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container-registry-setup容器注册表设置

Agent Skill

container-registry-setup 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

总安装

1,350

周安装

58

GitHub Stars

4

下载量

473
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:container-registry-setup(容器注册表设置)
来源仓库:https://github.com/dengineproblem/agents-monorepo
仓库路径:skills/container-registry-setup
安装命令:
npx skills add https://github.com/dengineproblem/agents-monorepo --skill container-registry-setup
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/dengineproblem/agents-monorepo --skill container-registry-setup

简介

Container Registry Setup 提供多云容器注册表配置专家知识。

  • 覆盖 ECR、GCP Artifact Registry、ACR 与自建 Harbor/Nexus 方案。
  • 包含 Terraform 模板与 RBAC 策略示例,支持自动化部署。
  • 适用于多云架构下统一镜像分发与管理策略制定。
  • container-registry-setup 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Container Registry Setup Expert

Эксперт по настройке и управлению container registries.

Типы Registry

Cloud-Managed

RegistryProviderFeatures
ECRAWSIAM integration, scanning
Artifact RegistryGCPMulti-format, regional
ACRAzureAD integration, geo-rep
Docker HubDockerPublic/private, CI/CD

Self-Hosted

RegistryBest ForFeatures
HarborEnterpriseRBAC, scanning, replication
NexusMulti-artifactMaven, npm, Docker
ArtifactoryEnterpriseUniversal, HA
DistributionSimpleOfficial Docker registry

AWS ECR Setup

Terraform Configuration

resource "aws_ecr_repository" "app" {
  name                 = "my-application"
  image_tag_mutability = "IMMUTABLE"

  image_scanning_configuration {
    scan_on_push = true
  }

  encryption_configuration {
    encryption_type = "KMS"
    kms_key         = aws_kms_key.ecr.arn
  }

  tags = {
    Environment = "production"
    Team        = "platform"
  }
}

resource "aws_ecr_lifecycle_policy" "cleanup" {
  repository = aws_ecr_repository.app.name

  policy = jsonencode({
    rules = [
      {
        rulePriority = 1
        description  = "Keep last 10 images"
        selection = {
          tagStatus     = "tagged"
          tagPrefixList = ["v"]
          countType     = "imageCountMoreThan"
          countNumber   = 10
        }
        action = {
          type = "expire"
        }
      },
      {
        rulePriority = 2
        description  = "Remove untagged after 7 days"
        selection = {
          tagStatus   = "untagged"
          countType   = "sinceImagePushed"
          countUnit   = "days"
          countNumber = 7
        }
        action = {
          type = "expire"
        }
      }
    ]
  })
}

ECR Authentication

# Login to ECR
aws ecr get-login-password --region us-east-1 | \
  docker login --username AWS --password-stdin \
  123456789.dkr.ecr.us-east-1.amazonaws.com

# Push image
docker tag myapp:latest 123456789.dkr.ecr.us-east-1.amazonaws.com/myapp:latest
docker push 123456789.dkr.ecr.us-east-1.amazonaws.com/myapp:latest

Harbor Self-Hosted

Docker Compose Setup

version: '3'
services:
  harbor-core:
    image: goharbor/harbor-core:v2.9.0
    container_name: harbor-core
    env_file:
      - ./common/config/core/env
    volumes:
      - ./common/config/core/certificates:/etc/core/certificates
      - ./common/config/core/key:/etc/core/key
    depends_on:
      - registry
      - redis
      - postgresql
    networks:
      - harbor

  registry:
    image: goharbor/registry-photon:v2.9.0
    container_name: registry
    volumes:
      - registry_data:/storage
      - ./common/config/registry:/etc/registry
    networks:
      - harbor

  postgresql:
    image: goharbor/harbor-db:v2.9.0
    container_name: harbor-db
    volumes:
      - database:/var/lib/postgresql/data
    environment:
      POSTGRES_PASSWORD: ${DB_PASSWORD}
    networks:
      - harbor

  redis:
    image: goharbor/redis-photon:v2.9.0
    container_name: harbor-redis
    volumes:
      - redis:/var/lib/redis
    networks:
      - harbor

  nginx:
    image: goharbor/nginx-photon:v2.9.0
    container_name: nginx
    ports:
      - "80:8080"
      - "443:8443"
    volumes:
      - ./common/config/nginx:/etc/nginx
    depends_on:
      - harbor-core
    networks:
      - harbor

volumes:
  registry_data:
  database:
  redis:

networks:
  harbor:
    driver: bridge

Image Security

Vulnerability Scanning

# Trivy scan
trivy image myapp:latest

# Grype scan
grype myapp:latest

# ECR scan results
aws ecr describe-image-scan-findings \
  --repository-name myapp \
  --image-id imageTag=latest

Image Signing with Cosign

# Generate key pair
cosign generate-key-pair

# Sign image
cosign sign --key cosign.key myregistry/myapp:latest

# Verify signature
cosign verify --key cosign.pub myregistry/myapp:latest

Content Trust (Docker)

