Creator · microsoft
Last updated · Sep 6, 2026
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
Creator · microsoft
Last updated · Sep 6, 2026
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
Creator · microsoft
Last updated · Sep 6, 2026
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
Creator · microsoft
Last updated · Sep 6, 2026
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
Sandbox only
Install targets
Codex install prompt
Install the "azure-app-onboard-prereq" agent skill from https://github.com/microsoft/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/azure-app-onboard-prereq. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"microsoft-azure-app-onboard-prereq","task":"Install azure-app-onboard-prereq","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereq
Maintenance
fresh
1d since push
Risk
Risky
Dependency or permission surface needs review
GitHub quality
249
71/100 Quality · 76/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
RiskyA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
249 GitHub stars
Repo activity
249 stars, 201 forks
Maintenance
1d since push
License
MIT
Install
npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereq
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereqDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20azure-app-onboard-prereq%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20azure-app-onboard-prereq%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/microsoft-azure-app-onboard-prereq/install
Agent should check
Copy prompt
Task: Use azure-app-onboard-prereq in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20azure-app-onboard-prereq%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/microsoft-azure-app-onboard-prereq/install
Install command: npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereq
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/microsoft-azure-app-onboard-prereq/install
LLM text format
/api/skills/microsoft-azure-app-onboard-prereq/install?format=text
Find alternatives
/api/skills/search?q=azure-app-onboard-prereq&limit=3
Agent prompt
Use azure-app-onboard-prereq for this task. Review https://www.openagentskill.com/api/skills/microsoft-azure-app-onboard-prereq/install, then install with: npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereqRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/microsoft-azure-app-onboard-prereq
LLM text
/api/registry/manifest/microsoft-azure-app-onboard-prereq?format=text
Install alias
/api/registry/install/microsoft-azure-app-onboard-prereq
Recommend
/api/registry/recommend?task=Use%20azure-app-onboard-prereq%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO249 GitHub stars
Stars/forks activity
INFO249 stars, 201 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- 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: "0.0.0-placeholder" ---
# 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`](references/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](references/remediation-protocol.md) step 6), or (b) code the agent **wrote** from scratch on the zero-code path (see [zero-code-path.md](references/zero-code-path.md)). In either case, install/build/test runs ONLY via the user-confirmed build-validation gate ([build-check.md](references/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](references/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](references/component-mapping.md)); no code → [zero-code-path.md](references/zero-code-path.md).
> If no project files, no Dockerfile, AND no index.html → ⛔ read [zero-code-path.md](references/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](references/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](references/build-check.md)** | | 3.2 | **Completeness check** | ⛔ **You MUST read [completeness-check.md](references/completeness-check.md)** | | 3.3 | **Deployability check** | ⛔ **You MUST read [deployability-check.md](references/deployability-check.md)** | | 3.3a | **Component mapping** (conditional) | Read [component-mapping.md](references/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](references/readiness-gate.md) and the individual check references.
### Step 4: Write Artifacts + Readiness Gate
⛔ Verify `context.json` exists on disk. Read [readiness-gate.md](references/readiness-gate.md) (verdicts, tiers, batch-then-approve, fast-track) then [prereq-artifacts.md](references/prereq-artifacts.md) (write procedures, schemas).
### Step 5: Present Findings
Per [readiness-gate.md § Present Findings](references/readiness-gate.md) — show verdicts grouped by severity before proceeding.
### Step 6: Remediation (conditional)
⛔ **You MUST read [remediation-protocol.md](references/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](references/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) |
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for azure-app-onboard-prereq, ready for a manual X post.
azure-app-onboard-prereq: Assess whether source code is ready to deploy to Azure — the check BEFORE infrastructure work... 249 stars https://www.openagentskill.com/skills/microsoft-azure-app-onboard-prereq?ref=x
Listing + install path for azure-app-onboard-prereq: https://www.openagentskill.com/skills/microsoft-azure-app-onboard-prereq?ref=x Install: npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereq
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
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Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
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61.0K StarsAcademic Research Skills
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Install targets
Codex install prompt
Install the "azure-app-onboard-prereq" agent skill from https://github.com/microsoft/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/azure-app-onboard-prereq. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"microsoft-azure-app-onboard-prereq","task":"Install azure-app-onboard-prereq","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereq
Maintenance
fresh
1d since push
Risk
Risky
Dependency or permission surface needs review
GitHub quality
249
71/100 Quality · 76/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
RiskyA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
249 GitHub stars
Repo activity
249 stars, 201 forks
Maintenance
1d since push
License
MIT
Install
npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereq
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereqDo not use when
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Alternative
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Alternative
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npx skills add Imbad0202/academic-research-skills
Alternative
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npx skills add assafelovic/gpt-researcher
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20azure-app-onboard-prereq%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20azure-app-onboard-prereq%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/microsoft-azure-app-onboard-prereq/install
Agent should check
Copy prompt
Task: Use azure-app-onboard-prereq in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20azure-app-onboard-prereq%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/microsoft-azure-app-onboard-prereq/install
Install command: npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereq
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Use azure-app-onboard-prereq for this task. Review https://www.openagentskill.com/api/skills/microsoft-azure-app-onboard-prereq/install, then install with: npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereqRegistry metadata
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Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
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Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO249 GitHub stars
Stars/forks activity
INFO249 stars, 201 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- 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: "0.0.0-placeholder" ---
# 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`](references/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](references/remediation-protocol.md) step 6), or (b) code the agent **wrote** from scratch on the zero-code path (see [zero-code-path.md](references/zero-code-path.md)). In either case, install/build/test runs ONLY via the user-confirmed build-validation gate ([build-check.md](references/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](references/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](references/component-mapping.md)); no code → [zero-code-path.md](references/zero-code-path.md).
> If no project files, no Dockerfile, AND no index.html → ⛔ read [zero-code-path.md](references/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](references/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](references/build-check.md)** | | 3.2 | **Completeness check** | ⛔ **You MUST read [completeness-check.md](references/completeness-check.md)** | | 3.3 | **Deployability check** | ⛔ **You MUST read [deployability-check.md](references/deployability-check.md)** | | 3.3a | **Component mapping** (conditional) | Read [component-mapping.md](references/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](references/readiness-gate.md) and the individual check references.
### Step 4: Write Artifacts + Readiness Gate
⛔ Verify `context.json` exists on disk. Read [readiness-gate.md](references/readiness-gate.md) (verdicts, tiers, batch-then-approve, fast-track) then [prereq-artifacts.md](references/prereq-artifacts.md) (write procedures, schemas).
### Step 5: Present Findings
Per [readiness-gate.md § Present Findings](references/readiness-gate.md) — show verdicts grouped by severity before proceeding.
### Step 6: Remediation (conditional)
⛔ **You MUST read [remediation-protocol.md](references/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](references/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) |
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for azure-app-onboard-prereq, ready for a manual X post.
azure-app-onboard-prereq: Assess whether source code is ready to deploy to Azure — the check BEFORE infrastructure work... 249 stars https://www.openagentskill.com/skills/microsoft-azure-app-onboard-prereq?ref=x
Listing + install path for azure-app-onboard-prereq: https://www.openagentskill.com/skills/microsoft-azure-app-onboard-prereq?ref=x Install: npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereq
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mono-color
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Install targets
Codex install prompt
Install the "azure-app-onboard-prereq" agent skill from https://github.com/microsoft/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/azure-app-onboard-prereq. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"microsoft-azure-app-onboard-prereq","task":"Install azure-app-onboard-prereq","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereq
Maintenance
fresh
1d since push
Risk
Risky
Dependency or permission surface needs review
GitHub quality
249
71/100 Quality · 76/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
RiskyA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
249 GitHub stars
Repo activity
249 stars, 201 forks
Maintenance
1d since push
License
MIT
Install
npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereq
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereqDo not use when
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npx skills add mvanhorn/last30days-skill -g
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38.4K Stars
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Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
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Agent should check
Copy prompt
Task: Use azure-app-onboard-prereq in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20azure-app-onboard-prereq%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/microsoft-azure-app-onboard-prereq/install
Install command: npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereq
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Agent prompt
Use azure-app-onboard-prereq for this task. Review https://www.openagentskill.com/api/skills/microsoft-azure-app-onboard-prereq/install, then install with: npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereqRegistry metadata
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Manifest
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LLM text
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Recommend
/api/registry/recommend?task=Use%20azure-app-onboard-prereq%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO249 GitHub stars
Stars/forks activity
INFO249 stars, 201 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- 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: "0.0.0-placeholder" ---
# 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`](references/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](references/remediation-protocol.md) step 6), or (b) code the agent **wrote** from scratch on the zero-code path (see [zero-code-path.md](references/zero-code-path.md)). In either case, install/build/test runs ONLY via the user-confirmed build-validation gate ([build-check.md](references/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](references/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](references/component-mapping.md)); no code → [zero-code-path.md](references/zero-code-path.md).
> If no project files, no Dockerfile, AND no index.html → ⛔ read [zero-code-path.md](references/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](references/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](references/build-check.md)** | | 3.2 | **Completeness check** | ⛔ **You MUST read [completeness-check.md](references/completeness-check.md)** | | 3.3 | **Deployability check** | ⛔ **You MUST read [deployability-check.md](references/deployability-check.md)** | | 3.3a | **Component mapping** (conditional) | Read [component-mapping.md](references/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](references/readiness-gate.md) and the individual check references.
### Step 4: Write Artifacts + Readiness Gate
⛔ Verify `context.json` exists on disk. Read [readiness-gate.md](references/readiness-gate.md) (verdicts, tiers, batch-then-approve, fast-track) then [prereq-artifacts.md](references/prereq-artifacts.md) (write procedures, schemas).
### Step 5: Present Findings
Per [readiness-gate.md § Present Findings](references/readiness-gate.md) — show verdicts grouped by severity before proceeding.
### Step 6: Remediation (conditional)
⛔ **You MUST read [remediation-protocol.md](references/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](references/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) |
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for azure-app-onboard-prereq, ready for a manual X post.
azure-app-onboard-prereq: Assess whether source code is ready to deploy to Azure — the check BEFORE infrastructure work... 249 stars https://www.openagentskill.com/skills/microsoft-azure-app-onboard-prereq?ref=x
Listing + install path for azure-app-onboard-prereq: https://www.openagentskill.com/skills/microsoft-azure-app-onboard-prereq?ref=x Install: npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereq
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This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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mono-color
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Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "azure-app-onboard-prereq" agent skill from https://github.com/microsoft/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/azure-app-onboard-prereq. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"microsoft-azure-app-onboard-prereq","task":"Install azure-app-onboard-prereq","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereq
Maintenance
fresh
1d since push
Risk
Risky
Dependency or permission surface needs review
GitHub quality
249
71/100 Quality · 76/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
RiskyA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
249 GitHub stars
Repo activity
249 stars, 201 forks
Maintenance
1d since push
License
MIT
Install
npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereq
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereqDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20azure-app-onboard-prereq%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20azure-app-onboard-prereq%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/microsoft-azure-app-onboard-prereq/install
Agent should check
Copy prompt
Task: Use azure-app-onboard-prereq in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20azure-app-onboard-prereq%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/microsoft-azure-app-onboard-prereq/install
Install command: npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereq
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/microsoft-azure-app-onboard-prereq/install
LLM text format
/api/skills/microsoft-azure-app-onboard-prereq/install?format=text
Find alternatives
/api/skills/search?q=azure-app-onboard-prereq&limit=3
Agent prompt
Use azure-app-onboard-prereq for this task. Review https://www.openagentskill.com/api/skills/microsoft-azure-app-onboard-prereq/install, then install with: npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereqRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/microsoft-azure-app-onboard-prereq
LLM text
/api/registry/manifest/microsoft-azure-app-onboard-prereq?format=text
Install alias
/api/registry/install/microsoft-azure-app-onboard-prereq
Recommend
/api/registry/recommend?task=Use%20azure-app-onboard-prereq%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO249 GitHub stars
Stars/forks activity
INFO249 stars, 201 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- 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: "0.0.0-placeholder" ---
# 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`](references/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](references/remediation-protocol.md) step 6), or (b) code the agent **wrote** from scratch on the zero-code path (see [zero-code-path.md](references/zero-code-path.md)). In either case, install/build/test runs ONLY via the user-confirmed build-validation gate ([build-check.md](references/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](references/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](references/component-mapping.md)); no code → [zero-code-path.md](references/zero-code-path.md).
> If no project files, no Dockerfile, AND no index.html → ⛔ read [zero-code-path.md](references/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](references/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](references/build-check.md)** | | 3.2 | **Completeness check** | ⛔ **You MUST read [completeness-check.md](references/completeness-check.md)** | | 3.3 | **Deployability check** | ⛔ **You MUST read [deployability-check.md](references/deployability-check.md)** | | 3.3a | **Component mapping** (conditional) | Read [component-mapping.md](references/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](references/readiness-gate.md) and the individual check references.
### Step 4: Write Artifacts + Readiness Gate
⛔ Verify `context.json` exists on disk. Read [readiness-gate.md](references/readiness-gate.md) (verdicts, tiers, batch-then-approve, fast-track) then [prereq-artifacts.md](references/prereq-artifacts.md) (write procedures, schemas).
### Step 5: Present Findings
Per [readiness-gate.md § Present Findings](references/readiness-gate.md) — show verdicts grouped by severity before proceeding.
### Step 6: Remediation (conditional)
⛔ **You MUST read [remediation-protocol.md](references/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](references/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) |
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
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Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
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Growth loop
Scenario-led draft for azure-app-onboard-prereq, ready for a manual X post.
azure-app-onboard-prereq: Assess whether source code is ready to deploy to Azure — the check BEFORE infrastructure work... 249 stars https://www.openagentskill.com/skills/microsoft-azure-app-onboard-prereq?ref=x
Listing + install path for azure-app-onboard-prereq: https://www.openagentskill.com/skills/microsoft-azure-app-onboard-prereq?ref=x Install: npx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-app-onboard-prereq
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mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
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28.0K StarsPermission surface
shell or command execution, filesystem or document access
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Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
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Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness