跳到正文
cccskills
免费在 GitHub 公开

azure-containerregistry-py

Manage container images in Azure Container Registry using Python. Inspect repositories, tags, and image metadata, protect images from deletion, download image data, and identify older untagged images for cleanup.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Azure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories.

集成工具Azure
查看安装方法

适用场景

  • Inspect image tags and metadata
  • Protect production images from deletion
  • Clean up older untagged images
  • Download image manifests and layers

包含的文件(1)

  • SKILL.md6.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Azure Container Registry SDK for Python

Manage container images, artifacts, and repositories in Azure Container Registry.

Installation

pip install azure-containerregistry

Environment Variables

AZURE_CONTAINERREGISTRY_ENDPOINT=https://<registry-name>.azurecr.io

Authentication

Entra ID (Recommended)

from azure.containerregistry import ContainerRegistryClient
from azure.identity import DefaultAzureCredential

client = ContainerRegistryClient(
    endpoint=os.environ["AZURE_CONTAINERREGISTRY_ENDPOINT"],
    credential=DefaultAzureCredential()
)

Anonymous Access (Public Registry)

from azure.containerregistry import ContainerRegistryClient

client = ContainerRegistryClient(
    endpoint="https://mcr.microsoft.com",
    credential=None,
    audience="https://mcr.microsoft.com"
)

List Repositories

client = ContainerRegistryClient(endpoint, DefaultAzureCredential())

for repository in client.list_repository_names():
    print(repository)

Repository Operations

Get Repository Properties

properties = client.get_repository_properties("my-image")
print(f"Created: {properties.created_on}")
print(f"Modified: {properties.last_updated_on}")
print(f"Manifests: {properties.manifest_count}")
print(f"Tags: {properties.tag_count}")

Update Repository Properties

from azure.containerregistry import RepositoryProperties

client.update_repository_properties(
    "my-image",
    properties=RepositoryProperties(
        can_delete=False,
        can_write=False
    )
)

Delete Repository

client.delete_repository("my-image")

List Tags

for tag in client.list_tag_properties("my-image"):
    print(f"{tag.name}: {tag.created_on}")

Filter by Order

from azure.containerregistry import ArtifactTagOrder

# Most recent first
for tag in client.list_tag_properties(
    "my-image",
    order_by=ArtifactTagOrder.LAST_UPDATED_ON_DESCENDING
):
    print(f"{tag.name}: {tag.last_updated_on}")

Manifest Operations

List Manifests

from azure.containerregistry import ArtifactManifestOrder

for manifest in client.list_manifest_properties(
    "my-image",
    order_by=ArtifactManifestOrder.LAST_UPDATED_ON_DESCENDING
):
    print(f"Digest: {manifest.digest}")
    print(f"Tags: {manifest.tags}")
    print(f"Size: {manifest.size_in_bytes}")

Get Manifest Properties

manifest = client.get_manifest_properties("my-image", "latest")
print(f"Digest: {manifest.digest}")
print(f"Architecture: {manifest.architecture}")
print(f"OS: {manifest.operating_system}")

Update Manifest Properties

from azure.containerregistry import ArtifactManifestProperties

client.update_manifest_properties(
    "my-image",
    "latest",
    properties=ArtifactManifestProperties(
        can_delete=False,
        can_write=False
    )
)

Delete Manifest

# Delete by digest
client.delete_manifest("my-image", "sha256:abc123...")

# Delete by tag
manifest = client.get_manifest_properties("my-image", "old-tag")
client.delete_manifest("my-image", manifest.digest)

Tag Operations

Get Tag Properties

tag = client.get_tag_properties("my-image", "latest")
print(f"Digest: {tag.digest}")
print(f"Created: {tag.created_on}")

Delete Tag

client.delete_tag("my-image", "old-tag")

Upload and Download Artifacts

from azure.containerregistry import ContainerRegistryClient

client = ContainerRegistryClient(endpoint, DefaultAzureCredential())

# Download manifest
manifest = client.download_manifest("my-image", "latest")
print(f"Media type: {manifest.media_type}")
print(f"Digest: {manifest.digest}")

# Download blob
blob = client.download_blob("my-image", "sha256:abc123...")
with open("layer.tar.gz", "wb") as f:
    for chunk in blob:
        f.write(chunk)

