azure-containerregistry-py
Azure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories. Triggers: "azure-containerregistry", "ContainerRegistryClient", "container images", "docker registry", "ACR".
Install / Use
npx skills add microsoft/skills --skill azure-containerregistry-pyInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
OperationsSupported Platforms
Our assessment of azure-containerregistry-py
azure-containerregistry-py scores 93/100 on our quality scale, 134th of 503 Operations skills we index (top 27%).
Its SKILL.md is 8.5 KB long, well organised into 34 sections with 19 code examples: a thorough specification that gives an agent plenty to work with.
With 3,051 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 5 days ago, so azure-containerregistry-py is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-29. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
azure-containerregistry-py compared with similar skills
All 4 of these similar skills score higher than azure-containerregistry-py; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| azure-containerregistry-py (this skill)by microsoft | 93 | 3.1k | 5d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 86.1k | 13d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.1k | today | CLAUDE.md |
| crawl4aiby unclecode | 100 | 84.4k | 4d ago | MCP Server |
| Scraplingby D4Vinci | 100 | 84.4k | today | MCP Server |
Frequently asked questions
- How do I install azure-containerregistry-py?
- Run
npx skills add microsoft/skills --skill azure-containerregistry-py. The install tabs above show the steps for each supported agent. - Which AI agents does azure-containerregistry-py work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is azure-containerregistry-py safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is azure-containerregistry-py still maintained?
- The repository was last updated 5 days ago, so azure-containerregistry-py is actively maintained.
Skill content
View source on GitHubname: azure-containerregistry-py description: | Azure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories. Triggers: "azure-containerregistry", "ContainerRegistryClient", "container images", "docker registry", "ACR". license: MIT metadata: author: Microsoft version: "1.0.0" package: azure-containerregistry
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 # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
Authentication & Lifecycle
🔑 Two rules apply to every code sample below:
- Prefer
DefaultAzureCredential. It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation.
- Local dev:
DefaultAzureCredentialworks as-is.- Production: set
AZURE_TOKEN_CREDENTIALS=prod(orAZURE_TOKEN_CREDENTIALS=<specific_credential>) to constrain the credential chain to production-safe credentials.- Wrap every client in a context manager so HTTP transports, sockets, and token caches are released deterministically:
- Sync:
with <Client>(...) as client:- Async:
async with <Client>(...) as client:andasync with DefaultAzureCredential() as credential:(fromazure.identity.aio)Snippets may abbreviate this setup, but production code should always follow both rules.
Entra ID (Recommended)
import os
from azure.containerregistry import ContainerRegistryClient
from azure.identity import DefaultAzureCredential, ManagedIdentityCredential
# Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
credential = DefaultAzureCredential(require_envvar=True)
# Or use a specific credential directly in production:
# See https://learn.microsoft.com/python/api/overview/azure/identity-readme?view=azure-python#credential-classes
# credential = ManagedIdentityCredential()
with ContainerRegistryClient(
endpoint=os.environ["AZURE_CONTAINERREGISTRY_ENDPOINT"],
credential=credential
) as client:
# Use client here (see following sections for operations)
...
Anonymous Access (Public Registry)
from azure.containerregistry import ContainerRegistryClient
with ContainerRegistryClient(
endpoint="https://mcr.microsoft.com",
credential=None,
audience="https://mcr.microsoft.com"
) as client:
# Use client here (see following sections for operations)
...
List Repositories
with ContainerRegistryClient(endpoint, DefaultAzureCredential()) as client:
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
with ContainerRegistryClient(endpoint, DefaultAzureCredential()) as client:
# 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():
async with DefaultAzureCredential() as credential:
async with ContainerRegistryClient(endpoint, credential) as client:
async for repo in client.list_repository_names():
print(repo)
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
| Operation | Description |
|-----------|-------------|
| list_repository_names | List all repositories |
| get_repository_properties | Get repository metadata |
| delete_repository | Delete repository and all images |
| list_tag_properties | List tags in repository |
| get_tag_properties | Get tag metadata |
| delete_tag | Delete specific tag |
| list_manifest_properties | List manifests in repository |
| get_manifest_properties | Get manifest metadata |
| delete_manifest | Delete manifest by digest |
| download_manifest | Download manifest content |
| download_blob | Download layer blob |
Best Practices
- Pick sync OR async and stay consistent. Do not mix
azure.xxxsync clients withazure.xxx.aioasync clients in the same call path. Choose one mode per module. - Always use context managers for clients and async credentials. Wrap every client in
with Client(...) as client:(sync) orasync with Client(...) as client:(async). For asyncDefaultAzureCredentialfromazure.identity.aio, also useasync with credential:so tokens and transports are cleaned up. - Use Microsoft Entra ID for authentication in production
- Delete by digest not tag to avoid orphaned images
- Lock production images with can_delete=False
- Clean up untagged manifests regularly
- Use async client for high-throughput operations
- Order by last_updated to find recent/old images
- Check manifest.tags before deleting to avoid removing tagged images
Reference Files
| File | Contents | |------|----------| | references/capabilities.md | Additional non-hero capabilities, operation-group coverage, and production checklists. | | references/non-hero-scenarios.md | Dedicated non-hero examples for secondary/advanced scenarios. |
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
