Azure App Onboard Prereq
MicrosoftOfficialCreated by Microsoft
- Skill
- Review and audit
- Software development
- MIT
- Low risk
- Has scripts
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The azure-app-onboard-prereq skill performs a comprehensive, read-only assessment of a repository to determine if it is prepared for deployment to Azure. It operates as the initial phase of the Azure onboarding pipeline, identifying potential blockers such as unsupported frameworks, incompatible dependencies, or missing configurations. By performing static analysis rather than executing build or test commands, it ensures a safe evaluation of the codebase. The skill generates a structured readiness report and identifies necessary remediations, ensuring that only viable applications proceed to the infrastructure planning and deployment stages.
What it does
- Scans repositories to detect project components, language stacks, and infrastructure requirements.
- Performs static analysis of build manifests to identify missing dependencies or configuration errors.
- Checks for compatibility with Azure services and identifies non-Azure cloud SDKs that require migration.
- Generates a readiness report with per-component verdicts (PASS/WARN/FAIL).
- Validates the presence of necessary configuration files for deployment.
- Enforces a strict read-only policy, prohibiting build, install, or test command execution.
When to use it
- Before starting infrastructure planning or deployment for an existing application.
- When you need to verify if your current codebase is compatible with Azure.
- To identify specific blockers or missing dependencies preventing a successful deployment.
- When you want to assess the health of your build configuration without running the build process.
Advantages
- Ensures deployment readiness without executing potentially unsafe build or test commands.
- Provides clear, actionable feedback on what needs to be fixed before proceeding.
- Integrates seamlessly into the broader Azure onboarding pipeline.
- Reduces deployment failures by catching configuration and dependency issues early.
Usage examples
- “Is my app ready to deploy to Azure?”
- The agent scans the repository, evaluates the build configuration and dependencies, and provides a readiness report with specific findings or blockers.
- “What is blocking my deployment to Azure?”
- The agent identifies missing dependencies, incompatible frameworks, or non-Azure cloud SDKs that must be addressed before deployment can proceed.
- “Scan my repo for Azure deployment issues.”
- The agent performs a static analysis of the codebase and reports on build health, completeness, and any required configuration changes.
- “Are my dependencies compatible with Azure?”
- The agent checks the project manifest against known Azure requirements and flags any problematic or unsupported packages.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/microsoft/azure-app-onboard-prereq/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip azure-app-onboard-prereq.zip -d .agents/skills
Documentation by Microsoft
Azure App Onboard Prereq — Repository Evaluation
Evaluate a user's repository for build health, app completeness, and Azure deployment feasibility — before infrastructure planning. Produces per-component verdicts (PASS/WARN/FAIL) consumed by downstream phases.
Orchestrator relationship: Called by
azure-app-onboardat Step 3, or standalone for code readiness checks. When called by orchestrator, return control toazure-app-onboardafter writing artifacts — do NOT invoke downstream phases directly.
Phase 1 of 4 in AppOnboard pipeline. Session: .copilot-azure/sessions/{session-id}/. Reads context.json. Writes components[], repo{}, detectedInfra[]. Produces prereq-output.json. Schema: prereq-schemas.ts — PrereqOutput, BuildRequirements. Direct entry supported.
When NOT to Use
| Signal | Redirect |
|---|---|
| Validate infrastructure (Bicep/TF/azure.yaml) | azure-validate |
| Generate IaC | azure-prepare |
| End-to-end idea-to-production | azure-app-onboard |
Run azd up or deploy | azure-deploy |
Rules
⛔ ABSOLUTE PROHIBITION —
npm install,npm test,npx jest,pytest, and ALL install/build/test commands are NEVER allowed. Under NO circumstances may you runnpm install,npm test,npx jest,pip install,pytest,dotnet build,dotnet restore,dotnet test,go mod download,cargo build, or ANY package-manager install, build, or test command during the prereq phase. Do NOT run test suites to verify code — check for test config files statically instead. The prereq phase is read-only evaluation + static-only verification. ONLY exception — two sanctioned contexts, both consent-gated: (a) code the agent modified during migration/remediation (see remediation-protocol.md step 6), or (b) code the agent wrote from scratch on the zero-code path (see zero-code-path.md). In either case, install/build/test runs ONLY via the user-confirmed build-validation gate (build-check.md Step 3), after the user answers that specific per-command consent prompt. General prior consent never counts.
