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Container Registries

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BagelHole
container-registries

Manage container registries including ECR, ACR, GCR, and Docker Hub. Push and pull images, configure authentication, set up repository policies, and implement image lifecycle management. Use when working with container image storage and distribution.

Overview

PublisherBagelHole
RepositoryDevOps-Security-Agent-Skills
Skill namecontainer-registries
Stars
1.1K
Forks
161
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by BagelHole on GitHub. Read the source before you install it.

Installation

Install the Container Registries AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/devops/containers/container-registries
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/BagelHole/DevOps-Security-Agent-Skills.git /tmp/DevOps-Security-Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/DevOps-Security-Agent-Skills/devops/containers/container-registries .claude/skills/container-registries
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Container Registries in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Container Registries on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Container Registries is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Container Registries

Store, manage, and distribute container images across cloud and self-hosted registries.

When to Use This Skill

Use this skill when:

  • Pushing and pulling container images
  • Configuring registry authentication
  • Setting up image retention policies
  • Managing private container registries
  • Implementing image scanning and security

Prerequisites

  • Docker or Podman installed
  • Cloud CLI tools (AWS CLI, az, gcloud) for respective registries
  • Appropriate IAM permissions

Docker Hub

Authentication

bash
# Login
docker login

# Login with token
echo "$DOCKER_TOKEN" | docker login -u username --password-stdin

Push/Pull Images

bash
# Tag image
docker tag myapp:latest username/myapp:latest

# Push
docker push username/myapp:latest

# Pull
docker pull username/myapp:latest

Automated Builds

Configure in Docker Hub UI:

  1. Connect GitHub/Bitbucket repository
  2. Set build rules (branch → tag mapping)
  3. Configure build context and Dockerfile path

Amazon ECR

Setup

bash
# Create repository
aws ecr create-repository \
  --repository-name myapp \
  --image-scanning-configuration scanOnPush=true \
  --encryption-configuration encryptionType=AES256

# Get registry URI
REGISTRY=$(aws ecr describe-repositories \
  --repository-names myapp \
  --query 'repositories[0].repositoryUri' \
  --output text | cut -d'/' -f1)

Authentication

bash
# Login (Docker)
aws ecr get-login-password --region us-east-1 | \
  docker login --username AWS --password-stdin $REGISTRY

# Login with credential helper
# Add to ~/.docker/config.json:
{
  "credHelpers": {
    "123456789.dkr.ecr.us-east-1.amazonaws.com": "ecr-login"
  }
}

Push/Pull

bash
# Tag and push
docker tag myapp:latest $REGISTRY/myapp:latest
docker push $REGISTRY/myapp:latest

# Pull
docker pull $REGISTRY/myapp:latest

Lifecycle Policy

bash
# Create lifecycle policy
aws ecr put-lifecycle-policy \
  --repository-name myapp \
  --lifecycle-policy-text '{
    "rules": [
      {
        "rulePriority": 1,
        "description": "Keep last 10 images",
        "selection": {
          "tagStatus": "any",
          "countType": "imageCountMoreThan",
          "countNumber": 10
        },
        "action": {
          "type": "expire"
        }
      }
    ]
  }'

Repository Policy

bash
# Allow cross-account access
aws ecr set-repository-policy \
  --repository-name myapp \
  --policy-text '{
    "Version": "2012-10-17",
    "Statement": [
      {
        "Sid": "CrossAccountPull",
        "Effect": "Allow",
        "Principal": {
          "AWS": "arn:aws:iam::OTHER_ACCOUNT:root"
        },
        "Action": [
          "ecr:GetDownloadUrlForLayer",
          "ecr:BatchGetImage"
        ]
      }
    ]
  }'

Azure Container Registry (ACR)

Setup

bash
# Create registry
az acr create \
  --resource-group mygroup \
  --name myregistry \
  --sku Standard \
  --admin-enabled false

# Get login server
az acr show --name myregistry --query loginServer -o tsv

Authentication

bash
# Login with Azure CLI
az acr login --name myregistry

# Login with service principal
docker login myregistry.azurecr.io \
  -u $SP_APP_ID \
  -p $SP_PASSWORD

# Get access token
az acr login --name myregistry --expose-token

Push/Pull

bash
# Tag and push
docker tag myapp:latest myregistry.azurecr.io/myapp:latest
docker push myregistry.azurecr.io/myapp:latest

# ACR Build (build in cloud)
az acr build \
  --registry myregistry \
  --image myapp:latest \
  --file Dockerfile .

Retention Policy

bash
# Enable retention policy
az acr config retention update \
  --registry myregistry \
  --status enabled \
  --days 30 \
  --type UntaggedManifests

Geo-Replication

bash
# Enable replication
az acr replication create \
  --registry myregistry \
  --location westeurope

