Borrowing it
Nothing to install: this file belongs to MicrosoftLearning/trainer-demo-deploy. 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/MicrosoftLearning/trainer-demo-deploy/main/.github/skills/az-azure-deploy/SKILL.mdgit clone --depth 1 https://github.com/MicrosoftLearning/trainer-demo-deployWrote 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/skills/microsoftlearning/trainer-demo-deploy/az-azure-deploy)<a href="https://agentmods.dev/skills/microsoftlearning/trainer-demo-deploy/az-azure-deploy"><img src="https://agentmods.dev/badge/skills/microsoftlearning/trainer-demo-deploy/az-azure-deploy/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/skills/microsoftlearning/trainer-demo-deploy/az-azure-deploy"><img src="https://agentmods.dev/badge/skills/microsoftlearning/trainer-demo-deploy/az-azure-deploy.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 | $0.00024 | $0.02742 |
| Opus 5.5 | $0.00010 | $0.01097 |
| Sonnet 5.5 | $0.00005 | $0.00548 |
| Haiku 4.5 | $0.00002 | $0.00274 |
Grade A, and why
azure-deploy 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Deploy Skill
Deployment patterns and procedures for Azure infrastructure provisioned via Bicep templates and the Azure Developer CLI (azd). Covers the full deployment lifecycle: pre-flight checks, execution strategies, post-deployment validation, rollback, and cleanup.
[!CAUTION] MANDATORY DEPLOYMENT POLICY
- Always attempt deployment: The Deploy agent MUST always attempt
azd up. Tooling blockers (missing CLI, extension errors, auth issues) must be resolved or escalated to the user — never used as a reason to autonomously skip deployment.- User decides on failure: If deployment fails for any reason, present the full error to the user and ask for their decision. Never autonomously generate a "dry-run only" or "blocked" summary and move on.
- Escalate, don’t absorb: If a pre-deployment gate fails and cannot be auto-fixed, ask the user. Do not silently document the failure and skip ahead.
1. Deployment Strategy Selection
Choose the deployment method based on available project artifacts:
| Method | When to Use | Prerequisites |
|---|---|---|
azd up (preferred) |
azure.yaml exists in generated-scenarios/{project}/ |
Azure Developer CLI installed, az login completed |
Decision Tree
azure.yaml exists?
├── YES → Use azd up
└── NO → Generate azure.yaml first, then use azd up
2. Azure Developer CLI (azd) Patterns
First-Time Setup
# Verify azd is installed
azd version
# Initialize environment (first time only)
cd generated-scenarios/{project}
azd init
# Set environment name
azd env new {project}-{env}
azd env set AZURE_LOCATION eastus2
azd up — Full Deployment
azd up provisions infrastructure AND deploys application code in one step:
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.
- today First seen · 310 lines · 24 tokens per session scan A 00589469154d
azure-deploy is a skill published in the GitHub repository MicrosoftLearning/trainer-demo-deploy (31 stars, last pushed 11d ago), licensed MIT. It adds 24 tokens to every session and 2,742 once invoked, about $0.0001 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 2026-11-07.
azure-deploy compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| azure-deployMicrosoftLearning/trainer-demo-deploy | Skill | 31 | 11d ago | MIT | A | 24 | Claude Code, Codex |
| gke-compute-classesgoogle/skills | Skill | 23k | today | Apache-2.0 | A | 83 | Claude Code, Codex |
| gke-reliabilitygoogle/skills | Skill | 23k | today | Apache-2.0 | A | 85 | Claude Code, Codex |
| gke-workload-securitygoogle/skills | Skill | 23k | today | Apache-2.0 | A | 171 | Claude Code, Codex |
| cloud-architectJeffallan/claude-skills | Skill | 12k | 7d ago | MIT | A | 71 | Claude Code |
| nemo-automodel-launcher-configNVIDIA/skills | Skill | 3.9k | today | Apache-2.0 | A | 30 | Claude Code |
| azure-mgmt-botservice-dotnetmicrosoft/skills | Skill | 3.2k | today | MIT | A | 78 | Claude Code |