# Enable content trust
export DOCKER_CONTENT_TRUST=1

# Sign and push
docker push myregistry/myapp:latest

# Verify on pull
docker pull myregistry/myapp:latest

Kubernetes Integration

Image Pull Secret

apiVersion: v1
kind: Secret
metadata:
  name: registry-credentials
  namespace: default
type: kubernetes.io/dockerconfigjson
data:
  .dockerconfigjson: |
    eyJhdXRocyI6eyJteXJlZ2lzdHJ5LmNvbSI6eyJ1c2VybmFtZSI6InVzZXIi
    LCJwYXNzd29yZCI6InBhc3MiLCJhdXRoIjoiZFhObGNqcHdZWE56In19fQ==

Deployment with Pull Secret

apiVersion: apps/v1
kind: Deployment
metadata:
  name: myapp
spec:
  replicas: 3
  selector:
    matchLabels:
      app: myapp
  template:
    metadata:
      labels:
        app: myapp
    spec:
      containers:
        - name: myapp
          image: myregistry.com/myapp:v1.0.0
          imagePullPolicy: Always
      imagePullSecrets:
        - name: registry-credentials

ServiceAccount Configuration

apiVersion: v1
kind: ServiceAccount
metadata:
  name: myapp-sa
  namespace: default
imagePullSecrets:
  - name: registry-credentials

CI/CD Integration

GitHub Actions

name: Build and Push

on:
  push:
    branches: [main]

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v3

      - name: Login to ECR
        uses: aws-actions/amazon-ecr-login@v2

      - name: Login to Docker Hub
        uses: docker/login-action@v3
        with:
          username: ${{ secrets.DOCKERHUB_USERNAME }}
          password: ${{ secrets.DOCKERHUB_TOKEN }}

      - name: Build and push
        uses: docker/build-push-action@v5
        with:
          context: .
          platforms: linux/amd64,linux/arm64
          push: true
          tags: |
            123456789.dkr.ecr.us-east-1.amazonaws.com/myapp:${{ github.sha }}
            myuser/myapp:${{ github.sha }}
          cache-from: type=gha
          cache-to: type=gha,mode=max

GitLab CI

stages:
  - build
  - push

variables:
  IMAGE_NAME: $CI_REGISTRY_IMAGE

build:
  stage: build
  image: docker:24
  services:
    - docker:24-dind
  before_script:
    - docker login -u $CI_REGISTRY_USER -p $CI_REGISTRY_PASSWORD $CI_REGISTRY
  script:
    - docker build -t $IMAGE_NAME:$CI_COMMIT_SHA .
    - docker push $IMAGE_NAME:$CI_COMMIT_SHA
  only:
    - main

Cleanup Scripts

ECR Cleanup

import boto3
from datetime import datetime, timedelta

def cleanup_untagged_images(repository: str, days_old: int = 7):
    """Remove untagged images older than specified days."""
    ecr = boto3.client('ecr')

    response = ecr.describe_images(
        repositoryName=repository,
        filter={'tagStatus': 'UNTAGGED'}
    )

    cutoff = datetime.now() - timedelta(days=days_old)

    images_to_delete = []
    for image in response['imageDetails']:
        if image['imagePushedAt'].replace(tzinfo=None) < cutoff:
            images_to_delete.append({
                'imageDigest': image['imageDigest']
            })

    if images_to_delete:
        ecr.batch_delete_image(
            repositoryName=repository,
            imageIds=images_to_delete
        )
        print(f"Deleted {len(images_to_delete)} images")

# Usage
cleanup_untagged_images('my-app', days_old=7)

Performance Optimization

Registry Caching

# Docker daemon.json
{
  "registry-mirrors": ["https://mirror.gcr.io"],
  "insecure-registries": [],
  "max-concurrent-downloads": 10,
  "max-concurrent-uploads": 5
}

Pull-Through Cache (Harbor)

# Harbor project config
replication:
  - name: docker-hub-proxy
    type: pull-through
    source: https://registry-1.docker.io
    filters:
      - name: library/*
    trigger:
      type: manual

Troubleshooting

# Test connectivity
curl -v https://myregistry.com/v2/

# Check authentication
docker login myregistry.com

# Verify TLS
openssl s_client -connect myregistry.com:443 -servername myregistry.com

# Clear credentials
docker logout myregistry.com
rm ~/.docker/config.json

# Debug pull issues
docker pull myregistry.com/myapp:latest --debug

Лучшие практики

  1. Image immutability — используйте immutable tags
  2. Vulnerability scanning — scan on push обязателен
  3. Lifecycle policies — автоматическая очистка старых images
  4. Content trust — подписывайте production images
  5. Geo-replication — для global deployments
  6. Access control — минимальные права через RBAC
  7. Monitoring — алерты на failed pushes и pulls

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.52%
按下载量换算168

Claude

27.99%
按下载量换算132

Cursor

20.64%
按下载量换算98

Gemini CLI

9.26%
按下载量换算44

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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