:skills/pci-compliance

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/wshobson/agents --skill pci-compliance;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

pci-compliance 怎么安装?

在终端执行 npx skills add https://github.com/wshobson/agents --skill pci-compliance。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

pci-compliance 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

pci-compliance 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

pci-compliance 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

pci-compliance 用的人多吗?

公开数据是累计安装 124,656 次,近一周安装 5,260 次,下载 43,672 次,GitHub 34,520 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

pci-compliance 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 来源仓库有 34,520 星,维护活跃度相对可查。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
pci-compliance

PCI 合规性 · 本页

124,65634,520需要联网MIT有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

PCI Compliance

Master PCI DSS (Payment Card Industry Data Security Standard) compliance for secure payment processing and handling of cardholder data.

When to Use This Skill

  • Building payment processing systems
  • Handling credit card information
  • Implementing secure payment flows
  • Conducting PCI compliance audits
  • Reducing PCI compliance scope
  • Implementing tokenization and encryption
  • Preparing for PCI DSS assessments

PCI DSS Requirements (12 Core Requirements)

Build and Maintain Secure Network

  1. Install and maintain firewall configuration
  2. Don't use vendor-supplied defaults for passwords

Protect Cardholder Data

  1. Protect stored cardholder data
  2. Encrypt transmission of cardholder data across public networks

Maintain Vulnerability Management

  1. Protect systems against malware
  2. Develop and maintain secure systems and applications

Implement Strong Access Control

  1. Restrict access to cardholder data by business need-to-know
  2. Identify and authenticate access to system components
  3. Restrict physical access to cardholder data

Monitor and Test Networks

  1. Track and monitor all access to network resources and cardholder data
  2. Regularly test security systems and processes

Maintain Information Security Policy

  1. Maintain a policy that addresses information security

Compliance Levels

Level 1: > 6 million transactions/year (annual ROC required) Level 2: 1-6 million transactions/year (annual SAQ) Level 3: 20,000-1 million e-commerce transactions/year Level 4: < 20,000 e-commerce or < 1 million total transactions

Data Minimization (Never Store)

# NEVER STORE THESE
PROHIBITED_DATA = {
    'full_track_data': 'Magnetic stripe data',
    'cvv': 'Card verification code/value',
    'pin': 'PIN or PIN block'
}

# CAN STORE (if encrypted)
ALLOWED_DATA = {
    'pan': 'Primary Account Number (card number)',
    'cardholder_name': 'Name on card',
    'expiration_date': 'Card expiration',
    'service_code': 'Service code'
}

class PaymentData:
    """Safe payment data handling."""

    def __init__(self):
        self.prohibited_fields = ['cvv', 'cvv2', 'cvc', 'pin']

    def sanitize_log(self, data):
        """Remove sensitive data from logs."""
        sanitized = data.copy()

        # Mask PAN
        if 'card_number' in sanitized:
            card = sanitized['card_number']
            sanitized['card_number'] = f"{card[:6]}{'*' * (len(card) - 10)}{card[-4:]}"

        # Remove prohibited data
        for field in self.prohibited_fields:
            sanitized.pop(field, None)

        return sanitized

    def validate_no_prohibited_storage(self, data):
        """Ensure no prohibited data is being stored."""
        for field in self.prohibited_fields:
            if field in data:
                raise SecurityError(f"Attempting to store prohibited field: {field}")

Tokenization

Using Payment Processor Tokens

import stripe

class TokenizedPayment:
    """Handle payments using tokens (no card data on server)."""

