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Agent Skill · 开发

enforce-policy-as-code(将政策作为代码执行)

enforce-policy-as-code 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。

enforce-policy-as-code 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;许可证信息还不明确,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 17,452。

总安装 412周安装 17GitHub Stars 12下载 135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:enforce-policy-as-code(将政策作为代码执行)
来源仓库:https://github.com/pjt222/development-guides
仓库路径:skills/enforce-policy-as-code
安装命令:
npx skills add https://github.com/pjt222/development-guides --skill enforce-policy-as-code
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/pjt222/development-guides --skill enforce-policy-as-code

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。

enforce-policy-as-code 使用 OPA Gatekeeper 或 Kyverno 在 Kubernetes 层面实施声明式策略管控。它可标准化资源标签、防止特权容器部署并确保合规要求在生产环境自动生效。使用时需先审计现有集群资源状态,再分阶段引入验证与变异策略减少业务中断风险。

安装前应确认 RBAC 权限足以读取所有 namespace 资源,并规划策略热更新回滚机制。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/enforce-policy-as-code

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/pjt222/development-guides --skill enforce-poli…;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

enforce-policy-as-code 怎么安装?

在终端执行 npx skills add https://github.com/pjt222/development-guides --skill enforce-policy-as-code。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

enforce-policy-as-code 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。

enforce-policy-as-code 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。

enforce-policy-as-code 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。

enforce-policy-as-code 用的人多吗?

公开数据是累计安装 412 次,近一周安装 17 次,下载 135 次,GitHub 12 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。

enforce-policy-as-code 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 需要处理开发类任务、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。

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
enforce-policy-as-code

将政策作为代码执行 · 本页

41212需要联网未明确有提醒

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

Enforce Policy as Code

Implement declarative policy enforcement using OPA Gatekeeper or Kyverno for Kubernetes resource validation and mutation.

When to Use

  • Enforce organizational standards for resource configuration (labels, annotations, limits)
  • Prevent security misconfigurations (privileged containers, host namespaces, insecure images)
  • Ensure compliance requirements are met before resources deployed
  • Standardize resource naming conventions and metadata
  • Implement automated remediation through mutation policies
  • Audit existing cluster resources against policies without blocking
  • Integrate policy validation into CI/CD pipelines for shift-left approach

Inputs

  • Required: Kubernetes cluster with admin access
  • Required: Choice of policy engine (OPA Gatekeeper or Kyverno)
  • Required: List of policies to enforce (security, compliance, operational)
  • Optional: Existing resources to audit
  • Optional: Exemption/exclusion patterns for specific namespaces or resources
  • Optional: CI/CD pipeline configuration for pre-deployment validation

Procedure

See Extended Examples for complete configuration files and templates.

Step 1: Install Policy Engine

Deploy OPA Gatekeeper or Kyverno as admission controller.

For OPA Gatekeeper:

# Install Gatekeeper using Helm
helm repo add gatekeeper https://open-policy-agent.github.io/gatekeeper/charts
helm repo update

# Install with audit enabled
helm install gatekeeper gatekeeper/gatekeeper \
  --namespace gatekeeper-system \
  --create-namespace \
  --set audit.replicas=2 \
  --set replicas=3 \
  --set validatingWebhookFailurePolicy=Fail \
  --set auditInterval=60

# Verify installation
kubectl get pods -n gatekeeper-system
kubectl get crd | grep gatekeeper

# Check webhook configuration
kubectl get validatingwebhookconfigurations gatekeeper-validating-webhook-configuration -o yaml

For Kyverno:

# Install Kyverno using Helm
helm repo add kyverno https://kyverno.github.io/kyverno/
helm repo update

# Install with HA setup
helm install kyverno kyverno/kyverno \
  --namespace kyverno \
  --create-namespace \
  --set replicaCount=3 \
  --set admissionController.replicas=3 \
  --set backgroundController.replicas=2 \
  --set cleanupController.replicas=2

