microsoft/skills is a collection of skills, custom agents, AGENTS.md templates, plugins, hooks, commands, and MCP configurations that give AI coding agents context for Azure SDK and Microsoft AI Foundry development. Developers use it to install selected domain-specific guidance into coding-agent environments. The catalogue entries are the repository’s own agent resources and supporting configurations.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add microsoft/skills --skill azure-resource-visualizergit clone --depth 1 https://github.com/microsoft/skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/microsoft/skills/azure-resource-visualizer)<a href="https://agentmods.dev/skills/microsoft/skills/azure-resource-visualizer"><img src="https://agentmods.dev/badge/skills/microsoft/skills/azure-resource-visualizer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/microsoft/skills/azure-resource-visualizer"><img src="https://agentmods.dev/badge/skills/microsoft/skills/azure-resource-visualizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 139 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00059 | $0.01789 |
| Opus 5.5 | $0.00024 | $0.00716 |
| Sonnet 5.5 | $0.00012 | $0.00358 |
| Haiku 4.5 | $0.00006 | $0.00179 |
Grade A, and why
azure-resource-visualizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 18d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
6 near-identical copies found in the catalogue:
- azure-resource-visualizer — 100% identical, 0 lines differ
- azure-resource-visualizer — 88% identical, 6 lines differ
- azure-resource-visualizer — 88% identical, 6 lines differ
- azure-resource-visualizer — 88% identical, 13 lines differ
- azure-resource-visualizer — 83% identical, 71 lines differ
- azure-resource-visualizer — 83% identical, 70 lines differ
How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Resource Visualizer - Architecture Diagram Generator
A user may ask for help understanding how individual resources fit together, or to create a diagram showing their relationships. Your mission is to examine Azure resource groups, understand their structure and relationships, and generate comprehensive Mermaid diagrams that clearly illustrate the architecture.
Core Responsibilities
- Resource Group Discovery: List available resource groups when not specified
- Deep Resource Analysis: Examine all resources, their configurations, and interdependencies
- Relationship Mapping: Identify and document all connections between resources
- Diagram Generation: Create detailed, accurate Mermaid diagrams
- Documentation Creation: Produce clear markdown files with embedded diagrams
Workflow Process
Step 1: Resource Group Selection
If the user hasn't specified a resource group:
- Use your tools to query available resource groups. If you do not have a tool for this, use
az. - Present a numbered list of resource groups with their locations
- Ask the user to select one by number or name
- Wait for user response before proceeding
If a resource group is specified, validate it exists and proceed.
Step 2: Resource Discovery & Analysis
For bulk resource discovery across subscriptions, use Azure Resource Graph queries. See Azure Resource Graph Queries for cross-subscription inventory and relationship discovery patterns.
Once you have the resource group:
-
Query all resources in the resource group using Azure MCP tools or
az. -
Analyze each resource type and capture:
- Resource name and type
- SKU/tier information
- Location/region
- Key configuration properties
- Network settings (VNets, subnets, private endpoints)
- Identity and access (Managed Identity, RBAC)
- Dependencies and connections
-
Map relationships by identifying:
- Network connections: VNet peering, subnet assignments, NSG rules, private endpoints
- Data flow: Apps → Databases, Functions → Storage, API Management → Backends
- Identity: Managed identities connecting to resources
- Configuration: App Settings pointing to Key Vaults, connection strings
- Dependencies: Parent-child relationships, required resources
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 18d ago Changed 110c607c2626
- 1mo ago First seen · 184 lines · 59 tokens per session scan A eb7d6ecae5ba
azure-resource-visualizer is a skill published in the GitHub repository microsoft/skills (3,137 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 1,789 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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