    @staticmethod
    def create_payment_method_token(card_details):
        """Create token from card details (client-side only)."""
        # THIS SHOULD ONLY BE DONE CLIENT-SIDE WITH STRIPE.JS
        # NEVER send card details to your server

        """
        // Frontend JavaScript
        const stripe = Stripe('pk_...');

        const {token, error} = await stripe.createToken({
            card: {
                number: '4242424242424242',
                exp_month: 12,
                exp_year: 2024,
                cvc: '123'
            }
        });

        // Send token.id to server (NOT card details)
        """
        pass

    @staticmethod
    def charge_with_token(token_id, amount):
        """Charge using token (server-side)."""
        # Your server only sees the token, never the card number
        stripe.api_key = "sk_..."

        charge = stripe.Charge.create(
            amount=amount,
            currency="usd",
            source=token_id,  # Token instead of card details
            description="Payment"
        )

        return charge

    @staticmethod
    def store_payment_method(customer_id, payment_method_token):
        """Store payment method as token for future use."""
        stripe.Customer.modify(
            customer_id,
            source=payment_method_token
        )

        # Store only customer_id and payment_method_id in your database
        # NEVER store actual card details
        return {
            'customer_id': customer_id,
            'has_payment_method': True
            # DO NOT store: card number, CVV, etc.
        }

Custom Tokenization (Advanced)

import secrets
from cryptography.fernet import Fernet

class TokenVault:
    """Secure token vault for card data (if you must store it)."""

    def __init__(self, encryption_key):
        self.cipher = Fernet(encryption_key)
        self.vault = {}  # In production: use encrypted database

    def tokenize(self, card_data):
        """Convert card data to token."""
        # Generate secure random token
        token = secrets.token_urlsafe(32)

        # Encrypt card data
        encrypted = self.cipher.encrypt(json.dumps(card_data).encode())

        # Store token -> encrypted data mapping
        self.vault[token] = encrypted

        return token

    def detokenize(self, token):
        """Retrieve card data from token."""
        encrypted = self.vault.get(token)
        if not encrypted:
            raise ValueError("Token not found")

        # Decrypt
        decrypted = self.cipher.decrypt(encrypted)
        return json.loads(decrypted.decode())

    def delete_token(self, token):
        """Remove token from vault."""
        self.vault.pop(token, None)

Encryption

Data at Rest

from cryptography.hazmat.primitives.ciphers.aead import AESGCM
import os

class EncryptedStorage:
    """Encrypt data at rest using AES-256-GCM."""

    def __init__(self, encryption_key):
        """Initialize with 256-bit key."""
        self.key = encryption_key  # Must be 32 bytes

    def encrypt(self, plaintext):
        """Encrypt data."""
        # Generate random nonce
        nonce = os.urandom(12)

        # Encrypt
        aesgcm = AESGCM(self.key)
        ciphertext = aesgcm.encrypt(nonce, plaintext.encode(), None)

        # Return nonce + ciphertext
        return nonce + ciphertext

    def decrypt(self, encrypted_data):
        """Decrypt data."""
        # Extract nonce and ciphertext
        nonce = encrypted_data[:12]
        ciphertext = encrypted_data[12:]

        # Decrypt
        aesgcm = AESGCM(self.key)
        plaintext = aesgcm.decrypt(nonce, ciphertext, None)

        return plaintext.decode()

# Usage
storage = EncryptedStorage(os.urandom(32))
encrypted_pan = storage.encrypt("4242424242424242")
# Store encrypted_pan in database

Data in Transit

# Always use TLS 1.2 or higher
# Flask/Django example
app.config['SESSION_COOKIE_SECURE'] = True  # HTTPS only
app.config['SESSION_COOKIE_HTTPONLY'] = True
app.config['SESSION_COOKIE_SAMESITE'] = 'Strict'

# Enforce HTTPS
from flask_talisman import Talisman
Talisman(app, force_https=True)

Access Control

from functools import wraps
from flask import session

def require_pci_access(f):
    """Decorator to restrict access to cardholder data."""
    @wraps(f)
    def decorated_function(*args, **kwargs):
        user = session.get('user')

        # Check if user has PCI access role
        if not user or 'pci_access' not in user.get('roles', []):
            return {'error': 'Unauthorized access to cardholder data'}, 403

