Agent skill · Audited from source

azure-app-onboard

skill · microsoft/azure-skillsMIT licenceAudited 21 Oct 2026 · source 52f11f1fe80c

★ 1,583pushed todayversion 1.2.6
!CAUTIONGrade B · 89/100 · 3 findings · 52f11f1
1,583repo stars · whole microsoft/azure-skills

Is it safe? With care — CAUTION, grade B (89/100). We read this skill's source at commit 52f11f1fe80c and found no filesystem, network or shell access and no hard-coded secrets. The audit raised 3 findings, 0 critical or high. What it does: End-to-end orchestrator: from a business idea, app idea, or existing app to running Azure deployment with cost estimates and pre-deploy approval. Analyzes your app, auto-detects the right Azure services, scaffolds…

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Cite this page

ModelsAtlas. “azure-app-onboard (microsoft/azure-skills)”. Retrieved 21 Oct 2026. https://modelsatlas.com/skills/microsoft/azure-app-onboard

Trust audit

Audit 0.4.1 · source read 21 Oct 2026

Trust score89/100!CAUTION B
0 critical0 high1 medium0 low2 info

CAUTION means the audit found things worth knowing before you trust this skill. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codePASS0
L2 InstructionsPrompt injection, authority framing, hidden directivesWARN3
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (3)

MEDIUMPrompt injectionreview.instruction_override · SKILL.md
F-01 Prompt injectionCWE-94 · CWE-1427Layer L2
Do not skip steps, refuse, or short-circuit based on what you recognize
Why
Directs the agent to override its judgment and never refuse or short-circuit the pipeline.
Fix
rewrite it so the instruction says plainly what it does, and asks the user before it acts
INFOPrompt injectionprompt.credential_read · scaffold/references/iac-generation-rules.md:13
F-01 Prompt injectionCWE-94 · CWE-1427Layer L2
> **Env var completeness:** Read `.env.example` (or `.env.sample`, `config.example`) + config/settings files (Pydantic `Settings`, `@t3-oss/env-nextjs`, Django `settings.py`) for each component to enu
Why
asks the agent to read credentials
Fix
—
INFOPrompt injectionprompt.credential_read · scaffold/references/subagent-iac-gen.md:66
F-01 Prompt injectionCWE-94 · CWE-1427Layer L2
**Do:** For each component in the plan, read `.env.example` (or `.env.sample`, config files like Pydantic `Settings`, Django `settings.py`) from the workspace. Map every env var to either: (1) a Bicep
Why
asks the agent to read credentials
Fix
—

Audit 0.4.1 · source sha 52f11f1fe80c · 21 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publishermicrosoft GitHub organizationOwner of the repository this skill is read from
  • Source foldermicrosoft/azure-skills/skills/azure-app-onboardThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict52f11f1fe80cA new audit runs when the source changes
  • Repository statusNot archivedPushed today
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: End-to-end orchestrator: from a business idea, app idea, or existing app to running Azure deployment with cost estimates and pre-deploy approval. Analyzes your app, auto-detects the right Azure services, scaffolds…

---
name: azure-app-onboard
description: "End-to-end orchestrator: from a business idea, app idea, or existing app to running Azure deployment with cost estimates and pre-deploy approval. Analyzes your app, auto-detects the right Azure services, scaffolds infrastructure code, and deploys — tailored to your app, not a template. Handles moving existing apps to Azure without rewriting or with minimal changes. WHEN: bring your app to Azure, plan my app, cost to run, is my code ready to deploy, deploy my app to the cloud, deploy all my services, what Azure services do I need, plan my Azure deployment, deploy my new app to Azure, one-click deploy, I have an app and want it on Azure, migrate my app to Azure, help me get started, build an app, no code yet, starter project. DO NOT USE FOR: use azd for deployment(use azure-deploy), optimizing existing costs (use cost-optimization), code readiness checks only (use azure-app-onboard-prereq)."
license: MIT
metadata:
  author: Microsoft
  version: "1.2.6"
---

# Azure App Onboard

> ⛔ **Every repo goes through the full pipeline (Steps 1–10). No exceptions.** Do not skip steps, refuse, or short-circuit based on what you recognize. Follow the Workflow table below sequentially — read each step's references before acting.

## Quick Reference

| Property | Value |
|----------|-------|
| Best for | Developers who know what to build but not which Azure services to use |
| Inputs | Business idea or existing codebase, budget/scale preferences (optional) |
| Outputs | Architecture plan, cost estimate, IaC files, deployed Azure resources |
| Phases | Discover → Architect → Scaffold → Deploy (self-contained, no external skill calls) |

## When to Use This Skill

- Deploy existing code without knowing which Azure services to use
- Check if your existing code is ready to deploy to Azure
- Move an existing app to Azure without rewriting or with minimal changes
- Get cost estimates before committing to infrastructure
- Understand architecture decisions and rejected alternatives
- Get answers to Azure architecture or service selection questions (e.g., "What database should I use?")
- Get guided Azure onboarding without prior experience

## When NOT to Use

| Scenario | Use Instead |
|----------|-------------|
| Run `azd up` or execute an existing deployment | `azure-deploy` |
| Optimize existing Azure spend | `cost-optimization` from the optional `azure-cost` plugin |
| Generate Bicep/Terraform for a known architecture | `azure-prepare` |
| Validate infrastructure or run preflight checks | `azure-validate` |
| Troubleshoot a running Azure deployment | `azure-diagnostics` |
| Deploy to or manage AKS/Kubernetes directly | `azure-kubernetes` |
| Look up or list existing Azure resources | `azure-resource-lookup` |

If `cost-optimization` is unavailable, explain that it is provided by the
optional `azure-cost` plugin and direct the user to their client's supported
plugin installation flow; do not imply the handoff completed.

