Provider Verification
mondoohq/mql
Verify mql provider resource/field changes against real cloud infrastructure.
A skill your agent uses for the AVM Terraform contribution process from module proposal and repository setup through implementation, Avm.Authoring validation, pull request review, and release.
$ npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-process -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Azure/terraform-azurerm-avm-ptn-alz avm-tf-process --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Azure/terraform-azurerm-avm-ptn-alz.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/avm-tf-process .claude/skills/avm-tf-process && rm -rf skills-srcUse ~/.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/
Install the "avm-tf-process" agent skill from https://github.com/Azure/terraform-azurerm-avm-ptn-alz/tree/main/.github/skills/avm-tf-process into .claude/skills/avm-tf-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "avm-tf-process", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Azure/terraform-azurerm-avm-ptn-alz/tree/main/.github/skills/avm-tf-processType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-process -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Azure/terraform-azurerm-avm-ptn-alz avm-tf-process --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Azure/terraform-azurerm-avm-ptn-alz.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/avm-tf-process .agents/skills/avm-tf-process && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "avm-tf-process" agent skill from https://github.com/Azure/terraform-azurerm-avm-ptn-alz/tree/main/.github/skills/avm-tf-process into .agents/skills/avm-tf-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "avm-tf-process", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-process -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Azure/terraform-azurerm-avm-ptn-alz avm-tf-process --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Azure/terraform-azurerm-avm-ptn-alz.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/avm-tf-process .cursor/skills/avm-tf-process && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "avm-tf-process" agent skill from https://github.com/Azure/terraform-azurerm-avm-ptn-alz/tree/main/.github/skills/avm-tf-process into .cursor/skills/avm-tf-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "avm-tf-process", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Azure/terraform-azurerm-avm-ptn-alz.git --path .github/skills/avm-tf-process--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-process -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Azure/terraform-azurerm-avm-ptn-alz avm-tf-process --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Azure/terraform-azurerm-avm-ptn-alz.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/avm-tf-process .gemini/skills/avm-tf-process && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "avm-tf-process" agent skill from https://github.com/Azure/terraform-azurerm-avm-ptn-alz/tree/main/.github/skills/avm-tf-process into .gemini/skills/avm-tf-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "avm-tf-process", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Azure/terraform-azurerm-avm-ptn-alz avm-tf-processInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-process -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Azure/terraform-azurerm-avm-ptn-alz.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/avm-tf-process .github/skills/avm-tf-process && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "avm-tf-process" agent skill from https://github.com/Azure/terraform-azurerm-avm-ptn-alz/tree/main/.github/skills/avm-tf-process into .github/skills/avm-tf-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "avm-tf-process", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-process -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Azure/terraform-azurerm-avm-ptn-alz avm-tf-process --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Azure/terraform-azurerm-avm-ptn-alz.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/avm-tf-process .opencode/skills/avm-tf-process && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "avm-tf-process" agent skill from https://github.com/Azure/terraform-azurerm-avm-ptn-alz/tree/main/.github/skills/avm-tf-process into .opencode/skills/avm-tf-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "avm-tf-process", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
avm-tf-processA skill your agent uses for the AVM Terraform contribution process from module proposal and repository setup through implementation, Avm.Authoring validation, pull request review, and release.
Avm Tf Process is an agent skill from Azure/terraform-azurerm-avm-ptn-alz, published by the product's own GitHub organization. Use for the AVM Terraform contribution process from module proposal and repository setup through implementation, Avm.Authoring validation, pull request review, and release.
Its SKILL.md is about 1.5k 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 and Pull requests. It works with Terraform and Microsoft Azure. The repository describes itself as: Terraform Azure Verified Pattern Module for Azure Landing Zone Management Groups and Policy. The licence is MIT.
9 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e2a318c. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are powershell).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
azure.github.ioFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Avm Tf Process loads about 1.5k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 730 words of instructions outside code blocks.
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.
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.
The full file from Azure/terraform-azurerm-avm-ptn-alz at commit e2a318c, republished under its MIT licence (© Azure). 730 words, ~1,529 tokens.
.claude/skills/avm-tf-process/SKILL.md (or your agent's skills folder).Use the current AVM process and specification pages from https://azure.github.io/Azure-Verified-Modules/llms.txt. Older public setup pages or module repositories may still contain the retired launcher, Makefile, container, or Porch flow.
Determine whether the work is a resource, pattern, or utility module. Confirm the approved module name and ownership from the AVM indexes and proposal rather than inventing a name.
Before creating or restructuring a repository, read the current requirements for:
Start from the current AVM Terraform template or governance-managed repository state. Import Avm.Authoring and synchronize managed files:
Install-PSResource -Name Avm.Authoring -Repository PSGallery -TrustRepository
Import-Module Avm.Authoring
avm version
avm syncReview synchronized changes before continuing. Do not restore files from the retired Make, Porch, or container workflow.
Build every new resource-deploying module repository on AzAPI. Do not declare or configure hashicorp/azurerm, and do not create any azurerm_* resource or data source for control-plane operations, convenience, or ordinary supporting infrastructure in implementation, submodules, examples, E2E configurations, Terraform tests, fixtures, setup or teardown Terraform, migration examples, documentation examples, or generated snippets.
When supporting configuration needs a direct Azure resource that the module under test does not supply, use an AzAPI resource, data source, or action. Each standalone Terraform root that performs direct Azure operations includes Azure/azapi in required_providers.