Async Client

from azure.containerregistry.aio import ContainerRegistryClient
from azure.identity.aio import DefaultAzureCredential

async def list_repos():
    credential = DefaultAzureCredential()
    client = ContainerRegistryClient(endpoint, credential)
    
    async for repo in client.list_repository_names():
        print(repo)
    
    await client.close()
    await credential.close()

Clean Up Old Images

from datetime import datetime, timedelta, timezone

cutoff = datetime.now(timezone.utc) - timedelta(days=30)

for manifest in client.list_manifest_properties("my-image"):
    if manifest.last_updated_on < cutoff and not manifest.tags:
        print(f"Deleting {manifest.digest}")
        client.delete_manifest("my-image", manifest.digest)

Client Operations

OperationDescription
list_repository_namesList all repositories
get_repository_propertiesGet repository metadata
delete_repositoryDelete repository and all images
list_tag_propertiesList tags in repository
get_tag_propertiesGet tag metadata
delete_tagDelete specific tag
list_manifest_propertiesList manifests in repository
get_manifest_propertiesGet manifest metadata
delete_manifestDelete manifest by digest
download_manifestDownload manifest content
download_blobDownload layer blob

Best Practices

  1. Use Entra ID for authentication in production
  2. Delete by digest not tag to avoid orphaned images
  3. Lock production images with can_delete=False
  4. Clean up untagged manifests regularly
  5. Use async client for high-throughput operations
  6. Order by last_updated to find recent/old images
  7. Check manifest.tags before deleting to avoid removing tagged images

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Assess a new or existing AI project by examining its code, goals, and constraints. Recommend skills confirmed to exist in the available registry, then outline tasks and implementation phases with dependencies, completion criteria, and checks.

中文简介正在准备中。当前显示英语简介。

  • Planning the first steps of a new AI project
  • Assessing technical issues in an existing project
  • Selecting relevant skills from an available registry
sickn33/agentic-awesome-skills4.8万2026年10月23日 更新

007

免费

Review code and infrastructure for security risks, map potential threats, and plan stronger defenses. The skill covers OWASP checks, attack and defense exercises, and incident response, with validation required for each environment.

中文简介正在准备中。当前显示英语简介。

  • Reviewing code and infrastructure security
  • Mapping threats with STRIDE or PASTA
  • Planning stronger security settings
sickn33/agentic-awesome-skills4.8万2026年10月23日 更新

Turn a repeatable task into an Andru.ia skill with clear inputs, outputs, examples, and limits. Draft SKILL.md, check the folder structure and required validations, and prepare a pull request describing the changes for review.

中文简介正在准备中。当前显示英语简介。

  • Creating a skill for a repeatable task
  • Improving an existing skill’s examples and limits
  • Validating skill files and preparing a pull request
sickn33/agentic-awesome-skills4.8万2026年10月23日 更新

Prepare an industry briefing once a project's sector is defined. It covers sector context, potentially applicable regulations, familiar interface patterns, technology choices, and risks, while separating verified evidence from hypotheses and questions requiring further review.

中文简介正在准备中。当前显示英语简介。

  • Researching industry requirements before product design
  • Checking regulations for a project's jurisdiction
  • Choosing interface patterns familiar to target users
sickn33/agentic-awesome-skills4.8万2026年10月23日 更新

Create presentation drafts from text, outlines, or documents through the 2slides API. Match a reference image's style, choose themes, add AI voice narration, and export slide images or audio for review and use.

中文简介正在准备中。当前显示英语简介。

  • Create a presentation from text or an outline
  • Summarize a document into slides
  • Match slide styling to a reference image
sickn33/agentic-awesome-skills4.8万2026年10月23日 更新

Plan a 360-degree or peer feedback process and create empty response templates from confirmed requirements. Produces consistent CSV, SQL, JSON Schema, or Notion property mappings while keeping visibility choices and scoring configuration separate.

中文简介正在准备中。当前显示英语简介。

  • Plan an anonymous peer feedback process
  • Create a CSV template for feedback responses
  • Align feedback fields across SQL and JSON Schema
sickn33/agentic-awesome-skills4.8万2026年10月23日 更新

查看 sickn33 的全部技能

报告此技能的问题