# List replications
az acr replication list --registry myregistry

Google Container Registry (GCR) / Artifact Registry

Setup (Artifact Registry)

bash
# Create repository
gcloud artifacts repositories create myrepo \
  --repository-format=docker \
  --location=us-central1 \
  --description="Docker repository"

Authentication

bash
# Configure Docker auth
gcloud auth configure-docker us-central1-docker.pkg.dev

# Or use credential helper
gcloud auth print-access-token | \
  docker login -u oauth2accesstoken --password-stdin \
  https://us-central1-docker.pkg.dev

Push/Pull

bash
# Tag for Artifact Registry
docker tag myapp:latest \
  us-central1-docker.pkg.dev/PROJECT_ID/myrepo/myapp:latest

# Push
docker push us-central1-docker.pkg.dev/PROJECT_ID/myrepo/myapp:latest

# Pull
docker pull us-central1-docker.pkg.dev/PROJECT_ID/myrepo/myapp:latest

Cleanup Policy

bash
# Create cleanup policy
gcloud artifacts repositories set-cleanup-policies myrepo \
  --location=us-central1 \
  --policy=policy.json

# policy.json
{
  "name": "delete-old",
  "action": {"type": "Delete"},
  "condition": {
    "olderThan": "30d",
    "tagState": "untagged"
  }
}

GitHub Container Registry (GHCR)

Authentication

bash
# Login with PAT
echo "$GITHUB_TOKEN" | docker login ghcr.io -u USERNAME --password-stdin

Push/Pull

bash
# Tag
docker tag myapp:latest ghcr.io/OWNER/myapp:latest

# Push
docker push ghcr.io/OWNER/myapp:latest

# Pull
docker pull ghcr.io/OWNER/myapp:latest

Visibility Settings

Configure in GitHub:

  1. Go to package settings
  2. Change visibility (public/private)
  3. Manage access for teams/users

Self-Hosted Registry

Deploy with Docker

bash
# Run registry
docker run -d -p 5000:5000 \
  --name registry \
  -v registry-data:/var/lib/registry \
  registry:2

# Configure TLS
docker run -d -p 443:5000 \
  --name registry \
  -v /certs:/certs \
  -v registry-data:/var/lib/registry \
  -e REGISTRY_HTTP_TLS_CERTIFICATE=/certs/domain.crt \
  -e REGISTRY_HTTP_TLS_KEY=/certs/domain.key \
  registry:2

Harbor Registry

bash
# Download Harbor
wget https://github.com/goharbor/harbor/releases/download/v2.9.0/harbor-online-installer-v2.9.0.tgz
tar xzvf harbor-online-installer-v2.9.0.tgz

# Configure harbor.yml
# Set hostname, https certificate, admin password

# Install
./install.sh --with-trivy --with-chartmuseum

Image Security

Vulnerability Scanning

bash
# ECR - Enable scan on push
aws ecr put-image-scanning-configuration \
  --repository-name myapp \
  --image-scanning-configuration scanOnPush=true

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

# ACR - Scan with Defender
az acr task create \
  --registry myregistry \
  --name scan-images \
  --cmd "mcr.microsoft.com/azure-cli az acr run-scan"

Image Signing

bash
# Enable content trust
export DOCKER_CONTENT_TRUST=1

# Sign image on push
docker push myregistry/myapp:latest

# Verify signature
docker trust inspect myregistry/myapp:latest

Common Issues

Issue: Authentication Expired

Problem: Push/pull fails with auth error Solution: Re-run login command, check credential helper

Issue: Image Not Found

Problem: Pull fails with manifest unknown Solution: Verify tag exists, check registry URL

Issue: Push Permission Denied

Problem: Cannot push to repository Solution: Check IAM permissions, verify repository exists

Issue: Rate Limiting (Docker Hub)

Problem: Too many requests error Solution: Authenticate for higher limits, use pull-through cache

Best Practices

  • Enable vulnerability scanning on all repositories
  • Implement lifecycle policies to manage storage costs
  • Use immutable tags for production images
  • Configure cross-region replication for availability
  • Use service accounts/principals for CI/CD authentication
  • Enable audit logging for compliance
  • Implement image signing for supply chain security
  • Use pull-through cache to avoid rate limits

Related Skills

Frequently asked questions

What does the Container Registries AI skill do?

Manage container registries including ECR, ACR, GCR, and Docker Hub. Push and pull images, configure authentication, set up repository policies, and implement image lifecycle management. Use when working with container image storage and distribution.

Why use Container Registries on TypingMind?

Because you install it once and use it with any model. Container Registries is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Container Registries in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/devops/containers/container-registries. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Container Registries?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Container Registries?

As many as you like. As long as a model supports skills, you can use Container Registries with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Container Registries AI skill free?

Yes. It is published on GitHub by BagelHole under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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