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Agent Skill · 研究检索

auditing-gcp-iam-permissions(审核 gcp iam 权限)

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。

auditing-gcp-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,权限为需要联网;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 49,774。

总安装 636周安装 26GitHub Stars 5,899下载 204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-gcp-iam-permissions(审核 gcp iam 权限)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/auditing-gcp-iam-permissions
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill auditing-gcp-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 auditing-gcp-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。

用于审核 Google Cloud IAM 权限配置,识别过度授权与闲置访问风险。支持组织级或项目级策略分析,输出权限最小化建议与合规差距。适用于降低凭证泄露后的横向移动风险与满足审计要求。不涉及防火墙规则或 Kubernetes RBAC 检查,需配合专用工具使用。

auditing-gcp-iam-permissions 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/auditing-gcp-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

auditing-gcp-iam-permissions 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-gcp-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。

auditing-gcp-iam-permissions 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。

auditing-gcp-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。

auditing-gcp-iam-permissions 用的人多吗?

公开数据是累计安装 636 次,近一周安装 26 次,下载 204 次,GitHub 5,899 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-gcp-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 5,899 星,维护活跃度相对可查。

先想清楚的地方

  • 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

  • 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
auditing-gcp-iam-permissions

审核 gcp iam 权限 · 本页

6365,899需要联网未明确通过

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 GCP IAM Permissions

When to Use

  • When performing security assessments of GCP organization or project IAM configurations
  • When identifying service accounts with excessive permissions or unused access
  • When compliance requirements mandate review of access controls and role assignments
  • When investigating potential lateral movement through IAM misconfigurations
  • When reducing the blast radius of compromised credentials by scoping down permissions

Do not use for VPC firewall rule auditing (use network security tools), for GKE RBAC auditing (use Kubernetes-specific RBAC tools), or for real-time threat detection on IAM actions (use SCC Event Threat Detection).

Prerequisites

  • GCP organization or project with roles/iam.securityReviewer and roles/cloudAsset.viewer
  • gcloud CLI authenticated with appropriate permissions
  • Cloud Asset API enabled (gcloud services enable cloudasset.googleapis.com)
  • IAM Recommender API enabled (gcloud services enable recommender.googleapis.com)
  • Policy Analyzer API enabled (gcloud services enable policyanalyzer.googleapis.com)

Workflow

Step 1: Enumerate IAM Bindings Across the Organization

List all IAM bindings at organization, folder, and project levels to understand the full access landscape.

# Organization-level IAM bindings
gcloud organizations get-iam-policy ORG_ID \
  --format=json > org-iam-policy.json

# Search all IAM policies across the organization
gcloud asset search-all-iam-policies \
  --scope=organizations/ORG_ID \
  --format="table(resource, policy.bindings.role, policy.bindings.members)" \
  --limit=500

# Find all users and service accounts with Owner role
gcloud asset search-all-iam-policies \
  --scope=organizations/ORG_ID \
  --query="policy:roles/owner" \
  --format="table(resource, policy.bindings.members)"

# Find all bindings using primitive roles (Owner, Editor, Viewer)
gcloud asset search-all-iam-policies \
  --scope=organizations/ORG_ID \
  --query="policy:roles/owner OR policy:roles/editor" \
  --format=json | python3 -c "
import json, sys
data = json.load(sys.stdin)
for result in data:
    resource = result.get('resource', '')
    for binding in result.get('policy', {}).get('bindings', []):
        role = binding.get('role', '')
        if role in ['roles/owner', 'roles/editor']:
            for member in binding.get('members', []):
                print(f'{resource} | {role} | {member}')
"

Step 2: Audit Service Accounts and Their Keys

Identify service accounts with excessive permissions, user-managed keys, and unused accounts.

# List all service accounts in a project
gcloud iam service-accounts list \
  --project=PROJECT_ID \
  --format="table(email, displayName, disabled)"

# Check for user-managed keys (should be minimized)
for sa in $(gcloud iam service-accounts list --project=PROJECT_ID --format="value(email)"); do
  keys=$(gcloud iam service-accounts keys list \
    --iam-account="$sa" \
    --managed-by=user \
    --format="table(name.basename(),validAfterTime,validBeforeTime)")
  if [ -n "$keys" ]; then
    echo "=== $sa ==="
    echo "$keys"
  fi
done

# Find service accounts with admin roles across all projects
gcloud asset search-all-iam-policies \
  --scope=organizations/ORG_ID \
  --query="policy.bindings.members:serviceAccount AND (policy:roles/owner OR policy:roles/editor OR policy:admin)" \
  --format="table(resource, policy.bindings.role, policy.bindings.members)"

# Check service account IAM policies (who can impersonate)
for sa in $(gcloud iam service-accounts list --project=PROJECT_ID --format="value(email)"); do
  echo "=== $sa ==="
  gcloud iam service-accounts get-iam-policy "$sa" --format=json 2>/dev/null
done

Step 3: Use IAM Recommender to Identify Excess Permissions

Leverage GCP's IAM Recommender to find roles that grant more access than actually used.

# List IAM role recommendations for a project
gcloud recommender recommendations list \
  --project=PROJECT_ID \
  --recommender=google.iam.policy.Recommender \
  --location=global \
  --format="table(name, description, priority, stateInfo.state)"

# Get detailed recommendation
gcloud recommender recommendations describe RECOMMENDATION_ID \
  --project=PROJECT_ID \
  --recommender=google.iam.policy.Recommender \
  --location=global \
  --format=json

# List insights about IAM usage
gcloud recommender insights list \
  --project=PROJECT_ID \
  --insight-type=google.iam.policy.Insight \
  --location=global \
  --format="table(name, description, severity, category)"

# Apply a recommendation (after review)
gcloud recommender recommendations mark-claimed RECOMMENDATION_ID \
  --project=PROJECT_ID \
  --recommender=google.iam.policy.Recommender \
  --location=global \
  --etag=ETAG

Step 4: Analyze Effective Permissions with Policy Analyzer

Use Policy Analyzer to determine effective access for specific principals or resources.

# Check who has access to a specific resource
gcloud asset analyze-iam-policy \
  --organization=ORG_ID \
  --full-resource-name="//storage.googleapis.com/projects/_/buckets/sensitive-data-bucket" \
  --format="table(identityList.identities, accessControlLists.accesses.role)"

# Check what resources a specific user can access
gcloud asset analyze-iam-policy \
  --organization=ORG_ID \
  --identity="user:developer@company.com" \
  --format="table(accessControlLists.resources.fullResourceName, accessControlLists.accesses.role)"

# Check who can perform a specific action
gcloud asset analyze-iam-policy \
  --organization=ORG_ID \
  --full-resource-name="//cloudresourcemanager.googleapis.com/projects/PROJECT_ID" \
  --permissions="iam.serviceAccounts.actAs,iam.serviceAccountKeys.create" \
  --format="table(identityList.identities, accessControlLists.accesses.permission)"

# Find all principals with allUsers or allAuthenticatedUsers access
gcloud asset search-all-iam-policies \
  --scope=organizations/ORG_ID \
  --query="policy:allUsers OR policy:allAuthenticatedUsers" \
  --format="table(resource, policy.bindings.role, policy.bindings.members)"

Step 5: Check for Domain-Wide Delegation and Impersonation Risks

Identify service accounts with domain-wide delegation and impersonation capabilities.

# Check for service accounts with domain-wide delegation
# (Requires Admin SDK access to list delegated accounts)
gcloud iam service-accounts list --project=PROJECT_ID --format=json | python3 -c "
import json, sys
accounts = json.load(sys.stdin)
for sa in accounts:
    email = sa.get('email', '')
    # Check if the SA has domain-wide delegation enabled
    # This requires Admin SDK API access
    print(f'SA: {email} - Check admin.google.com for delegation status')
"

# Find service accounts that other identities can impersonate
for sa in $(gcloud iam service-accounts list --project=PROJECT_ID --format="value(email)"); do
  policy=$(gcloud iam service-accounts get-iam-policy "$sa" --format=json 2>/dev/null)
  if echo "$policy" | python3 -c "
import json, sys
p = json.load(sys.stdin)
for b in p.get('bindings', []):
    if b['role'] in ['roles/iam.serviceAccountTokenCreator', 'roles/iam.serviceAccountUser']:
        print(f'  {b[\"role\"]}: {b[\"members\"]}')
" 2>/dev/null; then
    echo "=== Impersonation risk: $sa ==="
  fi
done

Step 6: Generate Audit Report and Apply Remediation

Compile findings and implement recommended permission reductions.

# Remove primitive role and replace with predefined role
gcloud projects remove-iam-policy-binding PROJECT_ID \
  --member="user:developer@company.com" \
  --role="roles/editor"

gcloud projects add-iam-policy-binding PROJECT_ID \
  --member="user:developer@company.com" \
  --role="roles/compute.viewer"

gcloud projects add-iam-policy-binding PROJECT_ID \
  --member="user:developer@company.com" \
  --role="roles/storage.objectViewer"

# Delete unused service account keys
gcloud iam service-accounts keys delete KEY_ID \
  --iam-account=SA_EMAIL

# Disable unused service accounts
gcloud iam service-accounts disable SA_EMAIL --project=PROJECT_ID

Key Concepts

TermDefinition
Primitive RoleLegacy GCP roles (Owner, Editor, Viewer) that grant broad permissions across all services, not recommended for production
Predefined RoleGCP-managed role scoped to specific services and actions, providing more granular access than primitive roles
IAM RecommenderGCP ML-based service that analyzes actual permission usage and suggests role reductions to achieve least privilege
Policy AnalyzerTool for analyzing effective IAM access across the organization hierarchy, answering who-can-access-what queries
Service Account KeyUser-managed credential for service account authentication, a security risk as keys can be exported and do not auto-expire
Domain-Wide DelegationGrants a service account the ability to impersonate any user in the Google Workspace domain, a significant privilege escalation risk

Tools & Systems

  • gcloud CLI: Primary tool for querying and managing GCP IAM policies, service accounts, and role bindings
  • IAM Recommender: ML-based recommendation engine for reducing excessive permissions based on actual usage
  • Policy Analyzer: Organization-wide effective access analysis tool for understanding who can access what
  • Cloud Asset Inventory: Cross-project search for IAM policies and resource metadata
  • ScoutSuite: Multi-cloud auditing tool with GCP IAM-specific checks for role assignments and service accounts

Common Scenarios

Scenario: Reducing Primitive Role Usage Across a GCP Organization

Context: An audit reveals that 60% of IAM bindings across the organization use primitive roles (Owner/Editor). The security team needs to migrate to predefined roles without disrupting developer workflows.

Approach:

  1. Run gcloud asset search-all-iam-policies to inventory all primitive role bindings
  2. Use IAM Recommender to get ML-based suggestions for replacement predefined roles
  3. For each binding, use Policy Analyzer to understand what the principal actually accesses
  4. Create a mapping document: primitive role -> specific predefined roles needed
  5. Apply predefined roles alongside primitive roles for a testing period
  6. Monitor for access denied errors using Cloud Audit Logs
  7. Remove primitive roles after confirming no access issues over 2 weeks

Pitfalls: Primitive roles include permissions across all GCP services, so replacing them requires multiple predefined roles. The Recommender may suggest overly restrictive roles if the observation period does not capture all use cases. Custom roles can fill gaps where no predefined role matches the exact permission set needed.

Output Format

GCP IAM Permissions Audit Report
===================================
Organization: acme-org (ORG_ID: 123456789)
Projects Audited: 25
Audit Date: 2026-02-23

IAM BINDING SUMMARY:
  Total bindings:                    342
  Using primitive roles:             205 (60%)
  Using predefined roles:            112 (33%)
  Using custom roles:                 25 (7%)

CRITICAL FINDINGS:
[IAM-001] Service Account with Owner Role
  SA: admin-sa@prod-project.iam.gserviceaccount.com
  Role: roles/owner on project prod-project
  User-Managed Keys: 3 (oldest: 14 months)
  Remediation: Replace with specific predefined roles, delete old keys

[IAM-002] allAuthenticatedUsers Binding
  Resource: gs://public-data-bucket
  Role: roles/storage.objectViewer
  Risk: Any Google account holder can read bucket contents
  Remediation: Restrict to specific user groups or service accounts

SERVICE ACCOUNT HEALTH:
  Total service accounts:            67
  With user-managed keys:            23
  Keys older than 90 days:           18
  Unused accounts (90+ days):        12
  With domain-wide delegation:        2

RECOMMENDER SUGGESTIONS:
  Total recommendations:             45
  Priority HIGH:                     12
  Estimated permissions reduced:     2,847 individual permissions

平台分布

Codex

35.58%
按下载量换算73

Claude

29.99%
按下载量换算61

Cursor

18.84%
按下载量换算38

Gemini CLI

9.58%
按下载量换算20

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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