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Agent Skill · 开发

auditing-cloud-with-cis-benchmarks(使用 CIS 基准审计云)

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。

auditing-cloud-with-cis-benchmarks 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 15,356。

总安装 606周安装 25GitHub Stars 5,887下载 198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
unknown

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:auditing-cloud-with-cis-benchmarks(使用 CIS 基准审计云)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/auditing-cloud-with-cis-benchmarks
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill auditing-cloud-with-cis-benchmarks
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill auditing-cloud-with-cis-benchmarks

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

基于 CIS 行业标准对云环境进行安全基准审计,支持多平台合规对齐。适用于 SOC 2、ISO 27001 等监管要求下的基线建立与持续改进跟踪。可周期性重评以衡量安全 posture 变化,辅助制定整改路线图。不适用于运行时威胁检测或应用层漏洞扫描,需结合专项工具使用。

auditing-cloud-with-cis-benchmarks 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/auditing-cloud-with-cis-benchmarks

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/mukul975/anthropic-cybersecurity-skills --skil…;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

    它需要接触敏感数据,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

auditing-cloud-with-cis-benchmarks 怎么安装?

在终端执行 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill auditing…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

auditing-cloud-with-cis-benchmarks 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。

auditing-cloud-with-cis-benchmarks 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

auditing-cloud-with-cis-benchmarks 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

auditing-cloud-with-cis-benchmarks 用的人多吗?

公开数据是累计安装 606 次,近一周安装 25 次,下载 198 次,GitHub 5,887 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。

auditing-cloud-with-cis-benchmarks 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 5,887 星,维护活跃度相对可查。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
auditing-cloud-with-cis-benchmarks

使用 CIS 基准审计云 · 本页

6065,887接触敏感数据未明确通过

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

Auditing Cloud with CIS Benchmarks

When to Use

  • When performing initial security audits of cloud environments against industry-standard benchmarks
  • When preparing for SOC 2, ISO 27001, or regulatory audits that reference CIS controls
  • When establishing a measurable security baseline for new cloud accounts or subscriptions
  • When tracking compliance improvement over time with periodic reassessment
  • When evaluating the security posture of acquired or inherited cloud environments

Do not use for runtime threat detection (see detecting-cloud-threats-with-guardduty), for application-level security testing (see conducting-cloud-penetration-testing), or for compliance frameworks not based on CIS (refer to specific regulatory skill files).

Prerequisites

  • Read-only access to target cloud accounts (AWS SecurityAudit policy, Azure Reader role, GCP Viewer role)
  • Prowler, ScoutSuite, or cloud-native CSPM tools installed and configured
  • Understanding of CIS benchmark structure: sections, controls, profiles (Level 1 and Level 2)
  • Remediation access for implementing fixes (separate from audit credentials)

Workflow

Step 1: Select Appropriate CIS Benchmark Version

Choose the correct benchmark version for each cloud provider. Current versions as of 2025 include CIS AWS Foundations Benchmark v5.0, CIS Azure Foundations Benchmark v4.0, and CIS GCP Foundations Benchmark v4.0.

CIS Benchmark Coverage Areas:
+-------------------+-------------------------+------------------------+
| Section           | AWS v5.0                | Azure v4.0             |
+-------------------+-------------------------+------------------------+
| Identity & Access | IAM policies, MFA, root | Azure AD, RBAC, PIM    |
| Logging           | CloudTrail, Config      | Activity Log, Diag     |
| Monitoring        | CloudWatch alarms       | Defender, Sentinel     |
| Networking        | VPC, SG, NACLs         | NSG, ASG, Firewall     |
| Storage           | S3 encryption, access   | Storage encryption     |
| Database          | RDS encryption          | SQL TDE, auditing      |
+-------------------+-------------------------+------------------------+

CIS Profile Levels:
  Level 1: Practical security settings that can be implemented without significant
           performance impact or reduced functionality
  Level 2: Defense-in-depth settings that may reduce functionality or require
           additional planning for implementation

Step 2: Run Automated Assessment with Prowler

Execute comprehensive CIS benchmark scans using Prowler for automated control evaluation across AWS, Azure, and GCP.

# AWS CIS v5.0 assessment
prowler aws \
  --compliance cis_5.0_aws \
  --profile audit-account \
  --output-formats json-ocsf,html,csv \
  --output-directory ./cis-audit-$(date +%Y%m%d)

# Azure CIS v4.0 assessment
prowler azure \
  --compliance cis_4.0_azure \
  --subscription-ids "sub-id-1,sub-id-2" \
  --output-formats json-ocsf,html,csv \
  --output-directory ./cis-audit-azure-$(date +%Y%m%d)

# GCP CIS v4.0 assessment
prowler gcp \
  --compliance cis_4.0_gcp \
  --project-ids "project-1,project-2" \
  --output-formats json-ocsf,html,csv \
  --output-directory ./cis-audit-gcp-$(date +%Y%m%d)

# Multi-account AWS scan using ScoutSuite
scout suite aws \
  --profile audit-account \
  --report-dir ./scout-report \
  --ruleset cis-5.0 \
  --force

Step 3: Interpret Results and Prioritize Remediation

Analyze audit results by section and severity. Prioritize Level 1 controls first as they represent fundamental security hygiene, then address Level 2 controls for defense in depth.

# Parse Prowler results for failed controls
cat ./cis-audit-*/prowler-output-*.json | \
  jq '[.[] | select(.StatusExtended == "FAIL")] | group_by(.CheckID) |
  map({control: .[0].CheckID, description: .[0].CheckTitle,
  failed_resources: length, severity: .[0].Severity}) |
  sort_by(-.failed_resources)'

# Generate compliance score by section
cat ./cis-audit-*/prowler-output-*.json | \
  jq 'group_by(.Section) | map({
    section: .[0].Section,
    total: length,
    passed: [.[] | select(.StatusExtended == "PASS")] | length,
    failed: [.[] | select(.StatusExtended == "FAIL")] | length,
    score: (([.[] | select(.StatusExtended == "PASS")] | length) / length * 100 | round)
  })'

Step 4: Remediate Critical and High Controls

Address failed controls starting with the highest impact items. Use AWS Config remediation, Azure Policy, or Terraform to apply fixes systematically.

# CIS 1.4: Ensure no root account access key exists
aws iam list-access-keys --user-name root
# If keys exist, delete them
aws iam delete-access-key --user-name root --access-key-id AKIAEXAMPLE

# CIS 2.1.1: Ensure S3 bucket default encryption is enabled
for bucket in $(aws s3api list-buckets --query 'Buckets[*].Name' --output text); do
  aws s3api put-bucket-encryption --bucket "$bucket" \
    --server-side-encryption-configuration '{
      "Rules": [{"ApplyServerSideEncryptionByDefault": {"SSEAlgorithm": "AES256"}}]
    }' 2>/dev/null && echo "Encrypted: $bucket" || echo "FAILED: $bucket"
done

# CIS 3.1: Ensure CloudTrail is enabled in all regions
aws cloudtrail create-trail \
  --name organization-trail \
  --s3-bucket-name cloudtrail-logs-bucket \
  --is-multi-region-trail \
  --enable-log-file-validation \
  --kms-key-id arn:aws:kms:us-east-1:123456789012:key/key-id

aws cloudtrail start-logging --name organization-trail

# CIS 4.x: Configure CloudWatch metric filters and alarms
aws logs put-metric-filter \
  --log-group-name CloudTrail/DefaultLogGroup \
  --filter-name UnauthorizedAPICalls \
  --filter-pattern '{ ($.errorCode = "*UnauthorizedAccess*") || ($.errorCode = "AccessDenied*") }' \
  --metric-transformations metricName=UnauthorizedAPICalls,metricNamespace=CISBenchmark,metricValue=1

Step 5: Establish Continuous Compliance Monitoring

Deploy automated compliance monitoring to detect configuration drift between periodic audits. Use AWS Security Hub, Azure Policy, or GCP Security Command Center.

# AWS: Enable CIS v5.0 in Security Hub
aws securityhub batch-enable-standards \
  --standards-subscription-requests '[
    {"StandardsArn": "arn:aws:securityhub:::ruleset/cis-aws-foundations-benchmark/v/5.0.0"}
  ]'

# Azure: Assign CIS benchmark policy initiative
az policy assignment create \
  --name cis-azure-benchmark \
  --scope "/subscriptions/<sub-id>" \
  --policy-set-definition "1a5bb27d-173f-493e-9568-eb56638dbd0e" \
  --params '{"effect": {"value": "AuditIfNotExists"}}'

# Schedule periodic Prowler assessments
# Run weekly via cron or CI/CD pipeline
0 2 * * 1 prowler aws --compliance cis_5.0_aws --output-formats csv --output-directory /opt/audits/weekly-$(date +\%Y\%m\%d)

