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@b8a1c66
by microsoftmicrosoft/skills3.1k stars
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Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

Use this Skill: https://skilld.dev/gh/microsoft/skills/azure-prepare

This session only. Nothing lands on disk.

referencesservicesapp-servicetemplatesrecipesredissourcepython.md

≈742 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Redis Recipe — Python — REFERENCE ONLY

Redis Client with Token Refresh

Requirements

Add to requirements.txt:

redis>=5.0
azure-identity

Cache Module

Create cache.py:

import os
import time
import threading
import redis
from azure.identity import DefaultAzureCredential

# Redis ACL auth requires both username and token as password
_REDIS_USERNAME = "default"
_TOKEN_SCOPE = "https://redis.azure.com/.default"
_TOKEN_REFRESH_MARGIN = 300  # Refresh 5 minutes before expiry

_credential = DefaultAzureCredential()
_lock = threading.RLock()  # reentrant — get_cache() calls _get_token() while holding the lock
_token_cache: dict = {}


def _get_token():
    """Return a valid Entra ID token, refreshing if within expiry margin."""
    with _lock:
        now = time.time()
        if not _token_cache or now >= _token_cache["expires_on"] - _TOKEN_REFRESH_MARGIN:
            tok = _credential.get_token(_TOKEN_SCOPE)
            _token_cache["token"] = tok.token
            _token_cache["expires_on"] = tok.expires_on
        return _token_cache["token"]


def create_redis_client() -> redis.Redis:
    """Create a Redis client. Token is refreshed on each call via _get_token()."""
    return redis.Redis(
        host=os.environ["REDIS_HOST"],
        port=int(os.environ.get("REDIS_PORT", 6380)),
        ssl=True,
        username=_REDIS_USERNAME,
        password=_get_token(),
        decode_responses=True,
    )


def get_cache() -> redis.Redis:
    """Lazy/refreshing accessor — call this from request handlers instead of holding a module-level client.
    Recreates the client when the cached token is within the refresh margin and closes the prior one."""
    global _client
    with _lock:
        now = time.time()
        if _client is None or now >= _token_cache.get("expires_on", 0) - _TOKEN_REFRESH_MARGIN:
            old = _client
            _client = create_redis_client()
            if old is not None:
                try:
                    old.close()
                except Exception:
                    pass
        return _client


_client: redis.Redis | None = None

⚠️ Entra ID tokens expire in ~1 hour. The _get_token() helper refreshes proactively 5 minutes before expiry, and get_cache() recreates the underlying client so in-flight pool connections pick up the new token. Always call get_cache() from request handlers — never cache the client at module scope across the token lifetime.

Usage

from cache import get_cache

def get_cached(key: str):
    cache = get_cache()
    value = cache.get(key)
    if value is None:
        value = "computed-value"
        cache.setex(key, 300, value)  # TTL 5 minutes
    return value

Files to Modify

File Action
cache.py Create — Redis client with token refresh
main.py Modify — use cache client
requirements.txt Modify — add redis, azure-identity

Source: SKILL.md on GitHub

2 warnings3d4 checks · Risk SAFE
  • Gen Agent Trust Hub3d

    This skill includes security considerations related to the processing of untrusted project files and the retrieval of external development templates. While these operations are essential for modernizing and preparing Azure applications, they represent a surface area for indirect prompt injection and depend on the integrity of external template repositories.

  • Socket3d

    5 alerts: gptAnomaly, gptSecurity

  • Snyk3d

    Risk: LOW · No issues

  • Runlayer7mo

    86/87 files flagged

Signed by skilld at b8a1c66. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated last week
metadata
{
  "author": "Microsoft",
  "version": "1.3.4"
}

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