Official agent skill

Azv Bicep Policy Check

by Azure in Azure/AZVerify

Check a Bicep template against the Azure Policy assignments in the target Azure environment to determine whether the resources would be compliant before deployment.

OfficialMITAuto-check passedDevOps & Cloud

Install Azv Bicep Policy Check

skills CLI
$ npx skills add Azure/AZVerify --skill azv-bicep-policy-check -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Azure/AZVerify azv-bicep-policy-check --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Azure/AZVerify.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/azv-bicep-policy-check .claude/skills/azv-bicep-policy-check && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
azv-bicep-policy-check
GitHub stars
101
Token cost
~4.3k tokens
SKILL.md length
1,924 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

Check a Bicep template against the Azure Policy assignments in the target Azure environment to determine whether the resources would be compliant before deployment.

  • Works in 8 steps: Check Azure Authentication → Accept Inputs → Parse Templates into Expected Resource… → …
  • Tasks that involve Infrastructure as code
  • Calls az
  • Tasks that involve Backend development

What it does

Azv Bicep Policy Check is an agent skill from Azure/AZVerify, published by the product's own GitHub organization. Check a Bicep template against the Azure Policy assignments in the target Azure environment to determine whether the resources would be compliant before deployment. Uses the checkPolicyRestrictions REST API for fast server-side evaluation, with a legacy CLI fallback. Produces a per-resource compliance report with remediation guidance.

Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Infrastructure as code, Backend development and REST APIs. It works with Bicep, Microsoft Azure and GitHub. The licence is MIT.

When your agent uses it

  • Tasks that involve Infrastructure as code
  • Tasks that involve Backend development
  • Tasks that involve REST APIs

Example prompts

  • “/azv-bicep-policy-check”

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Check Azure Authentication
  2. Accept Inputs
  3. Parse Templates into Expected Resource Model
  4. Evaluate Policy Compliance via checkPolicyRestrictions API
  5. Determine Compliance Status per Resource
  6. Build Compliance Report
  7. Offer Next Steps
  8. Important Notes

What it can do on your machine

Read from SKILL.md and the folder at commit d6a2b92. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • az

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use az, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Azv Bicep Policy Check loads about 4.3k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 1,924 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~90
When it runs · the whole SKILL.md, loaded when a task matches
~4.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Azure/AZVerify at commit d6a2b92, republished under its MIT licence (© Azure). 1,924 words, ~4,326 tokens.

Download SKILL.mdSave it as .claude/skills/azv-bicep-policy-check/SKILL.md (or your agent's skills folder).
name
azv-bicep-policy-check
description
Check a Bicep template against the Azure Policy assignments in the target Azure environment to determine whether the resources would be compliant before deployment. Uses the checkPolicyRestrictions REST API for fast server-side evaluation, with a legacy CLI fallback. Produces a per-resource compliance report with remediation guidance.
license
MIT
metadata.author
AzVerify
metadata.version
1.0
metadata.project
AzVerify

Check Bicep templates against the Azure Policy assignments active in the target environment. Reports whether each resource would be compliant, non-compliant, or requires manual evaluation — before any deployment occurs.

Input: A solution folder containing Bicep templates (main.bicep) and a .bicepparam file, plus an Azure target scope (resource group name, subscription ID). The user can specify these, or the skill will auto-discover and prompt for missing inputs.

Tools required: File system tools (read files), Terminal (for running az CLI commands)

Reference files:

  • .github/skills/shared/azure-resource-model.md — Shared resource metadata model definition
  • .github/skills/shared/azure-resource-configs.md — Per-resource-type configuration schemas and auto-detection rules
  • .github/skills/shared/data/azure-property-paths.json — Azure Property Retrieval Mapping (MCP tools, CLI fallbacks, ARM JSON paths)

Shared procedures (MUST follow):

  • .github/skills/shared/procedures/azure-authentication.md — Azure session check procedure
  • .github/skills/shared/procedures/bicep-parsing.md — Bicep template parsing procedure

Steps

1. Check Azure Authentication

Follow the procedure in .github/skills/shared/procedures/azure-authentication.md. HARD GATE — stop if not authenticated.

2. Accept Inputs

Identify the solution folder, the Bicep template, the parameter file, and the target scope.

2a. Identify the Solution Folder

If the user specifies a folder path:

  • Verify the folder exists
  • Use it as the solution folder

If no folder is specified:

  • Search the workspace for folders containing a main.bicep file
  • If exactly one is found, use it (announce which folder)
  • If multiple are found, present the list and ask the user to select one
  • If none are found, ask the user to provide a solution folder
2b. Identify the Bicep Template
  • Verify main.bicep exists in the solution folder
  • If not found, report an error:
## No Bicep Template Found

No `main.bicep` file found in `<folder-path>`.
This skill requires a Bicep template to check policy compliance.
  • Stop execution
2c. Identify the Parameter File

If exactly one .bicepparam file exists in the solution folder:

  • Use it as the parameter file (announce which file)

If multiple .bicepparam files exist:

  • Present the list and ask the user to select one

If no .bicepparam file exists:

  • Warn the user:
⚠️ No `.bicepparam` file found in `<folder-path>`. Default parameter values will be used when evaluating policy compliance.
  • Proceed without a parameter file
2d. Identify the Target Scope

If the user specifies a resource group name:

  • Use it as the target scope
  • Verify the resource group exists: run az group show --name <name> and capture the subscription ID from the result

If the user specifies a subscription ID:

  • Use it as the target scope for subscription-level policy retrieval

If no scope is specified, try to infer it:

  1. From the .bicepparam file: look for comments or using declarations indicating a target resource group
  2. If a resource group name is found, propose it:
The `.bicepparam` file references resource group `<name>`. Use this as the target scope? (yes/no)
  1. If no scope can be inferred, ask the user:
Which Azure resource group are you targeting for this deployment?
  • Wait for user input
3. Parse Templates into Expected Resource Model

Read the Bicep template and parameter file to build an expected resource model — what the templates declare should exist.

3a. Read and parse the .bicepparam file

Read the .bicepparam file and extract all parameter values. For each param <name> = <value> line, record the name and resolved value.

3b. Read and parse main.bicep and all module files

Read main.bicep and every Bicep module it references in modules/. For each resource block, extract:

  • Resource type (e.g., Microsoft.Web/sites)
  • API version
  • Symbolic name (Bicep variable name)
  • name property — resolve parameter references using the values from Step 3a where possible
  • All other properties — collect the full set of declared properties for policy evaluation (location, SKU, kind, properties.* fields)

Store this as the expected resource model: a list of resources, each with their type, name, and full declared properties.

If a property value references a parameter that cannot be resolved (e.g., it depends on deployment-time input), record it as <unresolved: paramName>.

3c. Build resource group resource entry

Many policies (e.g., required tags) target the resource group itself (Microsoft.Resources/subscriptions/resourceGroups), not the resources inside it. The skill must check the resource group as a separate resource.

If the resource group already exists:

  • Run az group show --name <rgName> -o json to get its current tags and location
  • Build a resource entry using the existing RG properties

If the resource group does not exist yet (new deployment):

  • Build a resource entry using:
    • name — the target resource group name
    • location — the location parameter from the .bicepparam file
    • tags — look for a resourceGroupTags or similar parameter in the .bicepparam file. If none exists, use {}

Add this as the first entry in the expected resource model:

Resource: <rgName>
Type: Microsoft.Resources/subscriptions/resourceGroups
API version: 2024-03-01
Properties: { location, tags }

This adds only one extra API call (~1–3 seconds) to the check, keeping total execution fast.

4. Evaluate Policy Compliance via checkPolicyRestrictions API

Use the Azure checkPolicyRestrictions REST API to evaluate each resource against all active policies in a single call per resource. This replaces sequential CLI fetches of initiatives and definitions.

Performance goal: 1 REST call per resource (typically 2–5 calls total). No initiative expansion, no definition fetching, no local rule evaluation needed — Azure does all policy evaluation server-side.

4a. Build resource content payloads

For each resource in the expected resource model (Step 3), including the resource group from Step 3c, build a resourceContent JSON object matching what would be deployed. Include:

For the resource group entry (from Step 3c):

  • type — Microsoft.Resources/subscriptions/resourceGroups
  • location — resolved from parameters
  • name — the target resource group name
  • tags — resolved from parameters, or {} if none specified

The resource group check uses subscription-level scope (even if the RG exists), since RG creation happens at subscription level. Use: /subscriptions/$subscriptionId/providers/Microsoft.PolicyInsights/checkPolicyRestrictions?api-version=2022-03-01

For all other resources:

  • type — the full resource type (e.g., Microsoft.DevCenter/devcenters)
  • location — resolved from parameters
  • name — resolved from parameters
  • tags — resolved from parameters (use {} if empty/unresolved)
  • sku — if applicable
  • kind — if applicable
  • properties — the full properties bag, resolved from parameters where possible

For properties that reference unresolved parameters, use a reasonable placeholder value and flag the resource for manual review on those properties.

4b. Run ALL resources in a single terminal invocation

CRITICAL: All resource checks MUST be executed in a single terminal command. Do NOT run separate terminal commands per resource.

Build a single PowerShell script that:

  1. Defines all resource payloads as an array (resource group FIRST, with isRG = $true)
  2. Determines scope URLs: subscription-level for the RG itself, RG-level for child resources (subscription-level fallback if RG doesn't exist)
  3. Loops through each resource, calling az rest --method POST against the checkPolicyRestrictions endpoint
  4. Outputs all results as JSON

API endpoint pattern: /subscriptions/$subscriptionId[/resourceGroups/$rgName]/providers/Microsoft.PolicyInsights/checkPolicyRestrictions?api-version=2022-03-01

Each resource payload: @{ resourceDetails = @{ resourceContent = <content>; apiVersion = <version> } }

Performance: Completes in one terminal invocation taking ~5–15 seconds total (1–3 seconds per API call).

4c. Handle API errors gracefully
  • 403 Forbidden: The user may lack Microsoft.PolicyInsights/checkPolicyRestrictions/read permission. Fall back to the legacy approach (Step 4-fallback below).
  • 404 Not Found: The resource group doesn't exist yet. Retry with subscription-level scope.
  • Other errors: Report the error and fall back to the legacy approach.
4d. Parse API response

The checkPolicyRestrictions response contains two key sections:

  • fieldRestrictions[] — per-field value restrictions with field, restrictions[].result, restrictions[].values, policy IDs, and policyEffect
  • contentEvaluationResult.policyEvaluations[] — full evaluation results with evaluationResult ("NonCompliant"/"Compliant"), effectDetails.effect, and policy display names

4-fallback. Legacy Approach (if checkPolicyRestrictions is unavailable)

If the checkPolicyRestrictions API is not available (403, unsupported region, or older API version), fall back to this approach:

  1. Fetch all assignments in one call: az policy assignment list --scope "/subscriptions/$subscriptionId" -o json
  2. For each initiative, expand definitions and keyword-filter by resource type
  3. Fetch individual definitions only for the matched subset
  4. Evaluate policy rules locally against resource properties

This fallback is slower (2–5+ minutes for environments with many assignments) but does not require the Microsoft.PolicyInsights RP.


Show full SKILL.md (738 more words)Show less
5. Determine Compliance Status per Resource

Map the checkPolicyRestrictions API response to compliance status for each resource.

5a. Classify from contentEvaluationResult

For each entry in contentEvaluationResult.policyEvaluations:

  • evaluationResult: "NonCompliant" + effect: "deny" → Resource would be Non-Compliant (deployment blocked)
  • evaluationResult: "NonCompliant" + effect: "audit" → Resource would be Non-Compliant (deployment allowed but flagged)
  • evaluationResult: "NonCompliant" + effect: "auditIfNotExists" → Needs manual review (depends on related resource existence in Azure)
  • evaluationResult: "NonCompliant" + effect: "modify" → Modify policy active — Azure will auto-remediate post-deployment, but the value CAN be set proactively in the Bicep template. Report what the modify policy will change.
  • evaluationResult: "NonCompliant" + effect: "deployIfNotExists" → Auto-remediated after deployment (separate resource created by policy; cannot be pre-set in Bicep)

If policyEvaluations is empty or all results are compliant, the resource is Compliant.

