by zmustafa
AI-driven Azure operations workbench. Chat with your tenant, investigate incidents with a team of specialist AI agents, and assess, monitor & remediate your cloud — runs in your own subscription. One-click deploy.
# Add to your Claude Code skills
git clone https://github.com/zmustafa/AzureSupportAgentGuides for using ai agents skills like AzureSupportAgent.
Last scanned: 6/22/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-06-22T09:52:03.656Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}AzureSupportAgent is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by zmustafa. AI-driven Azure operations workbench. Chat with your tenant, investigate incidents with a team of specialist AI agents, and assess, monitor & remediate your cloud — runs in your own subscription. One-click deploy. It has 52 GitHub stars.
Yes. AzureSupportAgent passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/zmustafa/AzureSupportAgent" and add it to your Claude Code skills directory (see the Installation section above).
AzureSupportAgent is primarily written in Python. It is open-source under zmustafa on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh AzureSupportAgent against similar tools.
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An AI-driven Azure operations workbench that runs in your subscription. Point it at your tenant and AI discovers your workloads, reverse-engineers live architecture diagrams, and runs Well-Architected assessments — then a War Room of specialist agents helps you investigate, monitor, and remediate.
Deploy · Install guide · Features · Screenshots · Quick start · Architecture · Docs
🆕 Latest (v54): a Workloads cockpit (health scores, fleet board, per-workload command center, Autopilot discovery), an Estate Graph knowledge map, and Ownership, Tag Intelligence & Change Explorer — all under a new Proactive Support hub.

Operating Azure at scale means hopping between the Portal, CLI, Resource Graph, Monitor, Advisor, and a dozen blades just to answer one question. Azure Support Agent puts an LLM in the driver's seat — it talks to your subscription through the official Azure MCP server and a Microsoft Graph (Entra ID) MCP server, reasons over live evidence, and turns "why is the website throwing 5xx?" into a ranked, validated answer — with the diagrams, assessments, and dashboards to back it up. And it doesn't just wait to be asked: a whole Proactive Support suite continuously scans your estate for coverage gaps and looming retirements, while scheduled autonomous agents push findings to Teams, Jira, or ServiceNow before they bite.
Built for cloud architects, SREs, platform teams, and Azure support engineers.
Multi-session chat with isolated context, live SSE streaming, a per-message reasoning + tool-call timeline that persists across reloads, image support, and smart starter suggestions. Cancel a running turn anytime — work continues server-side and is saved.
Toggle deep mode to dispatch specialist agents (Networking, Identity, Compute, Storage, Security, Reliability, Cost, Monitoring) that research in parallel, form hypotheses, and validate them against your live Azure data — then converge on a conclusion.
Discover and group resources into workloads, then work a fleet cockpit with composite health scores, a resource taxonomy, table/board views, and rich visualizations (donut, radar, sparkline, treemap). Drill into a per-workload command center, or let Autopilot AI-discover and propose workloads for you.
Run every analysis against a workload from one cockpit — architecture, assessment, coverage, identity and more — and read a single go/no-go posture with the highest-risk items surfaced first.
AI reverse-engineers live resources into interactive diagrams with best-practice review, network boundaries, and cost hints. Save revisions, build collections, and keep persistent Architecture Memory that powers dashboards and investigations.
A live, workload-aware knowledge graph of your tenant with cost, retirement and RBAC overlays — pan, zoom, search, and deep-link straight into the workload, architecture or assessment behind any node.
A federated owner directory scoped by tenant, subscription or workload. Export owners, import any CSV/Excel with AI column-inference and a preview, then apply as Azure tags with snapshots and safe revert.
A tag census with coverage, casing-drift detection and a natural-language → Azure Resource Graph console. Propose, apply and revert tag changes with full revision history.
See what changed, when, and who did it across your estate — each change AI-categorized and risk-scored, with plain-English insights that float the highest-risk changes to the top for review.
Run Well-Architected-style assessments across Security, Reliability, Cost, Operations, and Performance pillars — with custom controls, framework mappings (NIST, ISO, CIS), waivers, finding lifecycle, and ticketing. Plus Policy compliance, baselines, and AI advisors.
Monitor 2.0 customizable dashboards with AI authoring and ping history; AMBA baseline-alert coverage with one-click Bicep/Terraform gap remediation; Performance Profiler, Backup/DR coverage, Retirement Radar, and telemetry intelligence.
Build custom sub-agents with scoped tools, schedule recurring tasks, chain Workbooks into Playbooks, and route results through in-app Notifications and external connectors (Jira, ServiceNow).
One categorized landing page that unifies every posture & forensic dashboard — coverage, assessments, identity, ownership, tagging, change forensics and the estate graph — so nothing about your estate is more than a click away.
A dozen+ providers — OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, GitHub Copilot/Models, Grok, Mistral, OpenRouter, ChatGPT (OAuth), Claude OAuth (Pro/Max, incl. Opus 4.8), Ollama, LM Studio — switchable at runtime with live model catalogs. Disabled until you set them up.
🔐 Read-only Azure by default · ✅ approval-gated writes · 🧾 full audit log · 👥 RBAC (users / roles / groups) · 🔑 OIDC + SAML SSO · 🗝️ encrypted connection credentials · 🖥️ Sandbox VMs for private-endpoint diagnostics · 🧩 multi-tenant Azure connections.