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 applying-azure-cost-guardrailsgit 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/applying-azure-cost-guardrails)<a href="https://agentmods.dev/skills/alexpizarro/azure-lean-stack-skills/applying-azure-cost-guardrails"><img src="https://agentmods.dev/badge/skills/alexpizarro/azure-lean-stack-skills/applying-azure-cost-guardrails/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/applying-azure-cost-guardrails"><img src="https://agentmods.dev/badge/skills/alexpizarro/azure-lean-stack-skills/applying-azure-cost-guardrails.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 | $0.00123 | $0.04100 |
| Opus 5 | $0.00062 | $0.02050 |
| Sonnet 5 | $0.00025 | $0.00820 |
| Haiku 4.5 | $0.00012 | $0.00410 |
Grade A, and why
applying-azure-cost-guardrails scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`az containerapp update` against a retired app (or `curl`s its `/health` to "verify the How it starts
The opening of the file, as written. The whole thing — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Applying Azure Cost Guardrails
Consumption-first design defaults + a script that audits existing Bicep for cost regressions. This skill is preventive — for live cost analysis of a running deployment, compose with Microsoft's azure-cost skill.
The canonical guardrails
Every project scaffolded by this plugin inherits these defaults. Verify them when auditing.
1. SWA Free tier in test, Standard only in prod when needed
skuName: environment == 'prod' ? 'Standard' : 'Free'
Standard is $9/month per app. Skip it unless you need custom domains, SLA, or the larger function quota.
2. SQL Serverless with auto-pause
sku: { name: 'GP_S_Gen5_1', tier: 'GeneralPurpose', family: 'Gen5', capacity: 1 }
properties: {
autoPauseDelay: 15 // minutes before pause
minCapacity: json('0.5')
maxSizeBytes: 1073741824 // 1 GB
}
Paused = storage cost only (~$0.10/GB/month). First request after pause takes 30–60s.
3. Container Apps scale-to-zero
scale: {
minReplicas: 0 // <<< the cost win
maxReplicas: 3
}
workloadProfileName: 'Consumption' // never 'Dedicated D4/D8' — those bill per-minute idle
Idle = $0. Use minReplicas: 1 only when cold-start hurts UX.
4. Log Analytics dailyQuotaGb cap
workspaceCapping: { dailyQuotaGb: 1 }
Single most important setting. Without it, a logging bug can ingest 100+ GB overnight.
5. Storage lifecycle rules
Auto-delete temp blobs, age content through Hot → Cool → Cold. See optimizing-azure-blob-storage-cost.
6. Storage Standard_LRS (not GRS/RAGRS unless DR matters)
sku: { name: 'Standard_LRS' }
LRS is half the cost of GRS. Use GRS only when a written DR requirement exists.
7. GHCR over Docker Hub/ACR for non-secret images
GHCR public = $0. ACR Basic = ~$5/mo. Docker Hub anonymous = rate-limited and fragile.
What ships with it
2 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 · 315 lines · 123 tokens per session scan A a002f50dcb1c
applying-azure-cost-guardrails is a skill published in the GitHub repository alexpizarro/azure-lean-stack-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 123 tokens to every session and 4,100 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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