# Verify installation
kubectl get pods -n kyverno
kubectl get crd | grep kyverno

# Check webhook configurations
kubectl get validatingwebhookconfigurations kyverno-resource-validating-webhook-cfg
kubectl get mutatingwebhookconfigurations kyverno-resource-mutating-webhook-cfg

Create namespace exclusions:

# gatekeeper-config.yaml
apiVersion: config.gatekeeper.sh/v1alpha1
kind: Config
metadata:
  name: config
  namespace: gatekeeper-system
spec:
  match:
    - excludedNamespaces:
      - kube-system
      - kube-public
      - kube-node-lease
      - gatekeeper-system
      processes:
      - audit
      - webhook
  validation:
    traces:
      - user: system:serviceaccount:gatekeeper-system:gatekeeper-admin
        kind:
          group: ""
          version: v1
          kind: Namespace

Expected: Policy engine pods running with multiple replicas. CRDs installed (ConstraintTemplate, Constraint for Gatekeeper; ClusterPolicy, Policy for Kyverno). Validating/mutating webhooks active. Audit controller running.

On failure:

  • Check pod logs: kubectl logs -n gatekeeper-system -l app=gatekeeper --tail=50
  • Verify webhook endpoints reachable: kubectl get endpoints -n gatekeeper-system
  • Check for port conflicts or certificate issues in webhook logs
  • Ensure cluster has sufficient resources (policy engines need ~500MB per replica)
  • Review RBAC permissions: kubectl auth can-i create constrainttemplates --as=system:serviceaccount:gatekeeper-system:gatekeeper-admin

Step 2: Define Constraint Templates and Policies

Create reusable policy templates and specific constraints.

OPA Gatekeeper Constraint Template:

# required-labels-template.yaml
apiVersion: templates.gatekeeper.sh/v1
kind: ConstraintTemplate
metadata:
  name: k8srequiredlabels
  annotations:
# ... (see EXAMPLES.md for complete configuration)

Kyverno ClusterPolicy:

# kyverno-policies.yaml
apiVersion: kyverno.io/v1
kind: ClusterPolicy
metadata:
  name: require-labels
  annotations:
# ... (see EXAMPLES.md for complete configuration)

Apply policies:

# Apply Gatekeeper templates and constraints
kubectl apply -f required-labels-template.yaml

# Apply Kyverno policies
kubectl apply -f kyverno-policies.yaml

# Verify constraint/policy status
kubectl get constraints
kubectl get clusterpolicies

# Check for any policy errors
kubectl describe k8srequiredlabels require-app-labels
kubectl describe clusterpolicy require-labels

Expected: ConstraintTemplates/ClusterPolicies created successfully. Constraints show status "True" for enforcement. No errors in policy definitions. Webhook begins evaluating new resources against policies.

On failure:

  • Validate Rego syntax (Gatekeeper): Use opa test locally or check constraint status
  • Check policy YAML syntax: kubectl apply --dry-run=client -f policy.yaml
  • Review constraint status: kubectl get constraint -o yaml | grep -A 10 status
  • Test with simple policy first, then add complexity
  • Verify match criteria (kinds, namespaces) are correct

Step 3: Test Policy Enforcement

Validate policies block non-compliant resources and allow compliant ones.

Create test manifests:

# test-non-compliant.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: test-no-labels
  namespace: production
# ... (see EXAMPLES.md for complete configuration)

Test policies:

# Attempt to create non-compliant resource (should fail)
kubectl apply -f test-non-compliant.yaml
# Expected: Error with policy violation message

# Create compliant resource (should succeed)
kubectl apply -f test-compliant.yaml
# Expected: deployment.apps/test-compliant created

# Test with dry-run for validation
kubectl apply -f test-non-compliant.yaml --dry-run=server
# Shows policy violations without actually creating resource

# Clean up
kubectl delete -f test-compliant.yaml

Test with policy reporting (Kyverno):

# Check policy reports
kubectl get policyreports -A
kubectl get clusterpolicyreports

# View detailed report
kubectl get policyreport -n production -o yaml

# Check policy rule results
kubectl get policyreport -n production -o jsonpath='{.items[0].results}' | jq .

Expected: Non-compliant resources rejected with clear violation messages. Compliant resources created successfully. Policy reports show pass/fail results. Dry-run validation works without creating resources.

On failure:

  • Check if policy is in audit mode instead of enforce: validationFailureAction: audit
  • Verify webhook is processing requests: kubectl logs -n gatekeeper-system -l app=gatekeeper
  • Check for namespace exclusions that might exempt test namespace
  • Test webhook connectivity: kubectl run test --rm -it --image=busybox --restart=Never
  • Review webhook failure policy (Ignore vs Fail)

Step 4: Implement Mutation Policies

Configure automatic remediation through mutation.

Gatekeeper mutation:

# gatekeeper-mutations.yaml
apiVersion: mutations.gatekeeper.sh/v1beta1
kind: Assign
metadata:
  name: add-default-labels
spec:
# ... (see EXAMPLES.md for complete configuration)

Kyverno mutation policies:

# kyverno-mutations.yaml
apiVersion: kyverno.io/v1
kind: ClusterPolicy
metadata:
  name: add-default-labels
spec:
# ... (see EXAMPLES.md for complete configuration)

Apply and test mutations:

# Apply mutation policies
kubectl apply -f gatekeeper-mutations.yaml
# OR
kubectl apply -f kyverno-mutations.yaml

# Test mutation with a deployment
# ... (see EXAMPLES.md for complete configuration)

Expected: Mutations automatically add labels, resources, or modify images. Deployed resources show mutated values. Mutations logged in policy engine logs. No errors during mutation application.

On failure:

  • Check mutation webhook is enabled: kubectl get mutatingwebhookconfiguration
  • Verify mutation policy syntax: especially JSON paths and conditions
  • Review logs: kubectl logs -n kyverno deploy/kyverno-admission-controller
  • Test mutations don't conflict (multiple mutations on same field)
  • Ensure mutation applied before validation (order matters)

Step 5: Enable Audit Mode and Reporting

Configure audit to identify violations in existing resources without blocking.

Gatekeeper audit:

# Audit runs automatically based on auditInterval setting
# Check audit results
kubectl get constraints -o json | \
  jq '.items[] | {name: .metadata.name, violations: .status.totalViolations}'

# Get detailed violation information
# ... (see EXAMPLES.md for complete configuration)

Kyverno audit and reporting:

# Generate policy reports for existing resources
kubectl create job --from=cronjob/kyverno-cleanup-controller -n kyverno manual-report-gen

# View policy reports
kubectl get policyreport -A
kubectl get clusterpolicyreport
# ... (see EXAMPLES.md for complete configuration)

Create dashboard for policy compliance:

# prometheus-rules.yaml
apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
  name: policy-alerts
  namespace: monitoring
# ... (see EXAMPLES.md for complete configuration)

Expected: Audit identifies violations in existing resources without blocking deployments. Policy reports generated with pass/fail counts. Violations exportable for review. Metrics exposed for monitoring. Alerts fire on increasing violations.

On failure:

  • Verify audit controller running: kubectl get pods -n gatekeeper-system -l gatekeeper.sh/operation=audit
  • Check audit interval setting in installation
  • Review audit logs for errors: kubectl logs -n gatekeeper-system -l gatekeeper.sh/operation=audit
  • Ensure RBAC permissions allow reading all resource types for audit
  • Verify CRD status field being populated: kubectl get constraint -o yaml | grep -A 20 status

Step 6: Integrate with CI/CD Pipeline

Add pre-deployment policy validation to shift-left policy enforcement.