Key Concepts

TermDefinition
CIS BenchmarkPrescriptive security configuration guidelines developed by the Center for Internet Security through community consensus
Level 1 ProfilePractical security controls implementable without significant performance or functionality impact, representing security hygiene
Level 2 ProfileDefense-in-depth controls that may restrict functionality and require careful planning before implementation
Foundations BenchmarkCIS benchmark specifically for cloud providers covering IAM, logging, monitoring, networking, and storage security
Control IDUnique numerical identifier for each CIS recommendation (e.g., 1.4 for root access key checks, 2.1.1 for S3 encryption)
Compliance ScorePercentage of CIS controls in a passing state, tracked over time to measure security posture improvement
Automated AssessmentTool-driven evaluation of CIS controls using cloud provider APIs to check resource configurations against benchmark requirements
Remediation RunbookDocumented step-by-step procedure for fixing a specific failed CIS control, including pre-checks and validation

Tools & Systems

  • Prowler: Open-source cloud security tool performing 300+ checks including CIS benchmark assessments for AWS, Azure, and GCP
  • ScoutSuite: Multi-cloud security auditing tool with CIS benchmark rule sets generating HTML reports
  • AWS Security Hub: Native AWS service supporting CIS AWS Foundations Benchmark as a security standard
  • Azure Policy: Governance service with built-in CIS benchmark policy initiatives for automated compliance monitoring
  • GCP Security Command Center: Native GCP service evaluating configurations against CIS GCP Foundations Benchmark

Common Scenarios

Scenario: Pre-Audit CIS Assessment for SOC 2 Certification

Context: A SaaS company pursuing SOC 2 Type II certification needs to demonstrate cloud security controls aligned to CIS benchmarks. The auditor requires evidence of continuous compliance monitoring across 45 AWS accounts.

Approach:

  1. Run Prowler CIS v5.0 assessment across all 45 accounts to establish the baseline compliance score
  2. Export results to CSV and categorize failures by section (IAM, Logging, Monitoring, Networking)
  3. Map each CIS control to the relevant SOC 2 Trust Services Criteria (CC6.1, CC6.6, CC7.1, etc.)
  4. Remediate all Level 1 control failures within 30 days and Level 2 within 60 days
  5. Enable CIS v5.0 in AWS Security Hub for continuous monitoring and automated drift detection
  6. Generate weekly compliance reports showing improvement trajectory for the auditor
  7. Document exceptions for controls intentionally not implemented with risk acceptance justification

Pitfalls: Remediating controls without testing in a staging environment first can break production workloads. Ignoring Level 2 controls entirely weakens the audit narrative even if they are not strictly required.

Output Format

CIS Benchmark Audit Report
============================
Cloud Provider: AWS
Benchmark Version: CIS AWS Foundations Benchmark v5.0
Accounts Assessed: 45
Assessment Date: 2025-02-23
Tool: Prowler v4.3.0

OVERALL COMPLIANCE SCORE: 74%

COMPLIANCE BY SECTION:
  1. Identity and Access Management:  68% (41/60 controls passed)
  2. Storage:                         82% (28/34 controls passed)
  3. Logging:                         91% (20/22 controls passed)
  4. Monitoring:                      55% (18/33 controls passed)
  5. Networking:                      78% (32/41 controls passed)

TOP FAILED CONTROLS (by affected accounts):
  [1.4]   Root account has active access keys           - 3/45 accounts
  [1.5]   MFA not enabled for root account              - 2/45 accounts
  [2.1.1] S3 default encryption not enabled             - 12/45 accounts
  [3.1]   CloudTrail not multi-region                   - 8/45 accounts
  [4.3]   No alarm for root account usage               - 28/45 accounts
  [5.1]   VPC flow logs not enabled                     - 15/45 accounts
  [5.4]   Security groups allow 0.0.0.0/0 ingress      - 22/45 accounts

REMEDIATION PRIORITY:
  Critical (Fix within 7 days):  Root access keys, missing root MFA
  High (Fix within 30 days):     S3 encryption, CloudTrail, VPC flow logs
  Medium (Fix within 60 days):   CloudWatch alarms, security group restrictions
  Low (Fix within 90 days):      Level 2 controls, informational items

平台分布

Codex

35.33%
按下载量换算70

Claude

31.16%
按下载量换算62

Cursor

21.04%
按下载量换算42

Gemini CLI

9.25%
按下载量换算18

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

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