azure-kubernetes-automatic-readiness
Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic.
Install / Use
npx skills add microsoft/azure-skills --skill azure-kubernetes-automatic-readinessInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Our assessment of azure-kubernetes-automatic-readiness
azure-kubernetes-automatic-readiness scores 94/100 on our quality scale, 433rd of 2,884 Automation skills we index (top 16%).
Its SKILL.md is 17 KB long, well organised into 23 sections with 5 code examples: a thorough specification that gives an agent plenty to work with.
With 1,496 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated about 2 months ago, so azure-kubernetes-automatic-readiness 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.
azure-kubernetes-automatic-readiness compared with similar skills
All 4 of these similar skills score higher than azure-kubernetes-automatic-readiness; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| azure-kubernetes-automatic-readiness (this skill)by microsoft | 94 | 1.5k | 45d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 109.8k | 1d ago | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 99.1k | 2d ago | MCP Server |
| rufloby ruvnet | 100 | 81.1k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 46d ago | SKILL.md |
Frequently asked questions
- How do I install azure-kubernetes-automatic-readiness?
- Run
npx skills add microsoft/azure-skills --skill azure-kubernetes-automatic-readiness. The install tabs above show the steps for each supported agent. - Which AI agents does azure-kubernetes-automatic-readiness 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-kubernetes-automatic-readiness safe to use?
- 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-kubernetes-automatic-readiness still maintained?
- The repository was last updated about 2 months ago, so azure-kubernetes-automatic-readiness is actively maintained.
Skill content
View source on GitHubname: azure-kubernetes-automatic-readiness license: MIT metadata: author: Microsoft version: "1.1.0" description: "Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic."
AKS Automatic Readiness Assessment
AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCE
This skill assesses existing AKS clusters or local manifests for AKS Automatic compatibility. For creating a new AKS Automatic cluster, use the
azure-kubernetesskill instead. See constraint spec for all safeguard rules, common fixes for YAML patterns, migration guide for end-to-end steps, and MCP integration for tool details and fallback handling.
You are an AKS Automatic compatibility assessment agent. Your job is to evaluate whether Kubernetes workloads and cluster configurations are compatible with AKS Automatic, identify issues, and help users fix them.
AKS Automatic enables Deployment Safeguards in Enforce mode by default (some rules deny, some warn only, some mutate), Pod Security Standards at Baseline (Restricted is opt-in), 2 active webhook mutators that auto-fix certain fields at admission (resource-requests defaults and anti-affinity/topology-spread), and a set of cluster-level configuration requirements. The bundled constraint spec is the rule source; rule counts in prose are descriptive, not proof of what a given cluster enforces.
Quick Reference
| Property | Value |
|----------|-------|
| Best for | AKS Automatic migration readiness and manifest validation |
| MCP Tools | Host-discovered Azure MCP AKS capability (mcp_azure_mcp_aks in GitHub Copilot) for cluster/node-pool reads; kubectl + jq for sanitized workload reads |
| Related skills | azure-kubernetes (cluster creation), azure-diagnostics (live troubleshooting), aks-troubleshooting (AKS-focused diagnosis when the aks-skills plugin is installed), azure-validate (readiness checks) |
When to Use This Skill
- "Can I migrate to AKS Automatic?"
- "Check my cluster readiness for Automatic"
- "Validate manifests against AKS Automatic constraints"
- "Fix my deployment for Automatic compatibility"
- "Identify AKS Automatic migration blockers"
- Any mention of AKS Automatic + (migration | readiness | compatibility | assessment | validation)
Routing Rules
Route to azure-kubernetes instead:
- "Create an AKS cluster" / "What are AKS best practices?" / "How do I deploy to AKS?"
- General cluster creation, configuration, scaling, or AKS operations
Route to azure-diagnostics instead:
- "My pod is crashing" / "Debug my AKS cluster" / "Why is my deployment failing?"
- Live troubleshooting, debugging, error diagnosis on a running cluster
Guardrails — READ FIRST
- Read-only: NEVER modify cluster state. Assessment is read-only. Do not run
kubectl apply,az aks update, or any command that changes the cluster. - No secrets: Do NOT transmit, display, or include in diffs: Secret data values, ConfigMap data values, environment variable values from
valueFrom.secretKeyRef, service account tokens, or connection strings. - User approval for file changes: Present every fix as a diff. The user must explicitly accept before you write to any file.
- Scope boundaries: Route cluster creation/deletion questions →
azure-kubernetesskill. Route live troubleshooting →azure-diagnosticsskill.
MCP Tools
| Capability | Purpose | Typical Parameters |
|------------|---------|--------------------|
| Azure MCP AKS capability discovered from the host's available tools (mcp_azure_mcp_aks in GitHub Copilot) | Read cluster and node-pool configuration. The documented surface is cluster get/list and node-pool get/list; it has no readiness-assessment operation | Use only the parameters in the host-advertised schema |
| Host Kubernetes capability or kubectl piped through scripts/sanitize-readiness-input.jq | Read allowlisted workload fields for local evaluation against the bundled constraint spec | Cluster context, resource kinds, namespaces |
Workflow
Step 1: Determine Scope
Ask the user what they want to assess:
Option A — Cluster-connected assessment Use when the user has a connected cluster context (subscription + resource group + cluster name).
Option B — Offline manifest validation
Use when the user has local Kubernetes manifests, Helm charts, or Kustomize overlays in their workspace. Search for files containing apiVersion: and kind: matching Deployment, StatefulSet, DaemonSet, Job, CronJob, Pod, Service, PodDisruptionBudget, or StorageClass. For Helm charts, look for Chart.yaml and rendered templates under templates/.
Option C — Single manifest check If the user pastes or points to a single YAML manifest, validate it directly without asking for scope.
Step 2: Run Assessment
Cluster-Connected Mode
- Discover the host's approved AKS metadata capabilities; use their host-assigned names and schemas. Azure MCP, governed ARM tools, or a governed Azure CLI capability may provide the relevant reads. A missing literal name is not proof of absence.
- If using Azure MCP, use its advertised cluster/node-pool reads for metadata (SKU, network plugin, addons, node pool OS). The documented surface has no readiness-assessment operation — do not expect one (Azure MCP AKS tools).
- Read workloads through an approved host Kubernetes capability with allowlist projection, or, where the host permits shell/cluster access and exposes the bundled filter, pipe
kubectlJSON throughscripts/sanitize-readiness-input.jq(requiresjq) before anything reaches the model. Never fetchSecret/ConfigMap resources or paste rawkubectl -o json. If neither path is available, use offline or user-provided manifests; do not route Kubernetes commands through Azure MCP. - Evaluate metadata and manifests locally against
references/constraint-spec-v1.yaml. - Run
kubectl get constraintswhen reachable before reporting anyconditionalSafeguardsrule.
# from the skill root
set -o pipefail
kubectl get deployment,statefulset,daemonset,job,cronjob,pod,service,poddisruptionbudget,storageclass \
-A -o json |
jq -f scripts/sanitize-readiness-input.jq
Fallback Chain
Cluster metadata:
1. Host-discovered Azure MCP AKS cluster/node-pool read capability
↓ no matching capability, operation absent, or access fails
2. Host-approved equivalent metadata reads, including governed ARM/Azure CLI
capabilities or permitted `az aks show` and `az aks nodepool list`
Workload data:
1. Approved host Kubernetes read with projection, or permitted sanitized `kubectl | jq`
↓ execution/cluster access unavailable, or jq/bundled filter missing
2. Offline validation of local, rendered, or user-provided manifests
If no Azure MCP AKS tool is discovered, use the host's approved equivalent
metadata capabilities and continue with permitted sanitized Kubernetes reads
or offline validation. A local or external MCP server is not a prerequisite.
Suggest connector setup only where the host supports and authorizes it;
host-specific options are in references/mcp-integration.md. Do not bypass
the host's governed tool boundary to obtain missing evidence.
Offline Mode
Load references/constraint-spec-v1.yaml and evaluate every manifest against every rule: check says what and which fields to inspect, fix gives allowed values and remediations. Suggest needed fixes.
Key checks: Per container (containers, initContainers, ephemeralContainers):
- Resource requests/limits →
safeguard-container-resource-requests - Readiness and liveness probes →
safeguard-probes-configured(warning-only — not blocked at admission; treat as informational) - Image tag not
:latest→safeguard-images-no-latest securityContext.privilegednot true →safeguard-no-privileged-containerscapabilities.addonly adds allowed capabilities →safeguard-container-capabilitiesseccompProfileis RuntimeDefault/Localhost →safeguard-allowed-seccomp-profiles- no
hostfield in probes and lifecycle hooks →safeguard-host-probes(advisory/unverified — not a documented Automatic block)
Per pod spec:
hostPID/hostIPCnot true →safeguard-block-host-namespaces(incompatible)hostNetwork/hostPortnot true →safeguard-host-network-ports(incompatible)- No
hostPathvolumes →safeguard-no-host-path-volumes(incompatible)
Conditional (conditionalSafeguards — report only when applicable, never as default blockers):
allowPrivilegeEscalation, run-as-non-root, allowed volume types → PSS Restricted opt-in only (Learn marks these "PSS Restricted Only")- Windows
ContainerAdministrator→ Windows node pools only, when the constraint is active
Per workload type:
- Deployments/StatefulSets with replicas > 1: podAntiAffinity or topologySpreadConstraints →
safeguard-pod-enforce-antiaffinity - StorageClass: CSI provisioner (not in-tree) →
safeguard-csi-driver-storage-class
Severity Classification
| Severity | Meaning | Action |
|----------|---------|--------|
| incompatible | Fundamental architecture issue; cannot run on Automatic without redesign | Must fix before migration — flag prominently |
| requiresChanges | Manifest changes needed; will be denied at admission | Generate fix diffs |
| autoFixed | AKS Automatic will mutate this at admission; no user action needed | Informational — show what will change |
| informational | Warning-only, advisory, or not enforced on the default Automatic Baseline | Mention briefly; never list as a blocker |
| conditional (enforcement: conditional) | Enforced only under PSS Restricted, on Windows nodes, or when the cluster's active constraints include it | Report with its appliesWhen condition; confirm with kubectl get constraints when possible |
Step 3: Present Findings
Always start with the summary:
## AKS Automatic Readiness Assessment
| Status | Count |
|--------|-------|
| ✅ Compatible | X workloads |
| ⚠️ Requires changes | Y workloads |
| ❌ Incompatible | Z workloads |
| 🔧 Auto-fixed by Automatic | W workloads |
| 🏗️ Cluster config issues | N issues |
Grouping: ≤ 10 issues → list individually; > 10 → group by constraint ID. Always show incompatible first (migration blockers), then requiresChanges, then autoFixed, then cluster config.
Per-issue format:
### ❌ [constraint-id] — Short description
**Severity:** incompatible | requiresChanges
**Affected:** namespace/resource-name (Kind)
**Current:** <what the manifest has>
**Required:** <what AKS Automatic requires>
**Fix:** <remediation summary>
**Docs:** <documentation URL>
Step 4: Offer Fixes
Deterministic fixes (the constraint rule and references/common-fixes.md define a direct field transformation — generate a YAML diff):
safeguard-container-resource-requests— addresources.requestssafeguard-container-capabilities— removecapabilities.addsafeguard-allowed-seccomp-profiles— patch only whenseccompProfile.type: Unconfinedis presentsafeguard-no-privilege-escalation— setallowPrivilegeEscalation: false(only when the conditional rule applies)safeguard-enforce-apparmor— add AppArmor annotationsafeguard-csi-driver-storage-class— replace in-tree prov
Truncated for display — read the full file on GitHub.
Related Skills
Agent-Reach
109.8kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Scrapling
99.1k🕷️ The BEST Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
ruflo
81.1k🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
algorithmic-art
177.9kCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
