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Agent Skill · 开发

zero-trust-architecture(零信任架构)

zero-trust-architecture 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

zero-trust-architecture 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 18,653。

总安装 324周安装 13GitHub Stars 61下载 105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
MIT

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:zero-trust-architecture(零信任架构)
来源仓库:https://github.com/melodic-software/claude-code-plugins
仓库路径:skills/zero-trust-architecture
安装命令:
npx skills add https://github.com/melodic-software/claude-code-plugins --skill zero-trust-architecture
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/melodic-software/claude-code-plugins --skill zero-trust-architecture

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。

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。通过 npx skills add 命令从指定 GitHub 仓库安装使用。

安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。zero-trust-architecture 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/zero-trust-architecture

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/melodic-software/claude-code-plugins --skill z…;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

zero-trust-architecture 怎么安装?

在终端执行 npx skills add https://github.com/melodic-software/claude-code-plugins --skill zero-trust-…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

zero-trust-architecture 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。

zero-trust-architecture 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。

zero-trust-architecture 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

zero-trust-architecture 用的人多吗?

公开数据是累计安装 324 次,近一周安装 13 次,下载 105 次,GitHub 61 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。

zero-trust-architecture 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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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
zero-trust-architecture

零信任架构 · 本页

32461需要联网MIT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

Zero Trust Architecture

Comprehensive guide to zero trust security architecture - the "never trust, always verify" approach to modern security.

When to Use This Skill

  • Designing security architecture for new systems
  • Migrating from perimeter-based security
  • Implementing microsegmentation
  • Evaluating identity-based access controls
  • Understanding ZTNA (Zero Trust Network Access)
  • Assessing security posture

Core Principles

Zero Trust Pillars:

1. Never Trust, Always Verify
   └── Every request is verified regardless of origin
   └── No implicit trust based on network location
   └── Continuous authentication and authorization

2. Least Privilege Access
   └── Minimum permissions required for the task
   └── Just-in-time access when possible
   └── Just-enough-access for the operation

3. Assume Breach
   └── Design as if attackers are already inside
   └── Minimize blast radius of any compromise
   └── Continuous monitoring and verification

4. Explicit Verification
   └── Verify user identity
   └── Verify device health
   └── Verify request context
   └── Make access decisions at each request

Architecture Components

Identity Layer

Identity Provider (IdP):
├── Multi-factor authentication (MFA)
├── Single sign-on (SSO)
├── Federated identity
└── Privileged access management (PAM)

User Identity:
- Strong authentication required
- Continuous session validation
- Risk-based authentication
- Context-aware access decisions

Service Identity:
- Machine identity management
- Service accounts with rotation
- Certificate-based authentication
- Workload identity

Device Layer

Device Trust Assessment:
├── Device health attestation
├── Endpoint detection and response (EDR)
├── Mobile device management (MDM)
├── Certificate-based device identity
└── Posture assessment

Device Trust Signals:
- Is the device managed/enrolled?
- Is the OS up to date?
- Is security software running?
- Are there known vulnerabilities?
- Is there anomalous behavior?

Network Layer

Microsegmentation:
┌─────────────────────────────────────────┐
│              Traditional               │
│  ┌──────────────────────────────────┐  │
│  │     Flat Internal Network       │  │
│  │   Trust everything inside       │  │
│  └──────────────────────────────────┘  │
│                  ↓                      │
│          Zero Trust                    │
│  ┌─────┐ ┌─────┐ ┌─────┐ ┌─────┐     │
│  │ Seg │ │ Seg │ │ Seg │ │ Seg │     │
│  │  A  │ │  B  │ │  C  │ │  D  │     │
│  └──┬──┘ └──┬──┘ └──┬──┘ └──┬──┘     │
│     │       │       │       │         │
│  All traffic verified at each hop     │
└─────────────────────────────────────────┘

Network Controls:
- Software-defined perimeter (SDP)
- Network access control (NAC)
- DNS security
- Encrypted communications (mTLS)

