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 agentmods add skills/agenticpawan/fullstack-pilot/azure-landing-zonenpx skills add AgenticPawan/FullStack-Pilot --skill azure-landing-zonegit clone --depth 1 https://github.com/AgenticPawan/FullStack-PilotWrote 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/agenticpawan/fullstack-pilot/azure-landing-zone)<a href="https://agentmods.dev/skills/agenticpawan/fullstack-pilot/azure-landing-zone"><img src="https://agentmods.dev/badge/skills/agenticpawan/fullstack-pilot/azure-landing-zone.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00095 | $0.01419 |
| Opus 5 | $0.00048 | $0.00709 |
| Sonnet 5 | $0.00019 | $0.00284 |
| Haiku 4.5 | $0.00010 | $0.00142 |
Grade A, and why
azure-landing-zone 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 5d 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Standard IDs
| ID | Severity | What it checks |
|---|---|---|
| LZ-001 | P1 | No management-group hierarchy separating platform from landing-zone subscriptions |
| LZ-002 | P0 | Single subscription hosts both production and non-production workloads |
| LZ-003 | P1 | No Azure Policy initiative assigned at the management-group level for tenant-wide guardrails |
| LZ-004 | P2 | No documented subscription-vending process for onboarding new workload teams |
azure-caf-naming governs how an individual resource is named; this skill governs the
subscription/management-group topology those resources live inside — a shop with
pristine resource naming can still have zero isolation between prod and dev subscriptions.
Check A — No management-group hierarchy (LZ-001)
Detection
Check the tenant's management-group structure for a hierarchy separating platform concerns (connectivity, identity, management) from landing-zone (workload) subscriptions — the Cloud Adoption Framework's enterprise-scale reference architecture. A flat structure with every subscription directly under the tenant root means there's no natural place to apply a policy/RBAC boundary that differs between "platform" and "workload" subscriptions.
BAD — flat structure, every subscription under the tenant root with no grouping
Tenant Root
├── sub-orders-prod
├── sub-orders-dev
├── sub-invoicing-prod
├── sub-shared-connectivity
<!-- No management groups — no natural place to apply differentiated policy by function. -->
GOOD — a management-group hierarchy separating platform from landing zones
Tenant Root
├── mg-platform
│ ├── mg-connectivity (sub-hub-network)
│ ├── mg-identity (sub-identity)
│ └── mg-management (sub-log-analytics, sub-automation)
└── mg-landing-zones
├── mg-corp (sub-orders-prod, sub-invoicing-prod)
└── mg-online (sub-public-api-prod)
Check B — Single subscription hosts prod and non-prod (LZ-002)
Detection
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.
- 5d ago First seen · 156 lines · 95 tokens per session scan A 20b86bf43287
azure-landing-zone is a skill published in the GitHub repository AgenticPawan/FullStack-Pilot (2 stars, last pushed 1mo ago), licensed MIT. It adds 95 tokens to every session and 1,419 once invoked, about $0.0005 per session on Opus 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 2026-08-31.
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