azure-patterns

azure-patterns is a skill for Claude Code, Codex from vibeeval/vibecosystem. It costs 19 tokens per session (1,750 once invoked), scanned A, original, MIT.

A collection of design patterns for Azure applications, covering Azure Functions, Cosmos DB, Service Bus, and Bicep infrastructure templates. Azure is Microsoft's cloud platform.

In plain words
What is it for?
Use it when building Azure serverless endpoints, message-driven services, Cosmos DB models, or infrastructure described with Bicep.
Why use it?
It gives developers established structures for handling HTTP requests, messages, database models, and cloud resource definitions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when building Azure serverless endpoints, message-driven services, Cosmos DB models…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vibeeval/vibecosystem/azure-patterns
Install

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.

Any agent
npx skills add vibeeval/vibecosystem --skill azure-patterns
Clone the repo
git clone --depth 1 https://github.com/vibeeval/vibecosystem

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for azure-patterns

README.md
[![agentmods](https://agentmods.dev/badge/skills/vibeeval/vibecosystem/azure-patterns.svg)](https://agentmods.dev/skills/vibeeval/vibecosystem/azure-patterns)
Your own site
<a href="https://agentmods.dev/skills/vibeeval/vibecosystem/azure-patterns"><img src="https://agentmods.dev/badge/skills/vibeeval/vibecosystem/azure-patterns.svg" alt="Measured on agentmods" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,750 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00019 $0.01750
Opus 5 $0.00010 $0.00875
Sonnet 5 $0.00004 $0.00350
Haiku 4.5 $0.00002 $0.00175

Measured 3d ago against content hash 93b5bbf99a89, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

azure-patterns 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 3d 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.

skills/azure-patterns/SKILL.md · 227 lines

How it starts

The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Azure Patterns

Azure Functions

HTTP Trigger (Node.js v4)

import { app, HttpRequest, HttpResponseInit, InvocationContext } from '@azure/functions';

app.http('getOrder', {
  methods: ['GET'],
  authLevel: 'function',
  route: 'orders/{orderId}',
  handler: async (request: HttpRequest, context: InvocationContext): Promise<HttpResponseInit> => {
    const orderId = request.params.orderId;
    context.log(`Processing order: ${orderId}`);

    try {
      const order = await orderService.getById(orderId);
      if (!order) {
        return { status: 404, jsonBody: { error: 'Order not found' } };
      }
      return { status: 200, jsonBody: order };
    } catch (error) {
      context.error('Failed to get order', error);
      return { status: 500, jsonBody: { error: 'Internal server error' } };
    }
  },
});

// Service Bus trigger with retry
app.serviceBusTopic('processOrderEvent', {
  topicName: 'order-events',
  subscriptionName: 'order-processor',
  connection: 'ServiceBusConnection',
  handler: async (message: unknown, context: InvocationContext) => {
    const event = message as OrderEvent;
    context.log(`Processing event: ${event.type} for order ${event.orderId}`);

    await processEvent(event);
  },
});

Durable Functions (Orchestrator)

import * as df from 'durable-functions';

df.app.orchestration('orderWorkflow', function* (context) {
  const orderId = context.df.getInput() as string;

  // Step 1: Validate order
  const order = yield context.df.callActivity('validateOrder', orderId);

  // Step 2: Reserve inventory (with retry)
  const retryOptions = new df.RetryOptions(5000, 3); // 5s interval, 3 attempts
  yield context.df.callActivityWithRetry('reserveInventory', retryOptions, order);

  // Step 3: Charge payment
  yield context.df.callActivity('chargePayment', order);

  // Step 4: Wait for shipping confirmation (with timeout)
  const deadline = new Date(context.df.currentUtcDateTime.getTime() + 24 * 60 * 60 * 1000);
  const shippingEvent = context.df.waitForExternalEvent('shippingConfirmed');
  const timeout = context.df.createTimer(deadline);

  const winner = yield context.df.Task.any([shippingEvent, timeout]);
  if (winner === timeout) {
    yield context.df.callActivity('escalateShipping', orderId);
  }

  return { orderId, status: 'completed' };
});

Read the full file on GitHub · 227 lines

Changes

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.

  1. 3d ago First seen · 227 lines · 19 tokens per session scan A 93b5bbf99a89

Subscribe to this mod's changes

azure-patterns is a skill published in the GitHub repository vibeeval/vibecosystem (530 stars, last pushed 29d ago), licensed MIT. It adds 19 tokens to every session and 1,750 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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