Application Layer

Application Security:
├── API gateway with authentication
├── Service mesh for service-to-service
├── Web application firewall (WAF)
├── Runtime application self-protection (RASP)
└── Secure software supply chain

Access Control:
- Attribute-based access control (ABAC)
- Role-based access control (RBAC)
- Policy-based access control
- Just-in-time access provisioning

Data Layer

Data Protection:
├── Classification and labeling
├── Encryption at rest and in transit
├── Data loss prevention (DLP)
├── Rights management
└── Tokenization/masking

Data Access:
- Need-to-know basis
- Fine-grained access control
- Audit logging for all access
- Data residency compliance

Implementation Patterns

Pattern 1: Identity-Aware Proxy

                    ┌───────────────────┐
                    │   Identity Proxy   │
                    │  (BeyondCorp-style)│
                    └─────────┬─────────┘
                              │
        ┌─────────────────────┼─────────────────────┐
        │                     │                     │
   ┌────▼────┐          ┌────▼────┐          ┌────▼────┐
   │  User   │          │  Device │          │ Context │
   │ Identity│          │  Trust  │          │  Eval   │
   └────┬────┘          └────┬────┘          └────┬────┘
        │                     │                     │
        └─────────────────────┼─────────────────────┘
                              │
                    ┌─────────▼─────────┐
                    │   Access Decision  │
                    └─────────┬─────────┘
                              │
                    ┌─────────▼─────────┐
                    │   Application      │
                    └───────────────────┘

How it works:
1. User requests access to application
2. Proxy checks user identity (authentication)
3. Proxy evaluates device trust score
4. Proxy considers context (location, time, behavior)
5. Policy engine makes access decision
6. If approved, proxy provides access

Pattern 2: Service Mesh Zero Trust

┌─────────────────────────────────────────────────┐
│                   Control Plane                  │
│  ┌──────────┐  ┌──────────┐  ┌──────────┐     │
│  │  Policy  │  │   Cert   │  │  Config  │     │
│  │  Engine  │  │ Authority│  │  Store   │     │
│  └────┬─────┘  └────┬─────┘  └────┬─────┘     │
└───────┼─────────────┼─────────────┼────────────┘
        │             │             │
┌───────▼─────────────▼─────────────▼────────────┐
│                   Data Plane                    │
│  ┌─────────────┐        ┌─────────────┐        │
│  │  Service A  │◄──mTLS──►│  Service B  │        │
│  │  ┌───────┐  │        │  ┌───────┐  │        │
│  │  │ Proxy │  │        │  │ Proxy │  │        │
│  │  └───────┘  │        │  └───────┘  │        │
│  └─────────────┘        └─────────────┘        │
└─────────────────────────────────────────────────┘

Service mesh provides:
- mTLS between all services
- Fine-grained authorization policies
- Service-to-service identity
- Traffic encryption everywhere
- Policy enforcement at the proxy

Pattern 3: ZTNA (Zero Trust Network Access)

Traditional VPN:
User ──► VPN ──► Full Network Access

ZTNA (Zero Trust Network Access):
User ──► ZTNA Broker ──► Specific App Only
              │
        ┌─────▼─────┐
        │ Evaluate: │
        │ - Identity│
        │ - Device  │
        │ - Context │
        │ - Policy  │
        └─────┬─────┘
              │
        Access to ONE application
        (not entire network)

ZTNA Benefits:
- Application-level access, not network-level
- Invisible infrastructure (no exposed IPs)
- Consistent policy regardless of location
- Reduced attack surface

Trust Evaluation

Continuous Trust Scoring

Trust Score Components:

User Trust:
├── Authentication strength    [0-25 points]
├── Session age/freshness     [0-15 points]
├── Behavioral anomalies      [0-20 points]
└── Historical patterns       [0-10 points]

Device Trust:
├── Device management status   [0-20 points]
├── Security posture          [0-20 points]
├── Patch level               [0-15 points]
└── Certificate validity      [0-10 points]