⛔ Full pipeline (Steps 1–8), no exceptions. All prompts → Step 1 directly. Answer specific questions AS PART OF findings (Step 5), not before.
⛔ No sub-agents for evaluation. 3-axis evaluation is inline. Exception: zero-code-path scaffolding (Step 2).
Code/destructive modifications require
ask_user. Max 3 questions before results. Direct entry: don't repeat orchestrator's intent questions.
MCP Tools
| Tool | Purpose |
|---|---|
mcp_azure_mcp_get_azure_bestpractices | Validate detected stack patterns against Azure best practices |
mcp_azure_mcp_extension_cli_install | Check/install required CLI tools (az, azd, func) |
Workflow
Step 1: Session Check
Orchestrator entry: Session exists — read context.json, proceed to Step 2.
Direct entry: Check .copilot-azure/sessions/active-session.json:
Exists → ⛔ read session-protocol.md for resume/fresh gate. Do NOT proceed until user answers.
Missing → create session: generate UUID,
New-Item -ItemType Directory -Path ".copilot-azure/sessions/{uuid}" -Force, writecontext.json+active-session.jsonviacreatetool.
Then: az account show → merge {id, name, tenantId} into context.json.azure. ⛔ Session MUST exist on disk before any scanning.
Step 2: Scan Workspace
Scan for project files. Detect components, repo{}, detectedInfra[], detectedServices[]. Classify Terraform providers. Check CLI availability. Stack detection conflicts: user explicit statement wins (write to context.json, mark scan as override); scan-only → confirm with user; multiple stacks → show all and ask (see component-mapping.md); no code → zero-code-path.md.
If no project files, no Dockerfile, AND no index.html → ⛔ read zero-code-path.md.
⛔ Cloud SDK early gate. Grep for
aws-sdk|@aws-sdk|boto3|google-cloud|@google-cloud|firebase. If functional deps found → read cloud-sdk-migration.md, thenask_user: "Redirect to Azure Cloud Migrate" (setrouteToSkill: "azure-cloud-migrate") · "Continue evaluation anyway" (finish readiness eval + SDK→Azure mapping, then STOP at Step 8 — no plan until the deps are swapped) · "Cancel".
Step 3: Per-Component Evaluation
| Sub-step | Action | Reference |
|---|---|---|
| 3.1 | Build check | ⛔ You MUST read build-check.md |
| 3.2 | Completeness check | ⛔ You MUST read completeness-check.md |
| 3.3 | Deployability check | ⛔ You MUST read deployability-check.md |
| 3.3a | Component mapping (conditional) | Read component-mapping.md ONLY IF >1 project manifest found (monorepo) |
Populate buildRequirements per component after evaluation. Verdict propagation, tier rules, and f1Viable aggregation are in readiness-gate.md and the individual check references.
Step 4: Write Artifacts + Readiness Gate
⛔ Verify context.json exists on disk. ⛔ You MUST read readiness-gate.md (verdicts, tiers, batch-then-approve, fast-track), then ⛔ You MUST read prereq-artifacts.md (write procedures, schemas).
Step 5: Present Findings
Per readiness-gate.md § Present Findings — show verdicts grouped by severity before proceeding.
Step 6: Remediation (conditional)
⛔ You MUST read remediation-protocol.md IF any ❌ FAIL verdict, 🔧 Recommended Fix, or ⚠️ WARN with fixPhase: "prereq" exists. Contains remediation loop, static verification, re-eval mandate, post-remediation artifact updates, and the build-validation consent gate. If all verdicts are ✅ PASS or ⚠️ WARN without fixPhase: "prereq", skip to Step 7.
Step 7: Write Final State
completedPhases already has "prereq" + currentPhase: null (from Step 4). Then:
⛔ Write
lastScanCommit. Rungit rev-parse HEADand store the full 40-character SHA ascontext.json.repo.lastScanCommit. Required — staleness guard in Step 1 compares to HEAD on resume to detect changes.
Step 8: Route
⛔ Mandatory — do NOT skip this step.
Routing fields: All routing writes
routeToSkillandrouteReasontocontext.json.
Post-remediation context: If Step 6 ran, lead the routing prompt with: "Remediation complete — {N} issues fixed, your app is now {overallHealth}."
