azure-verified-modules▌
hashicorp/agent-skills · updated Apr 8, 2026
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Certification requirements and best practices for Azure Terraform modules seeking AVM compliance.
- ›Enforces provider version constraints (azurerm >= 4.0, < 5.0; azapi >= 2.0, < 3.0) and prohibits git-based module references in favor of pinned Terraform registry sources
- ›Mandates lower snake_casing for all identifiers, precise variable types, discrete output attributes via anti-corruption layer pattern, and alphabetically ordered locals
- ›Requires feature toggle variables for ne
Azure Verified Modules (AVM) Requirements
This guide covers the mandatory requirements for Azure Verified Modules certification. These requirements ensure consistency, quality, and maintainability across Azure Terraform modules.
References:
Table of Contents
- Module Cross-Referencing
- Azure Provider Requirements
- Code Style Standards
- Variable Requirements
- Output Requirements
- Local Values Standards
- Terraform Configuration Requirements
- Testing Requirements
- Documentation Requirements
- Breaking Changes & Feature Management
- Contribution Standards
- Compliance Checklist
Module Cross-Referencing
Severity: MUST | Requirement: TFFR1
When building Resource or Pattern modules, module owners MAY cross-reference other modules. However:
- Modules MUST be referenced using HashiCorp Terraform registry reference to a pinned version
- Example:
source = "Azure/xxx/azurerm"withversion = "1.2.3"
- Example:
- Modules MUST NOT use git references (e.g.,
git::https://xxx.yyy/xxx.gitorgithub.com/xxx/yyy) - Modules MUST NOT contain references to non-AVM modules
Azure Provider Requirements
Severity: MUST | Requirement: TFFR3
Authors MUST only use the following Azure providers:
| Provider | Min Version | Max Version |
|---|---|---|
| azapi | >= 2.0 | < 3.0 |
| azurerm | >= 4.0 | < 5.0 |
Requirements:
- Authors MAY select either Azurerm, Azapi, or both providers
- MUST use
required_providersblock to enforce provider versions - SHOULD use pessimistic version constraint operator (
~>)
Example:
terraform {
required_providers {
azurerm = {
source = "hashicorp/azurerm"
version = "~> 4.0"
}
azapi = {
source = "Azure/azapi"
version = "~> 2.0"
}
}
}
Code Style Standards
Lower snake_casing
Severity: MUST | Requirement: TFNFR4
MUST use lower snake_casing for:
- Locals
- Variables
- Outputs
- Resources (symbolic names)
- Modules (symbolic names)
Example: snake_casing_example
Resource & Data Source Ordering
Severity: SHOULD | Requirement: TFNFR6
- Resources that are depended on SHOULD come first
- Resources with dependencies SHOULD be defined close to each other
Count & for_each Usage
Severity: MUST | Requirement: TFNFR7
- Use
countfor conditional resource creation - MUST use
map(xxx)orset(xxx)as resource'sfor_eachcollection - The map's key or set's element MUST be static literals
Example:
resource "azurerm_subnet" "pair" {
for_each = var.subnet_map # map(string)
name = "${each.value}-pair"
resource_group_name = azurerm_resource_group.example.name
virtual_network_name = azurerm_virtual_network.example.name
address_prefixes = ["10.0.1.0/24"]
}
Resource & Data Block Internal Ordering
Severity: SHOULD | Requirement: TFNFR8
Order within resource/data blocks:
-
Meta-arguments (top):
providercountfor_each
-
Arguments/blocks (middle, alphabetical):
- Required arguments
- Optional arguments
- Required nested blocks
- Optional nested blocks
-
Meta-arguments (bottom):
depends_onlifecycle(with sub-order:create_before_destroy,ignore_changes,prevent_destroy)
Separate sections with blank lines.
Module Block Ordering
Severity: SHOULD | Requirement: TFNFR9
Order within module blocks:
-
Top meta-arguments:
sourceversioncountfor_each
-
Arguments (alphabetical):
- Required arguments
- Optional arguments
-
Bottom meta-arguments:
depends_onproviders
Lifecycle ignore_changes Syntax
Severity: MUST | Requirement: TFNFR10
The ignore_changes attribute MUST NOT be enclosed in double quotes.
Good:
lifecycle {
ignore_changes = [tags]
}
Bad:
lifecycle {
ignore_changes = ["tags"]
}
Null Comparison for Conditional Creation
Severity: SHOULD | Requirement: TFNFR11
For parameters requiring conditional resource creation, wrap with object type to avoid "known after apply" issues during plan stage.
Recommended:
variable "security_group" {
type = object({
id = string
})
default = null
}
Dynamic Blocks for Optional Nested Objects
Severity: MUST | Requirement: TFNFR12
Nested blocks under conditions MUST use this pattern:
dynamic "identity" {
for_each = <condition> ? [<some_item>] : []
content {
# block content
}
}
Default Values with coalesce/try
Severity: SHOULD | Requirement: TFNFR13
Good:
coalesce(var.new_network_security_group_name, "${var.subnet_name}-nsg")
Bad:
var.new_network_security_group_name == null ? "${var.subnet_name}-nsg" : var.new_network_security_group_name
Provider Declarations in Modules
Severity: MUST | Requirement: TFNFR27
providerMUST NOT be declared in modules (except forconfiguration_aliases)providerblocks in modules MUST only usealias- Provider configurations SHOULD be passed in by module users
Variable Requirements
Not Allowed Variables
Severity: MUST | Requirement: TFNFR14
Module owners MUST NOT add variables like enabled or module_depends_on to control entire module operation. Boolean feature toggles for specific resources are acceptable.
Variable Definition Order
Severity: SHOULD | Requirement: TFNFR15
Variables SHOULD follow this order:
- All required fields (alphabetical)
- All optional fields (alphabetical)
Variable Naming Rules
Severity: SHOULD | Requirement: TFNFR16
- Follow HashiCorp's naming rules
- Feature switches SHOULD use positive statements:
xxx_enabledinstead ofxxx_disabled
Variables with Descriptions
Severity: SHOULD | Requirement: TFNFR17
descriptionSHOULD precisely describe the parameter's purpose and expected data type- Target audience is module users, not developers
- For
objecttypes, use HEREDOC format
Variables with Types
Severity: MUST | Requirement: TFNFR18
typeMUST be defined for every variabletypeSHOULD be as precise as possibleanyMAY only be used with adequate reasons- Use
boolinstead ofstring/numberfor true/false values - Use concrete
objectinstead ofmap(any)
Sensitive Data Variables
Severity: SHOULD | Requirement: TFNFR19
If a variable's type is object and contains sensitive fields, the entire variable SHOULD be sensitive = true, or extract sensitive fields into separate variables.
Non-Nullable Defaults for Collections
Severity: SHOULD | Requirement: TFNFR20
Nullable SHOULD be set to false for collection values (sets, maps, lists) when using them in loops. For scalar values, null may have semantic meaning.
Discourage Nullability by Default
Severity: MUST | Requirement: TFNFR21
nullable = true MUST be avoided unless there's a specific semantic need for null values.
Avoid sensitive = false
Severity: MUST | Requirement: TFNFR22
sensitive = false MUST be avoided (this is the default).
Sensitive Default Value Conditions
Severity: MUST | Requirement: TFNFR23
A default value MUST NOT be set for sensitive inputs (e.g., default passwords).
Handling Deprecated Variables
Severity: MUST | Requirement: TFNFR24
- Move deprecated variables to
deprecated_variables.tf - Annotate with
DEPRECATEDat the beginning of description - Declare the replacement's name
- Clean up during major version releases
Output Requirements
Additional Terraform Outputs
Severity: SHOULD | Requirement: TFFR2
Authors SHOULD NOT output entire resource objects as these may contain sensitive data and the schema can change with API or provider versions.
Best Practices:
- Output computed attributes of resources as discrete outputs (anti-corruption layer pattern)
- SHOULD NOT output values that are already inputs (except
name) - Use
sensitive = truefor sensitive attributes - For resources deployed with
for_each, output computed attributes in a map structure
Examples:
# Single resource computed attribute
output "foo" {
description = "MyResource foo attribute"
value = azurerm_resource_myresource.foo
}
# for_each resources
output "childresource_foos" {
description = "MyResource children's foo attributes"
value = {
for key, value in azurerm_resource_mychildresource : key => value.foo
}
}
# Sensitive output
output "bar" {
description = "MyResource bar attribute"
value = azurerm_resource_myresource.bar
sensitive = true
}
Sensitive Data Outputs
Severity: MUST | Requirement: TFNFR29
Outputs containing confidential data MUST be declared with sensitive = true.
Handling Deprecated Outputs
Severity: MUST | Requirement: TFNFR30
- Move deprecated outputs to
deprecated_outputs.tf - Define new outputs in
outputs.tf - Clean up during major version releases
Local Values Standards
locals.tf Organization
Severity: MAY | Requirement: TFNFR31
locals.tfSHOULD only containlocalsblocks- MAY declare
localsblocks next to resources for advanced scenarios
Alphabetical Local Arrangement
Severity: MUST | Requirement: TFNFR32
Expressions in locals blocks MUST be arranged alphabetically.
Precise Local Types
Severity: SHOULD | Requirement: TFNFR33
Use precise types (e.g., number for age, not string).
Terraform Configuration Requirements
Terraform Version Requirements
Severity: MUST | Requirement: TFNFR25
terraform.tf requirements:
- MUST contain only one
terraformblock - First line MUST define
required_version - MUST include minimum version constraint
- MUST include maximum major version constraint
- SHOULD use
~> #.#or>= #.#.#, < #.#.#format
Example:
terraform {
required_version = "~> 1.6"
required_providers {
azurerm = {
How to use azure-verified-modules on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add azure-verified-modules
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches azure-verified-modules from GitHub repository hashicorp/agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate azure-verified-modules. Access the skill through slash commands (e.g., /azure-verified-modules) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★38 reviews- ★★★★★Hana Anderson· Dec 28, 2024
azure-verified-modules reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ganesh Mohane· Dec 24, 2024
azure-verified-modules reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Mateo Lopez· Dec 24, 2024
azure-verified-modules has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Hiroshi Abebe· Dec 24, 2024
Keeps context tight: azure-verified-modules is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ama Shah· Dec 4, 2024
We added azure-verified-modules from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Mia Srinivasan· Nov 23, 2024
Solid pick for teams standardizing on skills: azure-verified-modules is focused, and the summary matches what you get after install.
- ★★★★★Sakura Bansal· Nov 19, 2024
I recommend azure-verified-modules for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Sakshi Patil· Nov 15, 2024
I recommend azure-verified-modules for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ama Verma· Nov 15, 2024
azure-verified-modules fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Mia Bansal· Oct 14, 2024
azure-verified-modules has been reliable in day-to-day use. Documentation quality is above average for community skills.
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