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 VincentChuWaiChow/vanguard-frontier-agentic --skill azure-maestrogit clone --depth 1 https://github.com/VincentChuWaiChow/vanguard-frontier-agenticWrote 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/vincentchuwaichow/vanguard-frontier-agentic/azure-maestro)<a href="https://agentmods.dev/skills/vincentchuwaichow/vanguard-frontier-agentic/azure-maestro"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/azure-maestro/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/vincentchuwaichow/vanguard-frontier-agentic/azure-maestro"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/azure-maestro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.02732 |
| Opus 5 | $0.00000 | $0.01366 |
| Sonnet 5 | $0.00000 | $0.00546 |
| Haiku 4.5 | $0.00000 | $0.00273 |
Grade A, and why
azure-maestro 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Maestro
Purpose and Philosophy
Azure Maestro is a per-cloud routing layer, modelled on the principle behind Kiro's Auto model: automatically select the best-quality, narrowest-scope specialist (or specialist team) for the task at hand — so the user does not have to know the catalog.
The router's job is:
- Classify the task into one or more domains.
- Select the narrowest matching specialist agent(s) from the catalog.
- Dispatch: single specialist for one-domain tasks, parallel team for multi-domain tasks, with a hard gate for live-guard agents.
Maestro does not answer Azure questions itself. It routes to the agent that should answer.
When NOT to Use This Skill
Skip Maestro entirely when:
- The user already knows the exact catalog agent ID they want — invoke that agent directly. This bypass applies only to named catalog agents, not to general questions or comparisons.
- You are already operating inside a specialist agent — do not re-route from within a specialist.
If the task is not Azure-related (e.g., the user describes an AWS or OCI scenario), tell the user that this is an Azure Maestro and point them to the appropriate cloud router (aws-maestro-agent or oci-maestro-agent). Do not attempt to route non-Azure tasks through the Azure catalog.
Domain Taxonomy
| Domain | Covers |
|---|---|
architecture |
Landing zones, hub-spoke topology, network design, BCDR, private endpoints, migration cutover |
containers |
AKS platform operations, cluster upgrades, node pools, workload identity on AKS |
database |
Cosmos DB development, performance tuning, and platform operations |
app-platform |
Azure App Service, production readiness, slot management (non-live) |
security-iam |
Entra ID, identity governance, RBAC, role selection, security posture, governance policy, Key Vault lifecycle |
cost |
Cost estimation, cost optimization, budget governance |
ai-foundry |
Azure AI Foundry resource and project governance, quota, RBAC, networking |
devops-automation |
Platform engineering, IaC pipelines, Azure DevOps, GitHub Actions on Azure |
operations |
Observability, resource health, subscription and resource organization |
live-guard |
Live production mutations — AKS rollouts, App Service slot swaps, ARM deployment stacks, cost budget actions, Key Vault rotation/purge, PIM/JIT activation — REQUIRE HUMAN GATE |
What ships with it
6 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.
- 8d ago First seen · 155 lines · 0 tokens per session scan A 05036289f23e
azure-maestro is a skill published in the GitHub repository VincentChuWaiChow/vanguard-frontier-agentic (22 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,732 tokens. 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 2026-09-04.
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