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azure-app-onboard-prereq

Assess whether source code is ready to deploy to Azure — the check BEFORE infrastructure work. Evaluates build health, app completeness, dependencies and local services, stack compatibility, and deployment feasibility.

Install / Use

npx skills add microsoft/skills --skill azure-app-onboard-prereq

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

86/100

Category

Operations

Supported Platforms

Universal

Our assessment of azure-app-onboard-prereq

azure-app-onboard-prereq scores 86/100 on our quality scale, 279th of 503 Operations skills we index.

Its SKILL.md is 9.8 KB long, well organised into 14 sections and no code examples: a thorough specification that gives an agent plenty to work with.

With 3,051 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
13/20
Description
15/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 5 days ago, so azure-app-onboard-prereq is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-29. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

azure-app-onboard-prereq compared with similar skills

All 4 of these similar skills score higher than azure-app-onboard-prereq; compare them before choosing.

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Frequently asked questions

How do I install azure-app-onboard-prereq?
Run npx skills add microsoft/skills --skill azure-app-onboard-prereq. The install tabs above show the steps for each supported agent.
Which AI agents does azure-app-onboard-prereq work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is azure-app-onboard-prereq safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is azure-app-onboard-prereq still maintained?
The repository was last updated 5 days ago, so azure-app-onboard-prereq is actively maintained.

name: azure-app-onboard-prereq description: "Assess whether source code is ready to deploy to Azure — the check BEFORE infrastructure work. Evaluates build health, app completeness, dependencies and local services, stack compatibility, and deployment feasibility. Answers questions about what your app needs before it can be deployed — frameworks, dependencies, and configuration. Checks whether dependencies are compatible and identifies deployment blockers and unsupported frameworks. WHEN: "evaluate my repo", "is my app ready to deploy", "what does my app need to deploy", "what do I need before deploying", "does my app need", "can I ship this to Azure", "scan my repo for issues", "is this app deployable", "check if my app is ready for Azure", "do I need a Dockerfile", "what's blocking my deployment", "are there any blockers", "are my dependencies compatible", "does Azure support my framework", "what needs to change before deploying", "check my app configuration"." license: MIT metadata: author: Microsoft version: "1.2.2"

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-onboard at Step 3, or standalone for code readiness checks. When called by orchestrator, return control to azure-app-onboard after 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 run npm 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.

  1. ⛔ Full pipeline (Steps 1–8), no exceptions. All prompts → Step 1 directly. Answer specific questions AS PART OF findings (Step 5), not before.
  2. ⛔ No sub-agents for evaluation. 3-axis evaluation is inline. Exception: zero-code-path scaffolding (Step 2).
  3. 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, write context.json + active-session.json via create tool.

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, then ask_user: "Redirect to Azure Cloud Migrate" (set routeToSkill: "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. Read readiness-gate.md (verdicts, tiers, batch-then-approve, fast-track) then 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. Run git rev-parse HEAD and store the full 40-character SHA as context.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 routeToSkill and routeReason to context.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) |

Related Skills

View on GitHub
GitHub Stars3.1k
CategoryOperations
Updated5d ago
Forks349

Languages

TypeScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions