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Agent Skill · 研究检索

securing-aws-iam-permissions(securing AWS IAM permissions 搜索)

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。

securing-aws-iam-permissions 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 73,675 个 Skill 里排第 68,166。

总安装 235周安装 10GitHub Stars 5,908下载 82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:securing-aws-iam-permissions(securing AWS IAM permissions 搜索)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/securing-aws-iam-permissions
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill securing-aws-iam-permissions
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 securing-aws-iam-permissions

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。

用于辅助云资源、部署、容器、基础设施和运维自动化任务。适合检查配置、整理部署步骤、分析资源状态或生成排障思路。使用时需明确目标环境、账号权限和资源组,区分测试与生产操作。

安装命令:npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill securing-aws-iam-permissions。涉及删除或修改配置时,应先确认影响范围。

来源仓库内路径:skills/securing-aws-iam-permissions

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

securing-aws-iam-permissions 怎么安装?

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

securing-aws-iam-permissions 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。

securing-aws-iam-permissions 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。

securing-aws-iam-permissions 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。

securing-aws-iam-permissions 用的人多吗?

公开数据是累计安装 235 次,近一周安装 10 次,下载 82 次,GitHub 5,908 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。

securing-aws-iam-permissions 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 5,908 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
securing-aws-iam-permissions

securing AWS IAM permissions 搜索 · 本页

2355,908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

Securing AWS IAM Permissions

When to Use

  • When onboarding new AWS accounts or workloads that require scoped IAM policies
  • When IAM Access Analyzer reports overly permissive policies or unused permissions
  • When preparing for a compliance audit requiring least privilege evidence (SOC 2, PCI-DSS)
  • When migrating from long-lived access keys to short-lived role-based credentials
  • When remediating findings from AWS Security Hub related to IAM misconfigurations

Do not use for Azure AD or Google Cloud IAM configurations, application-level authorization logic, or federated identity provider setup (see managing-cloud-identity-with-okta).

Prerequisites

  • AWS account with administrative access or IAM:FullAccess permissions
  • AWS CLI v2 installed and configured with named profiles
  • AWS CloudTrail enabled for at least 90 days of API activity history
  • Familiarity with JSON-based IAM policy syntax and ARN resource notation

Workflow

Step 1: Inventory Existing IAM Entities and Policies

Generate a comprehensive inventory of all IAM users, roles, groups, and attached policies using the AWS CLI and IAM credential reports. Identify accounts with console access, programmatic access keys, and their last-used timestamps.

# Generate IAM credential report
aws iam generate-credential-report
aws iam get-credential-report --query 'Content' --output text | base64 -d > iam-report.csv

# List all IAM roles and their attached policies
aws iam list-roles --query 'Roles[*].[RoleName,Arn,CreateDate]' --output table

# Find users with access keys older than 90 days
aws iam list-users --query 'Users[*].UserName' --output text | while read user; do
  aws iam list-access-keys --user-name "$user" \
    --query "AccessKeyMetadata[?CreateDate<='$(date -d '-90 days' +%Y-%m-%d)'].[UserName,AccessKeyId,Status,CreateDate]" \
    --output table
done

Step 2: Enable and Analyze IAM Access Analyzer Findings

Activate IAM Access Analyzer at the organization or account level to identify resources shared externally and generate least-privilege policy recommendations based on CloudTrail activity.

# Create an Access Analyzer for the account
aws accessanalyzer create-analyzer \
  --analyzer-name account-analyzer \
  --type ACCOUNT

# List active findings for external access
aws accessanalyzer list-findings \
  --analyzer-arn arn:aws:access-analyzer:us-east-1:123456789012:analyzer/account-analyzer \
  --filter '{"status": {"eq": ["ACTIVE"]}}'

# Generate a policy based on CloudTrail activity for a specific role
aws accessanalyzer start-policy-generation \
  --policy-generation-details '{
    "principalArn": "arn:aws:iam::123456789012:role/AppRole",
    "cloudTrailDetails": {
      "trailArn": "arn:aws:cloudtrail:us-east-1:123456789012:trail/management-trail",
      "startTime": "2025-01-01T00:00:00Z",
      "endTime": "2025-03-01T00:00:00Z"
    }
  }'

Step 3: Scope Policies to Specific Resources and Conditions

Replace wildcard resource ARNs with specific resource identifiers. Add IAM policy conditions for MFA enforcement, source IP restrictions, and time-based access windows.

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "AllowS3ReadSpecificBucket",
      "Effect": "Allow",
      "Action": [
        "s3:GetObject",
        "s3:ListBucket"
      ],
      "Resource": [
        "arn:aws:s3:::production-data-bucket",
        "arn:aws:s3:::production-data-bucket/*"
      ],
      "Condition": {
        "Bool": {"aws:MultiFactorAuthPresent": "true"},
        "IpAddress": {"aws:SourceIp": "10.0.0.0/8"},
        "DateGreaterThan": {"aws:CurrentTime": "2025-01-01T00:00:00Z"}
      }
    }
  ]
}

Step 4: Implement Permission Boundaries

Attach permission boundaries to IAM roles and users to define the maximum scope of permissions an entity can receive, preventing privilege escalation even if an administrator attaches an overly permissive policy.

# Create a permission boundary policy
aws iam create-policy \
  --policy-name DeveloperPermissionBoundary \
  --policy-document file://developer-boundary.json

# Attach the boundary to an IAM role
aws iam put-role-permissions-boundary \
  --role-name DeveloperRole \
  --permissions-boundary "arn:aws:iam::123456789012:policy/DeveloperPermissionBoundary"
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "AllowCommonServices",
      "Effect": "Allow",
      "Action": [
        "s3:*",
        "dynamodb:*",
        "lambda:*",
        "logs:*",
        "cloudwatch:*"
      ],
      "Resource": "*"
    },
    {
      "Sid": "DenyIAMChanges",
      "Effect": "Deny",
      "Action": [
        "iam:CreateUser",
        "iam:DeleteUser",
        "iam:CreateRole",
        "iam:DeleteRole",
        "iam:AttachRolePolicy",
        "iam:PutRolePermissionsBoundary"
      ],
      "Resource": "*"
    }
  ]
}

Step 5: Enforce MFA and Eliminate Long-Lived Credentials

Require MFA for all human users accessing the AWS console and CLI. Migrate workloads from IAM user access keys to IAM roles with temporary credentials via STS AssumeRole.

# Enforce MFA via SCP at the organization level
aws organizations create-policy \
  --name RequireMFA \
  --type SERVICE_CONTROL_POLICY \
  --content '{
    "Version": "2012-10-17",
    "Statement": [
      {
        "Sid": "DenyAllExceptMFA",
        "Effect": "Deny",
        "NotAction": [
          "iam:CreateVirtualMFADevice",
          "iam:EnableMFADevice",
          "iam:ListMFADevices",
          "iam:ResyncMFADevice",
          "sts:GetSessionToken"
        ],
        "Resource": "*",
        "Condition": {
          "BoolIfExists": {"aws:MultiFactorAuthPresent": "false"}
        }
      }
    ]
  }'

# Deactivate unused access keys
aws iam update-access-key --user-name old-user --access-key-id AKIAEXAMPLE --status Inactive

Step 6: Automate Continuous IAM Monitoring

Deploy AWS Config rules and Security Hub controls to continuously evaluate IAM posture. Set up EventBridge rules to alert on high-risk IAM changes such as new root access key creation or policy modifications.

# Enable AWS Config rule for IAM password policy
aws configservice put-config-rule \
  --config-rule '{
    "ConfigRuleName": "iam-password-policy",
    "Source": {
      "Owner": "AWS",
      "SourceIdentifier": "IAM_PASSWORD_POLICY"
    },
    "InputParameters": "{\"RequireUppercaseCharacters\":\"true\",\"RequireLowercaseCharacters\":\"true\",\"RequireSymbols\":\"true\",\"RequireNumbers\":\"true\",\"MinimumPasswordLength\":\"14\",\"MaxPasswordAge\":\"90\"}"
  }'

# EventBridge rule to detect root account usage
aws events put-rule \
  --name DetectRootUsage \
  --event-pattern '{
    "detail-type": ["AWS API Call via CloudTrail"],
    "detail": {
      "userIdentity": {"type": ["Root"]}
    }
  }'

Key Concepts

TermDefinition
Least PrivilegeGranting only the minimum permissions required for an identity to perform its function
Permission BoundaryAn advanced IAM feature that sets the maximum permissions an entity can have, regardless of attached policies
IAM Access AnalyzerAWS service that uses automated reasoning to identify resources shared externally and generate least-privilege policies from CloudTrail activity
Service Control Policy (SCP)Organization-level policy that sets permission guardrails across all accounts in an AWS Organization
Assume RoleSTS operation that returns temporary security credentials for cross-account or service-to-service access
Credential ReportAWS-generated CSV listing all IAM users, their access keys, MFA status, and last activity timestamps
Policy ConditionConstraints in IAM policies that restrict when and how permissions apply, such as MFA requirements or IP ranges
Identity FederationAllowing external identity providers to grant temporary AWS access without creating IAM users

Tools & Systems

  • AWS IAM Access Analyzer: Generates least-privilege policies from CloudTrail activity and identifies resources shared with external entities
  • AWS Config: Continuously evaluates IAM configuration compliance against managed and custom rules
  • AWS Security Hub: Aggregates IAM security findings from Access Analyzer, Config, and third-party tools into a unified dashboard
  • IAM Policy Simulator: Tests the effects of IAM policies before deployment by simulating API calls against policy evaluation logic
  • Prowler: Open-source AWS security assessment tool that runs over 300 checks including IAM best practices and CIS benchmark controls

Common Scenarios

Scenario: Developer Role Over-Provisioned with AdministratorAccess

Context: A startup attached the AWS-managed AdministratorAccess policy to all developer roles for speed during early development. A security audit reveals 15 roles with full account access while developers only use S3, Lambda, and DynamoDB.

Approach:

  1. Enable IAM Access Analyzer and generate policy recommendations based on 90 days of CloudTrail data for each role
  2. Create scoped policies allowing only the specific S3 buckets, Lambda functions, and DynamoDB tables each team accesses
  3. Attach a permission boundary denying IAM, Organizations, and billing actions
  4. Deploy the new policies in a parallel role with CloudTrail monitoring before replacing the original
  5. Remove AdministratorAccess and rotate all access keys

Pitfalls: Replacing policies without a parallel testing period causes service disruptions. Forgetting to scope Lambda:InvokeFunction to specific function ARNs leaves lateral movement paths open.

Scenario: Rotating Compromised Access Keys Across Multiple Services

Context: An access key is found in a public GitHub repository. The key belongs to an IAM user with S3 and EC2 permissions across three AWS accounts.

Approach:

  1. Immediately deactivate the compromised key using aws iam update-access-key --status Inactive
  2. Review CloudTrail logs for all API calls made with the compromised key in the past 30 days
  3. Create a new access key for the user and update all dependent services and CI/CD pipelines
  4. Delete the compromised key after confirming all services use the new credentials
  5. Migrate the workload to use IAM roles with STS temporary credentials to prevent future key exposure

Pitfalls: Deleting the key before deactivating it prevents forensic analysis of which services relied on it. Failing to check all three accounts for unauthorized activity leaves potential backdoors undetected.

Output Format

IAM Security Assessment Report
==============================
Account ID: 123456789012
Assessment Date: 2025-02-23
Analyzer: IAM Access Analyzer + Prowler v4.3

CRITICAL FINDINGS:
[C-001] Root account has active access keys
  - Resource: arn:aws:iam::123456789012:root
  - Remediation: Delete root access keys, enable MFA on root
  - CIS Benchmark: 1.4 (Ensure no root account access key exists)

[C-002] IAM user 'deploy-bot' has AdministratorAccess with no MFA
  - Resource: arn:aws:iam::123456789012:user/deploy-bot
  - Last Activity: 2025-02-20
  - Remediation: Replace with IAM role, enforce MFA condition

HIGH FINDINGS:
[H-001] 3 IAM policies use wildcard Resource "*" with sensitive actions
  - Policies: DevPolicy, CIPolicy, LegacyAdminPolicy
  - Remediation: Scope resources to specific ARNs using Access Analyzer

[H-002] 7 access keys older than 90 days detected
  - Users: svc-backup, svc-monitoring, dev-alice, dev-bob, ...
  - Remediation: Rotate keys, migrate to role-based access

SUMMARY:
  Total Findings: 14
  Critical: 2 | High: 4 | Medium: 5 | Low: 3
  Compliance Score: 62% (CIS AWS Foundations Benchmark v3.0)

平台分布

Codex

34.25%
按下载量换算28

Claude

34%
按下载量换算28

Cursor

18.77%
按下载量换算15

Gemini CLI

10.25%
按下载量换算8

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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