Assess and improve Azure PaaS app reliability, availability, and disaster recovery readiness.
Overall risk is low. This is an open-source, prompt-only Azure operations skill that does not require extra secrets or custom remote endpoints; the main consideration is that it can drive Azure CLI-based queries and changes under the user's existing Azure login context.
No additional secrets or environment variables are declared. Authentication relies on the user's existing `az login` session rather than any built-in credential collection by the skill. The main risk comes from the existing Azure permissions, not from new credential exposure introduced by this skill.
The README explicitly uses Azure Resource Graph and Azure CLI to query and configure cloud resources, meaning resource metadata and configuration requests are sent to Azure's official control plane. No custom third-party endpoints are declared, but normal cloud-management egress of subscription/resource information to Azure still occurs.
The materials show that the skill generates and drives `az` CLI commands and may require installing the `resource-graph` extension; this is local command-execution capability. The documentation mentions user confirmation before changes, and no system permissions beyond the stated purpose are evident.
Its access scope includes subscriptions, resource groups, and Azure resource configurations related to App Service/Functions for reliability assessment and remediation. Reader is needed for assessment and Contributor for changes; this scope is broadly aligned with the function, but a high-privilege Azure session could modify cloud resource configurations.
The source is an open-source Microsoft GitHub repository, which provides good auditability, and the 222-star community signal lowers supply-chain risk. Still, the license is not declared, maintenance status is unknown, and the README snippet is truncated, so dependencies and update posture cannot be fully assessed from the provided materials alone.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "azure-reliability" skill from askskill: 1. Download https://raw.githubusercontent.com/microsoft/GitHub-Copilot-for-Azure/main/plugin/skills/azure-reliability/SKILL.md 2. Save it as ~/.claude/skills/azure-reliability/SKILL.md 3. Reload skills and tell me it's ready
Assess the reliability of this Azure App Service and Azure Functions environment. Check zone redundancy, ZRS storage, health probes, and multi-region failover, then list single points of failure and remediation recommendations.
A feature-pivoted reliability checklist with risk findings, impact explanations, and prioritized remediation recommendations.
Based on the current scan results, create a staged reliability improvement plan for my Azure PaaS apps. Start with low-risk changes, then higher-impact architectural changes, and include CLI or IaC patch suggestions for each step.
An actionable staged remediation plan with implementation order, change methods, confirmation points, and expected benefits.
Check whether my Azure Functions and App Service have multi-region failover capability, and evaluate whether the current disaster recovery design has any regional single points of failure. If issues exist, provide specific remediation steps.
A disaster recovery readiness assessment describing failover gaps, risk sources, and corresponding remediation steps.
| Property | Details |
|---|---|
| Best for | Reliability posture assessment, zone redundancy enablement, multi-region failover setup |
| Primary capabilities | Reliability assessment table, Zone Redundancy Configuration, Multi-Region IaC Generation |
| Supported services | Azure Functions, App Service (Container Apps planned for a future version) |
| MCP tools | Azure Resource Graph queries, Azure CLI commands |
Activate this skill when user wants to:
Scope note: This skill currently covers Azure Functions and Azure App Service only. If the user asks about Azure Container Apps reliability, acknowledge that support is planned but not yet available, and only proceed with the parts that apply to App Service and Functions resources in scope.
az loginaz extension add --name resource-graph| Tool | Purpose |
|---|---|
mcp_azure_mcp_extension_cli_generate | Generate az CLI commands for resource queries and configuration |
mcp_azure_mcp_subscription_list | List available subscriptions |
mcp_azure_mcp_group_list | List resource groups |
Primary query method: Azure Resource Graph via az graph query (requires az extension add --name resource-graph).
Important: Always scope queries to the user's specified resource group or subscription. Add these filters to every Resource Graph query:
| where resourceGroup =~ '<rg-name>'--subscriptions <sub-id> flag on az graph query| where name =~ '<app-name>'Two-step assessment: platform-level discovery first, then per-service deep dive.
Step 1 — Platform discovery (find what's there). Use these to enumerate resources in scope and detect cross-cutting reliability gaps:
| Platform check | Reference |
|---|---|
| Zone redundancy — discovery | references/zone-redundancy-checks.md |
| Storage redundancy (cross-service) | references/storage-redundancy-checks.md |
| Multi-region & global load balancers | references/multi-region-checks.md |
| Front Door / Traffic Manager / App Insights probes | references/health-probe-checks.md |
…
Analyze and compress Markdown to reduce tokens and improve AI efficiency.
Write, review, and standardize Agent Skills to match agentskills.io requirements.
Discover Azure OpenAI capacity, quotas, and best regions for deployment.
Create, validate, and run eval.yaml suites for agent skill evaluation.
Query and analyze logs, telemetry, and time-series data in Azure Data Explorer.
Assess AKS Automatic readiness and generate fixes for migration blockers.
Safely diagnose Azure production issues across apps, containers, and messaging services.
Assess Azure security, analyze attack paths, and generate compliance audit reports.
Validate Azure deployment readiness across config, infrastructure, identities, and permissions.
Assess and migrate cross-cloud workloads to Azure with reports and code conversion.
Give AI real-time Azure infrastructure access for ops checks, policy validation, and Terraform analysis.
Choose and manage Azure VMs/VMSS with troubleshooting, autoscale, and capacity planning.