        # Log access attempt
        audit_log(
            user=user['id'],
            action='access_cardholder_data',
            resource=f.__name__
        )

        return f(*args, **kwargs)

    return decorated_function

@app.route('/api/payment-methods')
@require_pci_access
def get_payment_methods():
    """Retrieve payment methods (restricted access)."""
    # Only accessible to users with pci_access role
    pass

Audit Logging

import logging
from datetime import datetime

class PCIAuditLogger:
    """PCI-compliant audit logging."""

    def __init__(self):
        self.logger = logging.getLogger('pci_audit')
        # Configure to write to secure, append-only log

    def log_access(self, user_id, resource, action, result):
        """Log access to cardholder data."""
        entry = {
            'timestamp': datetime.utcnow().isoformat(),
            'user_id': user_id,
            'resource': resource,
            'action': action,
            'result': result,
            'ip_address': request.remote_addr
        }

        self.logger.info(json.dumps(entry))

    def log_authentication(self, user_id, success, method):
        """Log authentication attempt."""
        entry = {
            'timestamp': datetime.utcnow().isoformat(),
            'user_id': user_id,
            'event': 'authentication',
            'success': success,
            'method': method,
            'ip_address': request.remote_addr
        }

        self.logger.info(json.dumps(entry))

# Usage
audit = PCIAuditLogger()
audit.log_access(user_id=123, resource='payment_methods', action='read', result='success')

Security Best Practices

Input Validation

import re

def validate_card_number(card_number):
    """Validate card number format (Luhn algorithm)."""
    # Remove spaces and dashes
    card_number = re.sub(r'[\s-]', '', card_number)

    # Check if all digits
    if not card_number.isdigit():
        return False

    # Luhn algorithm
    def luhn_checksum(card_num):
        def digits_of(n):
            return [int(d) for d in str(n)]

        digits = digits_of(card_num)
        odd_digits = digits[-1::-2]
        even_digits = digits[-2::-2]
        checksum = sum(odd_digits)
        for d in even_digits:
            checksum += sum(digits_of(d * 2))
        return checksum % 10

    return luhn_checksum(card_number) == 0

def sanitize_input(user_input):
    """Sanitize user input to prevent injection."""
    # Remove special characters
    # Validate against expected format
    # Escape for database queries
    pass

PCI DSS SAQ (Self-Assessment Questionnaire)

SAQ A (Least Requirements)

  • E-commerce using hosted payment page
  • No card data on your systems
  • ~20 questions

SAQ A-EP

  • E-commerce with embedded payment form
  • Uses JavaScript to handle card data
  • ~180 questions

SAQ D (Most Requirements)

  • Store, process, or transmit card data
  • Full PCI DSS requirements
  • ~300 questions

Compliance Checklist

PCI_COMPLIANCE_CHECKLIST = {
    'network_security': [
        'Firewall configured and maintained',
        'No vendor default passwords',
        'Network segmentation implemented'
    ],
    'data_protection': [
        'No storage of CVV, track data, or PIN',
        'PAN encrypted when stored',
        'PAN masked when displayed',
        'Encryption keys properly managed'
    ],
    'vulnerability_management': [
        'Anti-virus installed and updated',
        'Secure development practices',
        'Regular security patches',
        'Vulnerability scanning performed'
    ],
    'access_control': [
        'Access restricted by role',
        'Unique IDs for all users',
        'Multi-factor authentication',
        'Physical security measures'
    ],
    'monitoring': [
        'Audit logs enabled',
        'Log review process',
        'File integrity monitoring',
        'Regular security testing'
    ],
    'policy': [
        'Security policy documented',
        'Risk assessment performed',
        'Security awareness training',
        'Incident response plan'
    ]
}

平台分布

Claude Code

32.45%
按下载量换算14,172

Cursor

21.05%
按下载量换算9,193

OpenCode

18.86%
按下载量换算8,237

Gemini CLI

13.94%
按下载量换算6,088

Antigravity

8.54%
按下载量换算3,730

Codex

3.24%
按下载量换算1,415

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。

继续浏览同类 Skills