## Pipeline Rules

> ⛔ **You MUST read [`references/pipeline-rules.md`](references/pipeline-rules.md) at the start of every AppOnboard session.** It contains approval gates, phase lifecycle, session artifacts, deploy-as-is, and security baseline rules.

## Workflow

> ⛔ **Deploy recovery:** After deploy gate approval OR before any `az deployment`/`az webapp deploy`/`az acr build` — if you haven't read `deploy/SKILL.md`, read `.copilot-azure/sessions/{id}/deploy-checklist.md` first, then `deploy/SKILL.md`. ⛔ NEVER invoke `{"skill": "azure-deploy"}` — that is a DIFFERENT skill for a DIFFERENT workflow.

> ⛔ **Post-scaffold transition (MANDATORY):** Immediately after `scaffold-manifest.json` is written, YOUR NEXT ACTION MUST be Step 8 (Deploy Approval Gate) — NOT a summary report, NOT a "here are the generated files" message, NOT a completion signal. Confirm `context.json` has `completedPhases: [...,"scaffold"]` + `currentPhase: "deploy"` (update it yourself if the scaffold subagent didn't). Re-read [approval-gates.md § Deploy Gate](references/approval-gates.md) if evicted from context (scaffold reference loading is heavy), then present the exact prompt: **"🚀 Ready to deploy? (Yes / Run manually / Edit plan / Cancel)"**. This gate is the LAST content in your response — wait for the user's reply.

| # | Step | Action | Reference |
|---|------|--------|-----------|
| 1 | **Session check + Azure login** | Create/resume session, verify Azure CLI auth, resolve subscription + user identity | ⛔ **You MUST read [session-protocol.md](references/session-protocol.md)** |
| 2 | **Scope triage** | Check azd markers, triage question. Empty workspace or code-only (no infra) → Step 3 directly. | ⛔ Read [intent-gathering.md](references/intent-gathering.md) § Scope Triage |
| 3 | **Prereq scan** | ⛔ Skip if `completedPhases` includes `"prereq"`. Otherwise: invoke `{"skill": "azure-app-onboard-prereq"}`. Write `prereq-output.json`, update `context.json`. **Halt if:** `overallHealth: "blocked"` OR `routeToSkill` set. | |
| 4 | **Gather intent** | Present prereq results, confirm stack + Azure services, ask remaining questions. | ⛔ Read [intent-gathering.md](references/intent-gathering.md) § After Prereq Returns |
| 5 | **Plan architecture** | Write `prepare-plan.json`. | ⛔ **You MUST read [prepare/SKILL.md](prepare/SKILL.md)** |
| 6 | **Scaffold approval gate** | Display plan for user approval BEFORE generating any files. | ⛔ Read [approval-gates.md](references/approval-gates.md) § Scaffold Gate |
| 7 | **Scaffold** | Generate IaC, self-review. Write `scaffold-manifest.json`. Update `context.json`. | ⛔ **You MUST read [scaffold/SKILL.md](scaffold/SKILL.md)** |
| 8 | **Deploy approval gate** | Display validation summary. ⛔ After approval: FIRST read deploy-checklist.md → deploy/SKILL.md. NEVER `{"skill": "azure-deploy"}`. | ⛔ Read [approval-gates.md](references/approval-gates.md) § Deploy Gate |
| 9 | **Deploy** | Execute IaC, health-check. Write `deploy-result.json`. | ⛔ **Y

Excerpt, first 6,001 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 52f11f1

Download folder ↗
git clone https://github.com/microsoft/azure-skills
git -C azure-skills checkout 52f11f1fe80c

The author documents no install command, so this uses the repository directly. Our verdict covers commit 52f11f1fe80c only.

Works in which agents?

What its own text says, not a test

AgentStatusMore
GitHub CopilotMentioned in its text, not testedSkills for GitHub Copilot · About GitHub Copilot
“Mentioned” means the skill’s text names the agent. We have not run it there.

Audit history

Every audit, every source change

  1. !CAUTION B 89 / 100

    first audit · source 52f11f1fe80c

README badge

For maintainers · shows the latest audit

ModelsAtlas: CAUTION BMODELSATLASCAUTION · B
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The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.

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Questions about azure-app-onboard

What does the azure-app-onboard skill do?
Official agent plugin providing skills and MCP server configurations for Azure scenarios.
Is azure-app-onboard safe to install?
With care. The audit graded it B (89/100) and found 3 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can azure-app-onboard access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does azure-app-onboard work with?
Its documentation mentions copilot. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (52f11f1fe80c), read on 2026-10-21. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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