Context Trust:
├── Network location          [0-15 points]
├── Geolocation               [0-10 points]
├── Time of access            [0-10 points]
└── Request patterns          [0-15 points]

Total Score: 0-185 points

Policy Example:
- Score > 150: Full access
- Score 100-150: Limited access + step-up auth
- Score 50-100: Read-only access
- Score < 50: Block access

Risk-Based Access Decisions

Access Decision Matrix:

                    │ Low-Risk Resource │ High-Risk Resource
────────────────────┼───────────────────┼────────────────────
High Trust Score    │ Allow             │ Allow
Medium Trust Score  │ Allow             │ MFA Challenge
Low Trust Score     │ MFA Challenge     │ Block + Alert

Dynamic Factors:
- Time-based: Unusual access hours?
- Location-based: Unusual geography?
- Behavior-based: Unusual patterns?
- Resource-based: Sensitive data access?

Implementation Roadmap

Phase 1: Visibility and Identity

Duration: 3-6 months

Steps:
1. Inventory all users, devices, applications
2. Implement strong identity management
3. Enable MFA everywhere
4. Deploy comprehensive logging
5. Establish baseline behaviors

Success Criteria:
□ 100% user MFA coverage
□ Complete asset inventory
□ Centralized authentication
□ Security event visibility

Phase 2: Device Trust

Duration: 3-6 months

Steps:
1. Implement device management (MDM/UEM)
2. Deploy endpoint security (EDR)
3. Establish device trust policies
4. Enable device health attestation
5. Enforce device compliance

Success Criteria:
□ All devices managed/enrolled
□ Device posture assessment active
□ Non-compliant devices blocked
□ Certificate-based device identity

Phase 3: Microsegmentation

Duration: 6-12 months

Steps:
1. Map application dependencies
2. Define segmentation policies
3. Implement network controls
4. Deploy software-defined perimeter
5. Enable east-west traffic inspection

Success Criteria:
□ Critical apps microsegmented
□ East-west traffic encrypted
□ Lateral movement restricted
□ Segment-level monitoring

Phase 4: Adaptive Access

Duration: 3-6 months

Steps:
1. Implement risk scoring
2. Deploy policy decision points
3. Enable continuous authentication
4. Implement just-in-time access
5. Automate access decisions

Success Criteria:
□ Risk-based access decisions
□ Context-aware policies
□ Automated access reviews
□ Just-in-time privileged access

Anti-Patterns

Zero Trust Anti-Patterns:

1. "Zero Trust In Name Only"
   ❌ Adding MFA and calling it zero trust
   ✓ Comprehensive identity + device + network + data controls

2. "Perimeter Replacement"
   ❌ Replacing VPN with ZTNA without other controls
   ✓ ZTNA as part of comprehensive architecture

3. "Trust The Internal Network"
   ❌ Applying zero trust only at the edge
   ✓ Verify all traffic, including internal

4. "One-Time Verification"
   ❌ Verify at login, trust for session duration
   ✓ Continuous verification throughout session

5. "Security Theater"
   ❌ Complex controls that users bypass
   ✓ Frictionless security that's hard to bypass

Technology Options

Identity & Access:
- Azure AD / Entra ID
- Okta
- Ping Identity
- Google Identity

ZTNA Solutions:
- Zscaler Private Access
- Cloudflare Access
- Palo Alto Prisma Access
- Tailscale

Service Mesh:
- Istio
- Linkerd
- Consul Connect
- AWS App Mesh

Device Management:
- Microsoft Intune
- Jamf
- VMware Workspace ONE
- Google Endpoint Management

Related Skills

  • api-security - OAuth, OIDC, JWT patterns
  • mtls-service-mesh - Service-to-service security
  • secrets-management - Credential and secret handling
  • observability-patterns - Security monitoring and detection

平台分布

Antigravity

26.67%
按下载量换算28

trae

21.74%
按下载量换算23

windsurf

17.99%
按下载量换算19

Claude Code

13.41%
按下载量换算14

Codex

8.13%
按下载量换算9

Gemini CLI

3.95%
按下载量换算4

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。

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