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 fabioc-aloha/Alex_Skill_Mall --skill azure-deployment-preflightgit clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_MallWrote 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/fabioc-aloha/alex_skill_mall/azure-deployment-preflight)<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/azure-deployment-preflight"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/azure-deployment-preflight/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/fabioc-aloha/alex_skill_mall/azure-deployment-preflight"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/azure-deployment-preflight.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 | $0.00090 | $0.01768 |
| Opus 5 | $0.00045 | $0.00884 |
| Sonnet 5 | $0.00018 | $0.00354 |
| Haiku 4.5 | $0.00009 | $0.00177 |
Grade A, and why
azure-deployment-preflight 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 7d 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.
This is a copy
98% identical to azure-deployment-preflight — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Deployment Preflight Validation
This skill validates Bicep deployments before execution, supporting both Azure CLI (az) and Azure Developer CLI (azd) workflows.
When to Use This Skill
- Before deploying infrastructure to Azure
- When preparing or reviewing Bicep files
- To preview what changes a deployment will make
- To verify permissions are sufficient for deployment
- Before running
azd up,azd provision, oraz deploymentcommands
Validation Process
Follow these steps in order. Continue to the next step even if a previous step fails—capture all issues in the final report.
Step 1: Detect Project Type
Determine the deployment workflow by checking for project indicators:
-
Check for azd project: Look for
azure.yamlin the project root- If found → Use azd workflow
- If not found → Use az CLI workflow
-
Locate Bicep files: Find all
.bicepfiles to validate- For azd projects: Check
infra/directory first, then project root - For standalone: Use the file specified by the user or search common locations (
infra/,deploy/, project root)
- For azd projects: Check
-
Auto-detect parameter files: For each Bicep file, look for matching parameter files:
<filename>.bicepparam(Bicep parameters - preferred)<filename>.parameters.json(JSON parameters)parameters.jsonorparameters/<env>.jsonin same directory
Step 2: Validate Bicep Syntax
Run Bicep CLI to check template syntax before attempting deployment validation:
bicep build <bicep-file> --stdout
What to capture:
- Syntax errors with line/column numbers
- Warning messages
- Build success/failure status
If Bicep CLI is not installed:
- Note the issue in the report
- Continue to Step 3 (Azure will validate syntax during what-if)
Step 3: Run Preflight Validation
Choose the appropriate validation based on project type detected in Step 1.
For azd Projects (azure.yaml exists)
Use azd provision --preview to validate the deployment:
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.
- 7d ago First seen · 218 lines · 90 tokens per session scan A b2ab7b2a6a2d
azure-deployment-preflight is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed today), licensed MIT. It adds 90 tokens to every session and 1,768 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to azure-deployment-preflight, differing in 3 lines, and is treated as a copy.
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