github-azure-agentic-journeys: Instructions file for Claude Code

AGENTS.md

github-azure-agentic-journeys AGENTS.md is an instructions file for Claude Code, Codex, OpenCode from DanWahlin/github-azure-agentic-journeys. It costs 2,944 tokens per session, scanned A, original, MIT.

Repository instructions for an Azure learning project that uses GitHub Copilot agents and reusable skills to build and deploy applications. They explain the project journeys, prerequisites, and required Azure plugin setup.

In plain words
What is it for?
Use them when starting a journey in the project, installing its Azure tooling, or understanding how its agents, skills, Bicep support, deployment planning, diagrams, and log analysis fit together.
Why use it?
They help contributors follow the repository’s expected tools and naming instead of choosing incompatible installation steps or workflows.

Instructions file for Claude CodeCodexOpenCode

Written for Claude Code and Codex and OpenCode: Claude Code plugin machinery, but also the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is DanWahlin/github-azure-agentic-journeys's own configuration. It tells Claude Code, Codex and OpenCode how to work on github-azure-agentic-journeys itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything github-azure-agentic-journeys configures →

Reuse

Borrowing it

Nothing to install: this file belongs to DanWahlin/github-azure-agentic-journeys. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/DanWahlin/github-azure-agentic-journeys/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/DanWahlin/github-azure-agentic-journeys

Made for: Claude Code, Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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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.

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Per session 2,944 This file is loaded in full into every session.
When invoked 2,944 The same file — it is already loaded in full.
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 $0.02944 $0.02944
Opus 5.5 $0.01178 $0.01178
Sonnet 5.5 $0.00589 $0.00589
Haiku 4.5 $0.00294 $0.00294

Measured 2mo ago against content hash a331184092ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

github-azure-agentic-journeys AGENTS.md 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 2mo 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 300 lines

How it starts

The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agents and Skills

This repository contains agentic journeys that build and deploy applications to Azure using GitHub Copilot agents, skills, and Azure Developer CLI (azd).

Journeys

Journeys are self-contained — learners can start with any of them. The root README.md → Agentic journeys table lists them all with cost estimates.

Plugin (canonical — use everywhere):

/plugin marketplace add microsoft/azure-skills
/plugin install azure@azure-skills

Do not use alternate marketplace names.

Prerequisites

Install the Azure Skills plugin for access to Azure-specific MCP and skills tools (Bicep schemas, deployment planning, architecture diagrams, log analysis):

copilot

Once inside the interactive session, add the marketplace (first time only):

> /plugin marketplace add microsoft/azure-skills

Then install the plugin:

> /plugin install azure@azure-skills

Agent & Skill System

This repo uses GitHub Copilot's agents and skills for organized AI assistance:

  • Agents = WHO - Personas with specific jobs (~100 lines, workflow-focused)
  • Skills = HOW - Reusable patterns and implementation details

Available Agents

Agent Purpose When to Use
@oss-to-azure-deployer Deploy OSS apps to Azure Full deployment journey: requirements -> IaC -> deploy -> verify

Available Skills

Skills are loaded automatically based on context:

App-specific skills:

Skill Purpose
n8n-azure n8n workflow automation (Container Apps + PostgreSQL)
grafana-azure Grafana visualization (Container Apps + SQLite/PostgreSQL)
superset-azure Apache Superset BI platform (AKS + PostgreSQL)

Development patterns:

Skill Purpose
data-access-abstraction Repository pattern for swappable data layers (SQLite, Cosmos DB, PostgreSQL)
container-apps-deployment Container Apps + ACR deployment patterns (ACR auth, zone redundancy, SPA deploy, azure.yaml)
journey-runner Run a journey end-to-end: extract prompts, build, deploy, verify
journey-template Create a new agentic journey from an app idea (full-stack or OSS deployment)
journey-test-harness Run all journeys as a test suite: build, deploy, screenshot, teardown, report

Read the full file on GitHub · 300 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. 2mo ago First seen · 300 lines · 2,944 tokens per session scan A a331184092ae

Subscribe to this mod's changes

github-azure-agentic-journeys AGENTS.md is an instructions file published in the GitHub repository DanWahlin/github-azure-agentic-journeys (38 stars, last pushed 3mo ago), licensed MIT. It adds 2,944 tokens to every session, about $0.0118 per session on Opus 5.5. 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 2026-08-30.

Related

github-azure-agentic-journeys AGENTS.md compared with instructions from other repositories

github-azure-agentic-journeys AGENTS.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
github-azure-agentic-journeys AGENTS.mdDanWahlin/github-azure-agentic-journeysInstructions file383mo agoMITA2,944Claude Code, Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143ktodayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode