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 agentmods add instructions/danwahlin/github-azure-agentic-journeys/agents-mdgit clone --depth 1 https://github.com/DanWahlin/github-azure-agentic-journeysWrote 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/instructions/danwahlin/github-azure-agentic-journeys/agents-md)<a href="https://agentmods.dev/instructions/danwahlin/github-azure-agentic-journeys/agents-md"><img src="https://agentmods.dev/badge/instructions/danwahlin/github-azure-agentic-journeys/agents-md.svg" alt="Measured on agentmods" 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 | $0.02944 | $0.02944 |
| Opus 5 | $0.01472 | $0.01472 |
| Sonnet 5 | $0.00589 | $0.00589 |
| Haiku 4.5 | $0.00294 | $0.00294 |
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 4d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- agentic-journeys AGENTS.md — 100% identical, 0 lines differ
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 |
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.
- 4d ago First seen · 300 lines · 2,944 tokens per session scan A a331184092ae
github-azure-agentic-journeys AGENTS.md is an instructions file published in the GitHub repository DanWahlin/github-azure-agentic-journeys (37 stars, last pushed 1mo ago), licensed MIT. It adds 2,944 tokens to every session, about $0.0147 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 2026-08-30.
Other instructions, from other repositories
generative-ai-for-beginners AGENTS.md
Instructions for microsoft/generative-ai-for-beginners, covering agents.md, project overview, setup commands, initial repository setup and clone the repository.
Hosted_Agents_Workshop_dotNET AGENTS.md
Instructions for microsoft/Hosted_Agents_Workshop_dotNET, covering agents.md, repository purpose, general rules, documentation rules and code and build rules.
Alex_Skill_Mall critical-thinking.instructions.md
Critical thinking framework — challenge assumptions, evaluate evidence, detect bias, and test falsifiability.
ai901-cert-buddy-claude CLAUDE.md
Claude Code instructions for timothywarner-org/ai901-cert-buddy-claude, covering claude.md, what this is, where things live (claude code primitives), the grounding contract (non-negotiable) and ai-901 canonical facts.
az104-cert-buddy copilot-instructions.md
Instructions for timothywarner-org/az104-cert-buddy, covering copilot instructions, repository purpose, key locations, skill and agent conventions and mcp server ids.
az104-cert-buddy CLAUDE.md
Instructions for timothywarner-org/az104-cert-buddy, covering claude.md, repository purpose, architecture, skill discovery (critical gotcha) and cross-reference dependencies.