Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add lucaspmarie-a11y/claude-skills-vault --skill azure-containerregistry-pygit clone --depth 1 https://github.com/lucaspmarie-a11y/claude-skills-vaultWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/lucaspmarie-a11y/claude-skills-vault/azure-containerregistry-py)<a href="https://agentmods.dev/skills/lucaspmarie-a11y/claude-skills-vault/azure-containerregistry-py"><img src="https://agentmods.dev/badge/skills/lucaspmarie-a11y/claude-skills-vault/azure-containerregistry-py/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lucaspmarie-a11y/claude-skills-vault/azure-containerregistry-py"><img src="https://agentmods.dev/badge/skills/lucaspmarie-a11y/claude-skills-vault/azure-containerregistry-py.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00024 | $0.01318 |
| Opus 5.5 | $0.00010 | $0.00527 |
| Sonnet 5.5 | $0.00005 | $0.00264 |
| Haiku 4.5 | $0.00002 | $0.00132 |
Grade A, and why
azure-containerregistry-py scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
91% identical to azure-containerregistry-py — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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}")
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 256 lines · 24 tokens per session scan A 70891b300705
azure-containerregistry-py is a skill published in the GitHub repository lucaspmarie-a11y/claude-skills-vault (5 stars, last pushed 4mo ago), licensed MIT. It adds 24 tokens to every session and 1,318 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to azure-containerregistry-py, differing in 6 lines, and is treated as a copy.
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