Token导航 LogoToken导航TokenDH.com
云服务敏感数据github未标认证来源可访问许可证需确认审计通过

azure-appconfiguration-pyAzure appconfiguration PY 部署

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

总安装

1,479

周安装

61

GitHub Stars

35,707

下载量

483
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:azure-appconfiguration-py(Azure appconfiguration PY 部署)
来源仓库:https://github.com/sickn33/antigravity-awesome-skills
仓库路径:skills/azure-appconfiguration-py
安装命令:
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill azure-appconfiguration-py
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill azure-appconfiguration-py

简介

用于 Python 应用中接入 Azure App Configuration 配置中心。

  • 支持动态配置读取和特性开关管理。azure-appconfiguration-py 属于云服务类 Skill,可作为该场景下的辅助能力补充。
  • 可通过连接字符串或 Entra ID 进行身份验证。
  • 建议将连接字符串存储在安全配置文件中避免硬编码。
  • 依赖 azure-appconfiguration 包实现配置拉取与缓存。

SKILL.md

Azure App Configuration SDK for Python

Centralized configuration management with feature flags and dynamic settings.

Installation

pip install azure-appconfiguration

Environment Variables

AZURE_APPCONFIGURATION_CONNECTION_STRING=Endpoint=https://<name>.azconfig.io;Id=...;Secret=...
# Or for Entra ID:
AZURE_APPCONFIGURATION_ENDPOINT=https://<name>.azconfig.io

Authentication

Connection String

from azure.appconfiguration import AzureAppConfigurationClient

client = AzureAppConfigurationClient.from_connection_string(
    os.environ["AZURE_APPCONFIGURATION_CONNECTION_STRING"]
)

Entra ID

from azure.appconfiguration import AzureAppConfigurationClient
from azure.identity import DefaultAzureCredential

client = AzureAppConfigurationClient(
    base_url=os.environ["AZURE_APPCONFIGURATION_ENDPOINT"],
    credential=DefaultAzureCredential()
)

Configuration Settings

Get Setting

setting = client.get_configuration_setting(key="app:settings:message")
print(f"{setting.key} = {setting.value}")

Get with Label

# Labels allow environment-specific values
setting = client.get_configuration_setting(
    key="app:settings:message",
    label="production"
)

Set Setting

from azure.appconfiguration import ConfigurationSetting

setting = ConfigurationSetting(
    key="app:settings:message",
    value="Hello, World!",
    label="development",
    content_type="text/plain",
    tags={"environment": "dev"}
)

client.set_configuration_setting(setting)

Delete Setting

client.delete_configuration_setting(
    key="app:settings:message",
    label="development"
)

List Settings

All Settings

settings = client.list_configuration_settings()
for setting in settings:
    print(f"{setting.key} [{setting.label}] = {setting.value}")

Filter by Key Prefix

settings = client.list_configuration_settings(
    key_filter="app:settings:*"
)

Filter by Label

settings = client.list_configuration_settings(
    label_filter="production"
)

Feature Flags

Set Feature Flag

from azure.appconfiguration import ConfigurationSetting
import json

feature_flag = ConfigurationSetting(
    key=".appconfig.featureflag/beta-feature",
    value=json.dumps({
        "id": "beta-feature",
        "enabled": True,
        "conditions": {
            "client_filters": []
        }
    }),
    content_type="application/vnd.microsoft.appconfig.ff+json;charset=utf-8"
)

client.set_configuration_setting(feature_flag)

Get Feature Flag

setting = client.get_configuration_setting(
    key=".appconfig.featureflag/beta-feature"
)
flag_data = json.loads(setting.value)
print(f"Feature enabled: {flag_data['enabled']}")

List Feature Flags

flags = client.list_configuration_settings(
    key_filter=".appconfig.featureflag/*"
)
for flag in flags:
    data = json.loads(flag.value)
    print(f"{data['id']}: {'enabled' if data['enabled'] else 'disabled'}")

Read-Only Settings

# Make setting read-only
client.set_read_only(
    configuration_setting=setting,
    read_only=True
)

# Remove read-only
client.set_read_only(
    configuration_setting=setting,
    read_only=False
)

Snapshots

Create Snapshot

from azure.appconfiguration import ConfigurationSnapshot, ConfigurationSettingFilter

snapshot = ConfigurationSnapshot(
    name="v1-snapshot",
    filters=[
        ConfigurationSettingFilter(key="app:*", label="production")
    ]
)

created = client.begin_create_snapshot(
    name="v1-snapshot",
    snapshot=snapshot
).result()

List Snapshot Settings

settings = client.list_configuration_settings(
    snapshot_name="v1-snapshot"
)

Async Client

from azure.appconfiguration.aio import AzureAppConfigurationClient
from azure.identity.aio import DefaultAzureCredential

async def main():
    credential = DefaultAzureCredential()
    client = AzureAppConfigurationClient(
        base_url=endpoint,
        credential=credential
    )

    setting = await client.get_configuration_setting(key="app:message")
    print(setting.value)

    await client.close()
    await credential.close()

Client Operations

OperationDescription
get_configuration_settingGet single setting
set_configuration_settingCreate or update setting
delete_configuration_settingDelete setting
list_configuration_settingsList with filters
set_read_onlyLock/unlock setting
begin_create_snapshotCreate point-in-time snapshot
list_snapshotsList all snapshots

Best Practices

  1. Use labels for environment separation (dev, staging, prod)
  2. Use key prefixes for logical grouping (app:database:*, app:cache:*)
  3. Make production settings read-only to prevent accidental changes
  4. Create snapshots before deployments for rollback capability
  5. Use Entra ID instead of connection strings in production
  6. Refresh settings periodically in long-running applications
  7. Use feature flags for gradual rollouts and A/B testing

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.

适合场景

01

Azure 资源规划

02

云服务升级

03

基础设施检查

04

企业云环境自动化

能力概览

能力 1

整理 Azure 服务操作流程

能力 2

提示 CLI/MCP 前置条件

能力 3

辅助云资源检查和规划

能力 4

保留官方服务来源线索

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.73%
按下载量换算173

Claude

32.15%
按下载量换算155

Cursor

19.7%
按下载量换算95

Gemini CLI

8.93%
按下载量换算43

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills