microsoft/agentic-journeys is a collection of guided projects that shows how AI coding agents and skills can plan, build, and deploy applications on Azure. It is for developers building Azure applications and teams evaluating agent-assisted development workflows, including APIs, databases, frontends, and AI features. The catalogue entries supply skills, agents, and instructions used in these journeys.
Borrowing it
Nothing to install: this file belongs to microsoft/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.
curl -O https://raw.githubusercontent.com/microsoft/agentic-journeys/main/AGENTS.mdgit clone --depth 1 https://github.com/microsoft/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/microsoft/agentic-journeys/agents-md)<a href="https://agentmods.dev/instructions/microsoft/agentic-journeys/agents-md"><img src="https://agentmods.dev/badge/instructions/microsoft/agentic-journeys/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/instructions/microsoft/agentic-journeys/agents-md"><img src="https://agentmods.dev/badge/instructions/microsoft/agentic-journeys/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.03225 | $0.03225 |
| Opus 5.5 | $0.01290 | $0.01290 |
| Sonnet 5.5 | $0.00645 | $0.00645 |
| Haiku 4.5 | $0.00323 | $0.00323 |
Grade A, and why
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 1mo 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.
This is a copy
100% identical to github-azure-agentic-journeys AGENTS.md — 19 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 311 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 |
tdd-builder |
Red/green test-driven implementation of an issue or plan section | SmartTodo phases and the Phase 4 cloud agent: failing tests first, then code, without changing the tests |
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 |
grill-plan |
Interview the user about an issue or plan before coding, including each plan's Decision Points, and produce a Decisions table and test list |
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.
- 1mo ago Changed · +11 lines · +281 tokens per session 5d00b3bda435
- 2mo ago First seen · 300 lines · 2,944 tokens per session scan A a331184092ae
agentic-journeys AGENTS.md is an instructions file published in the GitHub repository microsoft/agentic-journeys (6 stars, last pushed 12d ago), licensed MIT. It adds 3,225 tokens to every session, about $0.0129 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to github-azure-agentic-journeys AGENTS.md, differing in 19 lines, and is treated as a copy.
agentic-journeys AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agentic-journeys AGENTS.mdmicrosoft/agentic-journeys | Instructions file | 6 | 12d ago | MIT | A | 3,225 | Claude Code, Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |