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 UnitOneAI/SecuritySkills --skill azure-reviewgit clone --depth 1 https://github.com/UnitOneAI/SecuritySkillsWrote 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/unitoneai/securityskills/azure-review)<a href="https://agentmods.dev/skills/unitoneai/securityskills/azure-review"><img src="https://agentmods.dev/badge/skills/unitoneai/securityskills/azure-review/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/unitoneai/securityskills/azure-review"><img src="https://agentmods.dev/badge/skills/unitoneai/securityskills/azure-review.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 | $0.00081 | $0.02685 |
| Opus 5 | $0.00041 | $0.01342 |
| Sonnet 5 | $0.00016 | $0.00537 |
| Haiku 4.5 | $0.00008 | $0.00268 |
Grade A, and why
azure-review 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 9d 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 — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Security Posture Review
Overview
This skill performs a structured security assessment of Azure environments against the CIS Microsoft Azure Foundations Benchmark v2.1.0. The benchmark is organized into nine sections covering identity management, security center, storage, database services, logging and monitoring, networking, virtual machines, Key Vault, and App Service. Each recommendation is evaluated by inspecting infrastructure-as-code definitions (Terraform, Bicep, ARM templates), Azure CLI output, or configuration files available in the repository.
The CIS Azure Foundations Benchmark v2.1.0 provides prescriptive guidance across nine domains. This skill evaluates each applicable control and produces a findings report with CIS recommendation IDs, severity ratings, and actionable remediation steps.
When to Use
If a target is provided via arguments, focus the review on: $ARGUMENTS
- Reviewing Azure infrastructure-as-code before deployment
- Assessing an existing Azure environment's security posture against CIS benchmarks
- Preparing for a CIS benchmark audit or compliance assessment
- Evaluating Entra ID configurations, NSG rules, Defender for Cloud, Storage account security, or Key Vault access policies
- Onboarding a new Azure subscription into a security program
Context
The CIS Microsoft Azure Foundations Benchmark v2.1.0 is a consensus-driven security configuration guide developed by the Center for Internet Security. Organizations use it as the foundation for Azure security assessments, compliance programs, and continuous monitoring. Microsoft Defender for Cloud natively supports CIS benchmark assessments, making this benchmark the de facto standard for Azure security posture evaluation.
Prerequisites
- Access to Azure infrastructure-as-code files (Terraform
.tf, Bicep.bicep, ARM templates.json) - Azure CLI output or configuration exports (if reviewing a live environment)
- Entra ID (Azure AD) configuration files or policy documents
- NSG and firewall rule definitions
- Key Vault access policies and RBAC assignments
What ships with it
1 file 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.
- 9d ago First seen · 245 lines · 81 tokens per session scan A e4f781056d64
azure-review is a skill published in the GitHub repository UnitOneAI/SecuritySkills (60 stars, last pushed 2mo ago), licensed MIT. It adds 81 tokens to every session and 2,685 once invoked, about $0.0004 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 2026-08-30.
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