CI/CD integration script:

#!/bin/bash
# validate-policies.sh

set -e

echo "=== Policy Validation for CI/CD ==="
# ... (see EXAMPLES.md for complete configuration)

GitHub Actions workflow:

# .github/workflows/policy-validation.yaml
name: Policy Validation

on:
  pull_request:
    paths:
# ... (see EXAMPLES.md for complete configuration)

Pre-commit hook:

#!/bin/bash
# .git/hooks/pre-commit

# Validate Kubernetes manifests against policies
if git diff --cached --name-only | grep -E 'manifests/.*\.yaml$'; then
  echo "Validating Kubernetes manifests against policies..."
# ... (see EXAMPLES.md for complete configuration)

Expected: CI/CD pipeline validates manifests before deployment. Policy violations fail pipeline with clear messages. Policy reports attached to PR. Pre-commit hooks catch violations early. Developers notified of policy issues before reaching cluster.

On failure:

  • Verify CLI tools installed and in PATH
  • Check kubeconfig credentials valid for fetching policies
  • Test policy validation locally first: kyverno apply policy.yaml --resource manifest.yaml
  • Ensure policies synced from cluster are complete
  • Review policy CLI logs for specific validation errors

Validation

  • Policy engine pods running with HA configuration
  • Validating and mutating webhooks active and reachable
  • Constraint templates and policies created without errors
  • Non-compliant resources rejected with clear violation messages
  • Compliant resources deploy successfully
  • Mutation policies automatically remediate resources
  • Audit mode identifies violations in existing resources
  • Policy reports generated and accessible
  • Metrics exposed for policy compliance monitoring
  • CI/CD pipeline validates manifests pre-deployment
  • Pre-commit hooks prevent policy violations
  • Namespace exclusions configured appropriately

Common Pitfalls

  • Webhook Failure Policy: failurePolicy: Fail blocks all resources if webhook unavailable. Use Ignore for non-critical policies, but understand security implications. Test webhook availability before enforcing.
  • Too Restrictive Initial Policies: Starting with enforcement mode on strict policies breaks existing workloads. Begin with audit mode, review violations, communicate with teams, then enforce gradually.
  • Missing Resource Specifications: Policies must specify API groups, versions, and kinds correctly. Use kubectl api-resources to find exact values. Wildcards (*) convenient but can cause performance issues.
  • Mutation Order: Mutations applied before validations. Ensure mutations don't conflict and that validations account for mutated values. Test mutation+validation together.
  • Namespace Exclusions: Excluding system namespaces necessary, but be careful not to over-exclude. Review exclusions regularly as policies mature.
  • Rego Complexity (Gatekeeper): Complex Rego policies difficult to debug. Start simple, test with opa test locally, add logging with trace(), use gator for offline testing.
  • Performance Impact: Policy evaluation adds latency to admission. Keep policies efficient, use appropriate matching criteria, monitor webhook latency metrics.
  • Policy Conflicts: Multiple policies modifying same field cause issues. Coordinate policies across teams, use policy libraries for common patterns, test combinations.
  • Background Scanning: Background audit scans entire cluster. Can be resource-intensive in large clusters. Adjust audit interval based on cluster size and policy count.
  • Version Compatibility: Policy CRD versions change. Gatekeeper v3 uses v1beta1 constraints, Kyverno v1.11 uses kyverno.io/v1. Check docs for your version.

Related Skills

  • manage-kubernetes-secrets - Secret validation policies
  • security-audit-codebase - Complementary security scanning
  • deploy-to-kubernetes - Application deployment with policy validation
  • setup-service-mesh - Service mesh authorization policies complement admission policies
  • configure-api-gateway - Gateway policies work alongside admission policies
  • implement-gitops-workflow - GitOps with policy validation in pipeline

平台分布

Codex

32.97%
按下载量换算45

Claude

29.83%
按下载量换算40

Cursor

19.99%
按下载量换算27

Gemini CLI

9.12%
按下载量换算12

安全审计

Gen Agent Trust Hub

可疑

Socket

可疑

Snyk

可疑

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。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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