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 manu14357/zskills --skill azure-deploygit clone --depth 1 https://github.com/manu14357/zskillsWrote 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/manu14357/zskills/azure-deploy)<a href="https://agentmods.dev/skills/manu14357/zskills/azure-deploy"><img src="https://agentmods.dev/badge/skills/manu14357/zskills/azure-deploy/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/manu14357/zskills/azure-deploy"><img src="https://agentmods.dev/badge/skills/manu14357/zskills/azure-deploy.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 | $0.00053 | $0.02019 |
| Opus 5 | $0.00026 | $0.01009 |
| Sonnet 5 | $0.00011 | $0.00404 |
| Haiku 4.5 | $0.00005 | $0.00202 |
Grade A, and why
azure-deploy 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 10d 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.
- Smoke test steps (curl commands, portal checks) How it starts
The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Deploy
Deploy workloads to Azure with a clear, low-risk process aligned with the Well-Architected Framework. Emphasis on idempotency, repeatable IaC, comprehensive validation, and reversible rollback paths.
Use This Skill When
- The user asks to deploy an app or service to Azure
- The user needs release automation, blue-green, or canary deployments
- The user wants Infrastructure-as-Code guidance (Bicep, Terraform)
- The user needs rollback and disaster recovery procedures
- Deployment fails and needs troubleshooting with validation steps
Context: Deployment Maturity Model
Stage 1: Manual → Portal-only, error-prone, hard to audit
Stage 2: Semi-Automated → Scripts with some IaC, inconsistent across environments
Stage 3: Fully Automated → Declarative IaC, CI/CD, infrastructure versioned ← Target
Stage 4: GitOps → All changes through pull requests, fully auditable, drift detection
Required Inputs
- Target environment: subscription ID, resource group, region, tenant
- Environment stage: dev, test, stage, prod (with distinct names)
- Workload type: web app, function, container app, AKS, VM, hybrid
- Deployment method: Azure CLI, Bicep, Terraform, ARM template, Azure Developer CLI
- Artifact readiness: built container image, versioned application package
- Security context: managed identity vs. connection string, private endpoints, secret rotation
- Validation criteria: health checks, endpoint tests, smoke tests, performance baselines
- Rollback tolerance: how many minutes can service be unavailable?
Decision Tree
Is this infrastructure or application code?
├─ Infrastructure → Use Bicep or Terraform (IaC)
└─ Application → Use Azure DevOps or GitHub Actions pipeline
Is this a net-new deployment or an update?
├─ Net-new → Deploy with full validation suite
└─ Update → Blue-green or canary strategy to minimize blast radius
Do you need instant rollback capability?
├─ Yes → Blue-green deployment (dual environments, instant traffic switch)
└─ Acceptable lag → Canary (gradual rollout with monitoring)
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.
- 10d ago First seen · 233 lines · 53 tokens per session scan A e32de91b056e
azure-deploy is a skill published in the GitHub repository manu14357/zskills (16 stars, last pushed 1mo ago), licensed MIT. It adds 53 tokens to every session and 2,019 once invoked, about $0.0003 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 2026-08-30.
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