⛔ Evaluate rows top to bottom — first match wins.
| # | Condition | Action |
|---|---|---|
| 1 | routeToSkill set (any entry) | ask_user: "Redirect to {routeToSkill}" / "Not now". ⛔ Pipeline stops — do NOT proceed to architecture planning. |
| 2 | cloudSdkFindings[] non-empty (user chose "Continue evaluation anyway") | Present the cloud-SDK → Azure swap mapping as 🔶 blockers, then ask_user with this exact prompt: "🔶 Cloud SDK migration required — these dependencies must be swapped before this app can deploy to Azure. (Redirect to azure-cloud-migrate / Stop — swap manually and re-run)" — Redirect sets routeToSkill: "azure-cloud-migrate", Stop halts. ⛔ Pipeline stops — do NOT proceed to architecture planning, and do NOT offer a "continue to prepare" option; the app can't deploy until the deps are swapped. |
| 3 | Orchestrator + no routeToSkill | Tell the user: "✅ Your app has been evaluated and is ready — let's plan your Azure deployment." Then invoke azure-app-onboard. ⛔ Do NOT stop, do NOT wait for user input, do NOT narrate internal handoffs. The user already consented to the full pipeline at scope triage. |
| 4 | Direct + ready/readyWithCaveats + no Azure infra | ask_user: "Deploy to Azure (full pipeline)" → invoke azure-app-onboard / "Not now" |
| 5 | Direct + ready/readyWithCaveats + existing Azure infra | ask_user: "Start fresh" → invoke azure-app-onboard / "Use existing infra" → invoke azure-prepare / "Not now" |
| 6 | Direct + blocked | Report blocker summary + "Fix and re-run." |
Severity tiers (🛑🔶❌🔧⚠️✅) are defined in readiness-gate.md.
Outputs
| Artifact | Location | Consumer |
|---|---|---|
| Session context | context.json → components[], repo{}, detectedInfra[], detectedServices[] | All downstream phases |
| Prereq output | prereq-output.json | prepare phase (via azure-app-onboard) |
| Readiness report | .copilot-azure/sessions/{uuid}/readiness-report.md | User (offline reference) |
Files
- ATTRIBUTION.mdAdded by AutoGineer1004 B
- LICENSELicence file added by AutoGineer1.1 KiB
- SKILL.md10.0 KiB
- references/build-check.md5.7 KiB
- references/cloud-sdk-migration.md2.2 KiB
- references/completeness-check.md4.4 KiB
- references/component-mapping.md4.6 KiB
- references/dependency-compatibility.md10.0 KiB
- references/deployability-check.md3.1 KiB
- references/prereq-artifacts.md2.3 KiB
- references/prereq-schemas.tsScript4.2 KiB
- references/readiness-gate.md5.4 KiB
- references/remediation-protocol.md3.6 KiB
- references/session-protocol.md7.4 KiB
- references/session-schemas.tsScript5.2 KiB
- references/subagent-starter-scaffold.md4.0 KiB
- references/subscription-resolution.md1.8 KiB
- references/zero-code-path.md3.6 KiB
references/readiness-gate.md
Readiness Gate — Step 4
Write Artifacts
⛔ You MUST read prereq-artifacts.md for complete artifact write procedures and phase exit checklist.
Severity Tiers
| Verdict | Icon | Meaning |
|---|---|---|
| Hard Halt | 🛑 | App is intentionally vulnerable — pipeline stops, no fix possible |
| Major Migration | 🔶 | Large-scope change (EOL runtime, cloud SDK migration, >5 files) — redirect or warn |
| Critical | ❌ FAIL | Deployment will fail — agent can fix (≤5 files, config-level) |
| Recommended Fix | 🔧 | App deploys but has quality/security issues — agent offers fix |
| Warning | ⚠️ WARN | Informational, non-blocking — can proceed with caveats |
| Pass | ✅ PASS | No issues |
Overall Health Gate
Compute overallHealth: ALL ✅ PASS → "ready" | Any ⚠️ WARN no ❌ FAIL → "readyWithCaveats" | ANY ❌ FAIL → "blocked"
Component readiness.status alignment:
"ready"→readiness.status: "ready""readyWithCaveats"→readiness.status: "ready"(WARNs aren't "needs fixes")"blocked"→readiness.status: "needsFixes"After remediation →
readiness.status: "fixesApplied"
⛔ readiness.status: "needsFixes" requires at least one ❌ FAIL. If all ⚠️/✅, use "ready".