5b. Classify from fieldRestrictions

For each entry in fieldRestrictions:

  • If the resource's declared value for the restricted field is in the allowed values list → Compliant for this restriction
  • If the resource's declared value is NOT in the allowed list and the effect is deny → Non-Compliant (deployment blocked)
  • If the resource's declared value is NOT in the allowed list and the effect is audit → Non-Compliant (flagged)
  • If the field value is unresolved (<unresolved: paramName>) → Needs manual review
5c. Aggregate per resource

Combine contentEvaluationResult and fieldRestrictions classifications. The worst status wins:

  1. Non-Compliant (deny) — highest severity
  2. Non-Compliant (audit)
  3. Needs manual review
  4. Modify policy active — auto-remediated but can be proactively fixed in Bicep
  5. Auto-remediated (deployIfNotExists) — separate resource created by policy; informational only
  6. Compliant — lowest severity

6. Build Compliance Report

Aggregate the per-resource, per-policy evaluations into a summary compliance report.

6a. Overall summary

Present a top-level summary table:

## Policy Compliance Check — <folder-name>

| # | Resource | Type | Status |
|---|----------|------|--------|
| 1 | <rgName> | Resource Group | ❌ Non-Compliant (deny) |
| 2 | <name> | <type> | ✅ Compliant |
| 3 | <name> | <type> | ⚠️ Non-Compliant (audit) |
| 4 | <name> | <type> | 🔧 Modify policy active |
| 5 | <name> | <type> | 🔄 Auto-remediated (DINE) |
| 6 | <name> | <type> | ❓ Needs manual review |

**Scope**: <resourceGroupName> (Subscription: <subscriptionName>)
**Policies evaluated**: <count> policy assignments (<count> definitions)
**Result**: <X> compliant, <Y> non-compliant (deny), <Z> non-compliant (audit), <M> modify policies active, <W> need review

Note: The resource group itself is always checked as the first resource. Policies that target Microsoft.Resources/subscriptions/resourceGroups (e.g., required tags on resource groups) are evaluated here. This catches tag requirements, naming conventions, and other RG-level policies that would otherwise be missed.

6b. Non-compliant resource details

For each non-compliant resource, show: Policy name, Assignment, Effect, Reason, Expected vs Actual values, and Remediation guidance.

6c. Needs-manual-review resource details

Show: Policy name, Reason (unresolvable property or condition involving related resources), and recommend az policy state list --resource <resourceId> after deployment.

6d. Modify policy details (actionable)

Show: Policy name, Assignment, Effect (modify), what it does, fields modified (table: Field, Policy action, Value source), current Bicep value, and proactive fix suggestion (set tags/properties in .bicepparam file).

6e. Auto-remediated resource notes (deployIfNotExists)

Show: Policy name, Effect (deployIfNotExists), note that no Bicep changes are required — the remediation creates a separate resource post-deployment.


7. Offer Next Steps

Offer the user:

  • fix — Update Bicep templates to resolve non-compliant settings AND proactively set modify-policy values
  • save report — Save compliance report as policy-compliance-report.md in the solution folder
  • Deploy anyway / Re-check / Preview with azv-bicep-whatif
7a. Fix non-compliant and modify-policy Bicep templates (if requested)

For deny/audit non-compliant resources with deterministic fixes:

  • Locate the property in the Bicep module, update the value, report the change

For modify policies (proactive fix):

  • For tag policies: add required tag keys to .bicepparam with placeholder values
  • For other properties: set to the value the policy would apply, if deterministic
  • For runtime-dependent values: add placeholder with comment explaining expected source

For resource group-level policies (e.g., RequireTag deny):

  • Report that RG creation must include required tags

  • If targetScope = 'subscription', add tags to the RG resource in Bicep

  • For non-compliant resources where the required change is not deterministic (e.g., involves unresolved parameters or complex conditions):

    • Report that the change must be made manually and provide guidance
  • After all updates, present the list of changes made and suggest running azv-bicep-policy-check again to confirm

7b. Save report (if requested)

If the user replies save report (or equivalent):

  • Write the full compliance report as policy-compliance-report.md in the solution folder
  • Confirm:
    Saved compliance report to `<folder>/policy-compliance-report.md`.

8. Important Notes
  • Uses checkPolicyRestrictions REST API (2022-03-01) for server-side evaluation (5–15 seconds for 3–5 resources). Falls back to legacy assignment-expansion approach (2–5+ min) if API returns 403.
  • Requires Microsoft.PolicyInsights/checkPolicyRestrictions/read permission. Most Reader/Contributor roles include this.
  • Policies requiring live Azure state (e.g., auditIfNotExists) are marked Needs manual review. Same for unresolvable deployment-time parameters.
  • The resource group is always checked as a separate resource to catch RG-level policies (e.g., required tags). New RGs use subscription-level scope.
  • Effect precedence: deny (blocks deployment) > audit (flags) > modify (auto-remediates, actionable in Bicep) > deployIfNotExists (informational).
  • The API automatically evaluates inherited policies (management group → subscription → resource group) and handles API version matching.
  • This skill operates independently — does not require a diagram or prior azv-diagram-to-bicep run.

© Azure, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .github/skills/azv-bicep-policy-check of Azure/AZVerify.

Open the folder on GitHubat commit d6a2b92

Compare with similar skills

Azv Bicep Policy Check next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Azv Bicep Policy Check compared with similar skills
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Azure Well Architected Reviewgithub/awesome-copilot40k—~2.5kAutomated safety check: PassMIT
Azure Validatemicrosoft/GitHub-Copilot-for-Azure2551 repos~880Automated safety check: PassMIT
Azure Architecture Autopilotgithub/awesome-copilot40k1 repos~1.9kAutomated safety check: PassMIT
Azure Bicep Skilltimothywarner-org/claude-code224—~2.9kAutomated safety check: PassMIT

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Questions about Azv Bicep Policy Check

What does Azv Bicep Policy Check do?

Check a Bicep template against the Azure Policy assignments in the target Azure environment to determine whether the resources would be compliant before deployment. Azv Bicep Policy Check is an agent skill from Azure/AZVerify, published by the product's own GitHub organization. Check a Bicep template against the Azure Policy assignments in the target Azure environment to determine whether the resources would be compliant before deployment.

When should I use Azv Bicep Policy Check?

Azv Bicep Policy Check fits situations like: tasks that involve Infrastructure as code; tasks that involve Backend development; tasks that involve REST APIs.

How do I install Azv Bicep Policy Check in Claude Code?

Run `npx skills add Azure/AZVerify --skill azv-bicep-policy-check -a claude-code`. Or copy the skill folder (.github/skills/azv-bicep-policy-check in Azure/AZVerify) into .claude/skills/azv-bicep-policy-check in your project. Claude Code loads it when a task matches its description.

How do I install Azv Bicep Policy Check in Codex?

Run `npx skills add Azure/AZVerify --skill azv-bicep-policy-check -a codex`. Or copy the skill folder (.github/skills/azv-bicep-policy-check in Azure/AZVerify) into .agents/skills/azv-bicep-policy-check in your project. Codex loads it when a task matches its description.

Can I use Azv Bicep Policy Check in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Azure/AZVerify --skill azv-bicep-policy-check -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/azv-bicep-policy-check, .gemini/skills/azv-bicep-policy-check, .github/skills/azv-bicep-policy-check and .opencode/skills/azv-bicep-policy-check in your project.

What does Azv Bicep Policy Check need to run?

Going by SKILL.md and its folder, Azv Bicep Policy Check needs the command-line tools its instructions call (az).

Does Azv Bicep Policy Check access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Azv Bicep Policy Check safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Azv Bicep Policy Check use?

Azv Bicep Policy Check is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Azv Bicep Policy Check use?

About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Azv Bicep Policy Check?

Skills that share tags, products or a category with Azv Bicep Policy Check: Apex GitHub Operations (jonathan-vella/apex, 217 stars), Azure Well Architected Review (github/awesome-copilot, 40k stars), Azure Validate (microsoft/GitHub-Copilot-for-Azure, 255 stars) and Azure Architecture Autopilot (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Azv Bicep Policy Check?

Azure (a GitHub organization, an official publisher) maintains it in Azure/AZVerify, which has 101 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on August 27, 2026.

Source: Azure/AZVerify on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.