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-validate/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-validate)<a href="https://agentmods.dev/skills/microsoftlearning/trainer-demo-deploy/az-azure-validate"><img src="https://agentmods.dev/badge/skills/microsoftlearning/trainer-demo-deploy/az-azure-validate/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-validate"><img src="https://agentmods.dev/badge/skills/microsoftlearning/trainer-demo-deploy/az-azure-validate.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 | $0.00036 | $0.03338 |
| Opus 5.5 | $0.00014 | $0.01335 |
| Sonnet 5.5 | $0.00007 | $0.00668 |
| Haiku 4.5 | $0.00004 | $0.00334 |
Grade A, and why
azure-validate 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 — 410 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Validate Skill
Pre-deployment and post-deployment validation gates that ensure Azure infrastructure is ready for deployment and correctly provisioned afterward. Used by the Deploy agent as hard gates before executing any deployment.
1. Pre-Deployment Validation Gates
All gates must pass before deployment proceeds. Each gate is a hard stop — failure means the deployment cannot continue until the issue is resolved.
[!CAUTION] GATE FAILURE POLICY: If a gate fails and cannot be auto-remediated, present the failure to the user and ask how to proceed. Do NOT autonomously skip deployment or generate a dry-run summary. The user must explicitly decide whether to:
- Fix the issue and retry
- Skip the gate (accepting risk)
- Abort the deployment
Gate Sequence
Gate 1: Authentication → az login / azd auth status
Gate 2: Subscription → correct subscription selected
Gate 3: Template → bicep build + bicep lint pass
Gate 4: Parameters → required params have values
Gate 5: Resource Providers → all needed providers registered
Gate 6: What-If → no unexpected destructive changes
2. Gate 1 — Authentication Check
Azure CLI
# Check if logged in
$account = az account show 2>$null | ConvertFrom-Json
if (-not $account) {
Write-Error "Not authenticated. Run 'az login' first."
exit 1
}
Write-Host "Authenticated as: $($account.user.name)"
Write-Host "Tenant: $($account.tenantId)"
Azure Developer CLI
# Check azd authentication
azd auth login --check-status
Expected Output
| Field | Check |
|---|---|
user.name or user.type |
Non-empty; matches expected identity |
tenantId |
Matches the target tenant |
state |
Enabled |
[!WARNING] Service principal authentication (
user.type: "servicePrincipal") may have restricted permissions compared to interactive login. Verify RBAC before proceeding.
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 · 410 lines · 36 tokens per session scan A 239e8a0676b0
azure-validate is a skill published in the GitHub repository MicrosoftLearning/trainer-demo-deploy (31 stars, last pushed 11d ago), licensed MIT. It adds 36 tokens to every session and 3,338 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-validate compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| azure-validateMicrosoftLearning/trainer-demo-deploy | Skill | 31 | 11d ago | MIT | A | 36 | 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 |