Critical Readiness Gate
⛔ Verdict propagation cross-check before computing overallHealth:
Any finding with
verdict: "FAIL"→ axis verdict MUST be"FAIL".Any finding with
verdict: "WARN"+fixPhase: "prereq"→ escalate to"FAIL"(prevents wasting a deploy cycle). ⛔ Escalate only WARNs that would actually break THIS deploy (build/startup failure, or a health probe wired to a route the app lacks). Issues that deploy and run fine — missing trust proxy, README, in-memory sessions — stayfixPhase: "postdeploy"/"scaffold";engines/health-endpoint escalate only on a real version/probe mismatch (see completeness-check.md § Stack-Specific Checks).
| Tiers | Reference file |
|---|---|
| 🛑 🔶 🔧 ⚠️ | dependency-compatibility.md |
| ❌ 🔧 | completeness-check.md |
| ❌ | build-check.md |
Post-evaluation HALT cross-check: Intentionally vulnerable apps (≥2 code signals from dependency-compatibility.md) → overallHealth: "blocked" MUST be written to prereq-output.json on disk (Step 4) BEFORE any halt message. If the artifact is not on disk when you reach the halt, write it NOW via the create tool and read it back — do NOT present the halt until it exists.
Batch-Then-Approve Flow
⛔ Artifacts before message. Write AND read back all 3 artifacts (prereq-output.json, context.json, readiness-report.md) to confirm they exist on disk BEFORE presenting any findings, cloud-SDK stop prompt, or 🛑 hard-halt message. Those messages can end the turn, so every artifact MUST already be persisted — NEVER batch artifact writes after the message.
Detect ALL issues first — full 3-axis scan, all components.
Present ALL findings at once — summary: "🔍 Readiness: 2 critical, 1 recommended fix, 3 warnings". Group: 🛑 → 🔶 → ❌ → 🔧 → ⚠️.
Fix plan — for ❌, 🔧, 🔶, ⚠️ with
fixPhase: "prereq": describe WHAT and WHY. ⛔ Exclude 🔶 withrouteToSkillset. Never include 🛑.User choice (based on highest severity):
🛑: Pipeline stops. No formal gate.
🔶 + others: "Fix {N} issues including {M} migration(s) — scope warning" / "Fix blockers only" / "Continue with risks" / "Cancel"
🔶 only: "Attempt migration" / "Continue as-is" / "Cancel"
❌/🔧/⚠️ with fixPhase prereq: "Fix {N} deployment issues" / "Continue with risks" / "Cancel"
After approval → apply fixes per remediation-protocol.md.
⛔ Two-gate rule: Intent approval ≠ fix execution approval. Present the fix prompt here even if user agreed earlier.
Fast-Track
Single-component + no DB + no auth + no Dockerfile → fastTrackEligible: true.
Present Findings (Step 5)
⛔ Do NOT skip — user must see scan results before pipeline continues.
Part 1 — Summary: "🔍 Readiness: {N} critical, {M} fixes, {K} warnings" (or "✅ Ready"). Part 2 — Per-axis reasoning: Verdict icon + 1–2 sentence summary per axis. Part 3 — Findings table: Grouped by severity. Include warning ID and actionable detail.
Data-loss warnings (SQLite, in-memory sessions, local file storage) require explicit acknowledgment. Other ⚠️ are informational.
End with: "📄 Full evaluation saved to readiness-report.md."
Remediation Decision Gate
⛔ STOP after presenting findings. Options:
"Fix deployment issues" — fix all actionable items (❌, 🔧, ⚠️ with
fixPhase: "prereq"). Re-evaluate after."I have context — let me guide the fixes"
"Continue without fixing — I accept the risks"
Wait for explicit choice. Generic "Yes"/"Go ahead" ≠ remediation consent — clarify if ambiguous.
⛔ Remediation budget: Max 3 cycles. See remediation-protocol.md step 7.
⛔ ARTIFACT CHECKPOINT. After presenting findings, verify all 3 artifacts exist:
context.json,prereq-output.json,readiness-report.md. Write any missing ones NOW.
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs Python, Needs Node.js
Security
What our scanner noticed· Low risk
- Instructions that use the network
- Scripts that your agent may run
This skill includes scripts that your agent may run. Read them before you use it.
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- Microsoft
- Publisher
- Microsoft (Official)
- Source
- microsoft/skills · .github/plugins/azure-skills/skills/azure-app-onboard-prereq · commit 0696600
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from .github/plugins/azure-skills/LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
- Also distributed in
- microsoft/azure-skills
AutoGineer is not affiliated with or endorsed by Microsoft or Microsoft.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download azure-app-onboard-prereq.zip