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detecting-aws-guardduty-findings-automation(detecting AWS guardduty findings 自动化)

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

detecting-aws-guardduty-findings-automation 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,第三方扫描已通过,按安装量在研究检索类的 73,674 个 Skill 里排第 71,596。

总安装 194周安装 8GitHub Stars 5,913下载 63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:detecting-aws-guardduty-findings-automation(detecting AWS guardduty findings 自动化)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/detecting-aws-guardduty-findings-automation
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill detecting-aws-guardduty-findings-automation
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 detecting-aws-guardduty-findings-automation

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。

用于检测 AWS GuardDuty 威胁发现并实现自动化响应,提升安全事件处置效率。适用于监控 VPC 流日志、CloudTrail 事件和 S3 数据活动,识别恶意行为。通过 EventBridge 与 Lambda 集成,支持实时告警与自动修复流程。

需配置 GuardDuty、EventBridge 及 IAM 权限,确保跨区域账号访问能力。detecting-aws-guardduty-findings-automation 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/detecting-aws-guardduty-findings-automation

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

detecting-aws-guardduty-findings-automation 怎么安装?

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

detecting-aws-guardduty-findings-automation 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。

detecting-aws-guardduty-findings-automation 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。

detecting-aws-guardduty-findings-automation 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。

detecting-aws-guardduty-findings-automation 用的人多吗?

公开数据是累计安装 194 次,近一周安装 8 次,下载 63 次,GitHub 5,913 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。

detecting-aws-guardduty-findings-automation 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 5,913 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
detecting-aws-guardduty-findings-automation

detecting AWS guardduty findings 自动化 · 本页

1945,913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

Detecting AWS GuardDuty Findings Automation

Overview

Amazon GuardDuty is a threat detection service that continuously monitors AWS accounts for malicious activity and unauthorized behavior. By integrating GuardDuty with Amazon EventBridge and AWS Lambda, security teams achieve automated, real-time responses to threats, reducing mean time to response (MTTR) from hours to seconds. GuardDuty analyzes VPC Flow Logs, CloudTrail management and data events, DNS logs, EKS audit logs, and S3 data events.

When to Use

  • When investigating security incidents that require detecting aws guardduty findings automation
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • AWS account with GuardDuty enabled
  • IAM roles for Lambda execution
  • EventBridge configured for GuardDuty events
  • SNS topic for security notifications
  • Security Hub integration (recommended)

Enable GuardDuty

# Enable GuardDuty
aws guardduty create-detector --enable --finding-publishing-frequency FIFTEEN_MINUTES

# Enable additional data sources
aws guardduty update-detector \
  --detector-id DETECTOR_ID \
  --data-sources '{
    "S3Logs": {"Enable": true},
    "Kubernetes": {"AuditLogs": {"Enable": true}},
    "MalwareProtection": {"ScanEc2InstanceWithFindings": {"EbsVolumes": true}},
    "RuntimeMonitoring": {"Enable": true}
  }'

EventBridge Rule Configuration

Rule for high-severity findings

{
  "source": ["aws.guardduty"],
  "detail-type": ["GuardDuty Finding"],
  "detail": {
    "severity": [{"numeric": [">=", 7.0]}]
  }
}

Create EventBridge rule via CLI

aws events put-rule \
  --name "guardduty-high-severity" \
  --event-pattern '{
    "source": ["aws.guardduty"],
    "detail-type": ["GuardDuty Finding"],
    "detail": {
      "severity": [{"numeric": [">=", 7.0]}]
    }
  }'

aws events put-targets \
  --rule "guardduty-high-severity" \
  --targets "Id"="lambda-handler","Arn"="arn:aws:lambda:us-east-1:123456789012:function:guardduty-response"

Lambda Automated Response Functions

EC2 Instance Isolation

import boto3
import json
import os

ec2 = boto3.client('ec2')
sns = boto3.client('sns')

QUARANTINE_SG = os.environ.get('QUARANTINE_SECURITY_GROUP')
SNS_TOPIC = os.environ.get('SNS_TOPIC_ARN')

def lambda_handler(event, context):
    finding = event['detail']
    finding_type = finding['type']
    severity = finding['severity']
    account_id = finding['accountId']
    region = finding['region']

    # Extract resource information
    resource = finding.get('resource', {})
    resource_type = resource.get('resourceType', '')

    if resource_type == 'Instance':
        instance_id = resource['instanceDetails']['instanceId']
        instance_tags = {t['key']: t['value']
                        for t in resource['instanceDetails'].get('tags', [])}

        # Skip if already quarantined
        if instance_tags.get('SecurityStatus') == 'Quarantined':
            return {'statusCode': 200, 'body': 'Already quarantined'}

        # Get current security groups for forensics
        instance = ec2.describe_instances(InstanceIds=[instance_id])
        current_sgs = [sg['GroupId'] for sg in
                       instance['Reservations'][0]['Instances'][0]['SecurityGroups']]

        # Tag instance with finding info and original SGs
        ec2.create_tags(
            Resources=[instance_id],
            Tags=[
                {'Key': 'SecurityStatus', 'Value': 'Quarantined'},
                {'Key': 'GuardDutyFinding', 'Value': finding_type},
                {'Key': 'OriginalSecurityGroups', 'Value': ','.join(current_sgs)},
                {'Key': 'QuarantineTime', 'Value': finding['updatedAt']}
            ]
        )

        # Move to quarantine security group (blocks all traffic)
        if QUARANTINE_SG:
            ec2.modify_instance_attribute(
                InstanceId=instance_id,
                Groups=[QUARANTINE_SG]
            )

        # Create EBS snapshots for forensics
        volumes = ec2.describe_volumes(
            Filters=[{'Name': 'attachment.instance-id', 'Values': [instance_id]}]
        )
        for vol in volumes['Volumes']:
            ec2.create_snapshot(
                VolumeId=vol['VolumeId'],
                Description=f'GuardDuty forensic snapshot - {finding_type}',
                TagSpecifications=[{
                    'ResourceType': 'snapshot',
                    'Tags': [
                        {'Key': 'Purpose', 'Value': 'ForensicCapture'},
                        {'Key': 'SourceInstance', 'Value': instance_id},
                        {'Key': 'FindingType', 'Value': finding_type}
                    ]
                }]
            )

        # Notify security team
        sns.publish(
            TopicArn=SNS_TOPIC,
            Subject=f'[GuardDuty] {finding_type} - Instance {instance_id} Quarantined',
            Message=json.dumps({
                'action': 'instance_quarantined',
                'instance_id': instance_id,
                'finding_type': finding_type,
                'severity': severity,
                'account': account_id,
                'region': region,
                'original_security_groups': current_sgs,
                'description': finding.get('description', '')
            }, indent=2)
        )

        return {
            'statusCode': 200,
            'body': f'Instance {instance_id} quarantined and snapshots created'
        }

    return {'statusCode': 200, 'body': 'Non-EC2 finding processed'}

IAM Credential Compromise Response

import boto3
import json
import os

iam = boto3.client('iam')
sns = boto3.client('sns')

SNS_TOPIC = os.environ.get('SNS_TOPIC_ARN')

def lambda_handler(event, context):
    finding = event['detail']
    finding_type = finding['type']

    if 'IAMUser' not in finding_type and 'UnauthorizedAccess' not in finding_type:
        return {'statusCode': 200, 'body': 'Not an IAM finding'}

    resource = finding.get('resource', {})
    access_key_details = resource.get('accessKeyDetails', {})
    user_name = access_key_details.get('userName', '')
    access_key_id = access_key_details.get('accessKeyId', '')

    if not user_name:
        return {'statusCode': 200, 'body': 'No user identified'}

    actions_taken = []

    # Deactivate the compromised access key
    if access_key_id and access_key_id != 'GeneratedFindingAccessKeyId':
        try:
            iam.update_access_key(
                UserName=user_name,
                AccessKeyId=access_key_id,
                Status='Inactive'
            )
            actions_taken.append(f'Deactivated access key {access_key_id}')
        except Exception as e:
            actions_taken.append(f'Failed to deactivate key: {str(e)}')

    # Attach deny-all policy to user
    deny_policy = {
        "Version": "2012-10-17",
        "Statement": [{
            "Effect": "Deny",
            "Action": "*",
            "Resource": "*"
        }]
    }

    try:
        iam.put_user_policy(
            UserName=user_name,
            PolicyName='GuardDuty-DenyAll-Quarantine',
            PolicyDocument=json.dumps(deny_policy)
        )
        actions_taken.append(f'Applied deny-all policy to {user_name}')
    except Exception as e:
        actions_taken.append(f'Failed to apply deny policy: {str(e)}')

    # Notify
    sns.publish(
        TopicArn=SNS_TOPIC,
        Subject=f'[GuardDuty] IAM Compromise - {user_name}',
        Message=json.dumps({
            'finding_type': finding_type,
            'user': user_name,
            'access_key': access_key_id,
            'actions_taken': actions_taken,
            'severity': finding['severity']
        }, indent=2)
    )

    return {'statusCode': 200, 'body': json.dumps(actions_taken)}

Terraform Deployment

resource "aws_guardduty_detector" "main" {
  enable = true
  finding_publishing_frequency = "FIFTEEN_MINUTES"

  datasources {
    s3_logs { enable = true }
    kubernetes { audit_logs { enable = true } }
    malware_protection {
      scan_ec2_instance_with_findings {
        ebs_volumes { enable = true }
      }
    }
  }
}

resource "aws_cloudwatch_event_rule" "guardduty_high" {
  name        = "guardduty-high-severity"
  description = "GuardDuty high severity findings"

  event_pattern = jsonencode({
    source      = ["aws.guardduty"]
    detail-type = ["GuardDuty Finding"]
    detail = {
      severity = [{ numeric = [">=", 7.0] }]
    }
  })
}

resource "aws_cloudwatch_event_target" "lambda" {
  rule = aws_cloudwatch_event_rule.guardduty_high.name
  arn  = aws_lambda_function.guardduty_response.arn
}

Finding Categories

CategorySeverity RangeExamples
Backdoor5.0 - 8.0Backdoor:EC2/C&CActivity
CryptoCurrency5.0 - 8.0CryptoCurrency:EC2/BitcoinTool
Trojan5.0 - 8.0Trojan:EC2/BlackholeTraffic
UnauthorizedAccess5.0 - 8.0UnauthorizedAccess:IAMUser/ConsoleLogin
Recon2.0 - 5.0Recon:EC2/PortProbeUnprotected
Persistence5.0 - 8.0Persistence:IAMUser/AnomalousBehavior

Multi-Account Setup

# Designate GuardDuty administrator
aws guardduty enable-organization-admin-account \
  --admin-account-id 111111111111

# Auto-enable for new accounts
aws guardduty update-organization-configuration \
  --detector-id DETECTOR_ID \
  --auto-enable

References

平台分布

Codex

36.46%
按下载量换算23

Claude

30.95%
按下载量换算19

Cursor

20.35%
按下载量换算13

Gemini CLI

9.17%
按下载量换算6

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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