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 alexpizarro/azure-lean-stack-skills --skill scaffolding-multi-tenant-azure-appsgit clone --depth 1 https://github.com/alexpizarro/azure-lean-stack-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/alexpizarro/azure-lean-stack-skills/scaffolding-multi-tenant-azure-apps)<a href="https://agentmods.dev/skills/alexpizarro/azure-lean-stack-skills/scaffolding-multi-tenant-azure-apps"><img src="https://agentmods.dev/badge/skills/alexpizarro/azure-lean-stack-skills/scaffolding-multi-tenant-azure-apps/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/alexpizarro/azure-lean-stack-skills/scaffolding-multi-tenant-azure-apps"><img src="https://agentmods.dev/badge/skills/alexpizarro/azure-lean-stack-skills/scaffolding-multi-tenant-azure-apps.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00124 | $0.01633 |
| Opus 5 | $0.00062 | $0.00816 |
| Sonnet 5 | $0.00025 | $0.00327 |
| Haiku 4.5 | $0.00012 | $0.00163 |
Grade A, and why
scaffolding-multi-tenant-azure-apps 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 12d 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scaffolding Multi-Tenant Azure Apps
Multi-tenant pattern with one resource group per tenant on a shared subscription. One tenant parameter drives the RG and every resource name. Adding a tenant = redeploy with a new param value.
When to use this pattern
| Need | This skill |
|---|---|
| One product, multiple isolated customers (schools, clinics, agencies) | Yes |
| Per-tenant DB, per-tenant storage, per-tenant ACA | Yes |
| Multi-tenant SaaS where customers share a single DB | No — that's row-level multi-tenancy, not infra-level |
| Different products for different customers | No — use per-product subscriptions instead |
Workflow checklist
Copy this checklist and tick items off:
Onboarding a new tenant:
- [ ] Step 1: Agree on the tenant slug (kebab-case, ≤20 chars, no Azure reserved words)
- [ ] Step 2: Verify the derived storage account name fits (≤24 chars, alphanumeric) — provide override if not
- [ ] Step 3: Copy infra/environments/prod.parameters.json → infra/environments/{tenant}.parameters.json
- [ ] Step 4: Edit tenant slug + storageAccountName override if needed
- [ ] Step 5: Create a new branch for this tenant if using branch-per-tenant (recommended for full isolation)
- [ ] Step 6: Add OIDC SP + federated credential bound to the new branch (skill: configuring-azure-oidc-for-github-actions)
- [ ] Step 7: Generate per-tenant SQL password + add as GitHub secret
- [ ] Step 8: Push to the tenant branch → workflow provisions the isolated stack
- [ ] Step 9: Verify per-tenant cost reporting: `az resource list --tag tenant=$SLUG -o table`
The core idea
main.bicep accepts a tenant param. Default value matches your original (single-tenant) naming so the first deployment doesn't need to migrate anything:
@description('Tenant slug — drives all resource names + the RG.')
param tenant string = 'acme-default'
// Storage account name can\'t have hyphens, ≤24 chars. Provide an override
// for tenants whose slug doesn\'t yield a valid storage name.
@description('Storage account name override (no hyphens, ≤24 chars). Empty = derive from tenant.')
param storageAccountName string = ''
module rg 'modules/resourceGroup.bicep' = {
name: 'deploy-rg-${environment}'
params: { name: '${tenant}-rg-${environment}' }
}
module storage 'modules/storage.bicep' = {
scope: resourceGroup('${tenant}-rg-${environment}')
params: {
name: empty(storageAccountName) ? toLower(replace('${tenant}store', '-', '')) : storageAccountName
}
}
// ... every other module follows the same pattern
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.
- 12d ago First seen · 153 lines · 124 tokens per session scan A f24a35df7b89
scaffolding-multi-tenant-azure-apps is a skill published in the GitHub repository alexpizarro/azure-lean-stack-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 124 tokens to every session and 1,633 once invoked, about $0.0006 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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