Permit hashicorp/azurerm ~> 4.0 only when required by an independently justified azurerm_* resource or data-source block. Each block scopes to one specific unsupported data-plane/non-ARM operation, documents the exact block and why AzAPI cannot implement it with an upstream AzAPI issue or pull request, and is replaced when support ships. Prefer an AVM TFLint override file, but use a justified line-level annotation when it avoids suppressing unrelated findings in the same scope. One valid block does not authorize another. Examples and tests may configure AzureRM only to exercise such blocks. Follow avm-tf-tflint.
Fetch llms.txt, then read each applicable raw spec page. At minimum, review:
Use the local specialized skills for implementation details, but resolve any conflict in favor of the current published spec.
Keep changes scoped and preserve unrelated history. Add or update:
_header.md and _footer.md;Avm.Authoring.Scripts and lifecycle hooks must be PowerShell. Supported hook names include:
tests/unit/setup.ps1;tests/integration/setup.ps1;examples/<name>/pre.ps1;examples/<name>/post.ps1; andexamples/<name>/tflint-pre.ps1.Do not add shell-hook counterparts.
Choose the smallest tier that proves the change:
avm test unit
avm test integration
avm test e2e --example <example-name>Unit tests mock all required providers. Integration and E2E tests need real Azure authentication. E2E tests must prove deployment, idempotency, and cleanup.
Run:
avm pre-commitFor Terraform this performs managed-file sync, fixable convention rules, transforms, formatting, and documentation generation. Review every generated or synchronized change and rerun targeted tests if the generated change affects behavior.
Commit the complete worktree before running:
avm pr-checkavm pr-check requires a clean Git worktree. It checks sync, formatting, transforms, lint, APRL/AVMSEC policy evaluation, conventions, Terraform validation, and documentation. Unit tests remain a separate test tier and CI job; a passing PR check is not a substitute for required unit, integration, or E2E coverage.
The pull request must explain:
Review the final diff rather than only the hand-authored files. Managed and generated outputs are part of the change.
Follow the current AVM semantic-versioning and publishing process. Confirm:
Use Avm.Authoring throughout. Do not substitute ./avm, avm.ps1, Make, Porch, Docker, Podman, or manually installed pinned tools.
© Azure, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .github/skills/avm-tf-process of Azure/terraform-azurerm-avm-ptn-alz.
Open the folder on GitHubat commit e2a318c
Avm Tf Process 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Avm Tf Process this skillAzure/terraform-azurerm-avm-ptn-alz | 135 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Provider Verificationmondoohq/mql | 411 | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Terravision Cloud Diagramspatrickchugh/terravision | 1.6k | — | ~5.6k | Automated safety check: Notes | AGPL-3.0-only | |
| Apex GitHub Operationsjonathan-vella/apex | 217 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Azure CopilotMicrosoftDocs/Agent-Skills | 777 | — | ~1.4k | Automated safety check: Pass | CC-BY-4.0 | |
| TerrasharkLukasNiessen/terrashark | 714 | — | ~843 | Automated safety check: Pass | MIT |
mondoohq/mql
Verify mql provider resource/field changes against real cloud infrastructure.
patrickchugh/terravision
Draw cloud architecture diagrams for AWS, Azure or GCP with the official provider icon sets, using TerraVision.
jonathan-vella/apex
WORKFLOW SKILL — Full GitHub contribution lifecycle: branches, conventional commits, issues, PRs, Actions, releases.
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure Copilot development including troubleshooting, decision making, architecture & design patterns, security, configuration, and integrations & coding patterns.
LukasNiessen/terrashark
Prevent Terraform/OpenTofu hallucinations by diagnosing and fixing failure modes: identity churn, secret exposure, blast-radius mistakes, CI drift, and compliance gate gaps.
DataDog/terraform-provider-datadog
Generates a Datadog Terraform provider data source from an OpenAPI operation with tfgen and opens a review-ready GitHub PR with a risk scan and testing guide.
Azure/terraform-azurerm-avm-ptn-alz
A skill your agent uses for AVM Terraform AzAPI resources, provider constraints, ARM schemas, parent IDs, resource types, retries, timeouts, response exports, replacement triggers, and…
Azure/terraform-azurerm-avm-ptn-alz
A skill your agent uses for AVM Terraform validation, provider-mocked unit tests, real-Azure integration tests, E2E example tests, PowerShell hooks, OIDC, policy checks, and Avm.Authoring CI behavior.
Azure/terraform-azurerm-avm-ptn-alz
A skill your agent uses whenever a contributor is deciding what KIND of Azure Verified Module to build in Terraform — resource module, pattern module, or utility module — or is naming a module /…
Azure/terraform-azurerm-avm-ptn-alz
A skill your agent uses for AVM Terraform file layout, HCL style, variables, outputs, validation, lifecycle syntax, provider requirements, and Avm.Authoring formatting.
Azure/terraform-azurerm-avm-ptn-alz
A skill your agent uses whenever an AVM Terraform task involves Conftest, OPA, Rego, APRL, AVMSEC, policy findings, policy exceptions, or files under an example exceptions directory.
Azure/terraform-azurerm-avm-ptn-alz
A skill your agent uses for AVM Terraform generated README content, header.md, footer.md, examples documentation, terraform-docs inputs, and Avm.Authoring documentation checks.
Works with
Categories
A skill your agent uses for the AVM Terraform contribution process from module proposal and repository setup through implementation, Avm.Authoring validation, pull request review, and release. Avm Tf Process is an agent skill from Azure/terraform-azurerm-avm-ptn-alz, published by the product's own GitHub organization.Authoring validation, pull request review, and release.
Avm Tf Process fits situations like: the AVM Terraform contribution process from module proposal and repository setup through implementation; avm.Authoring validation; pull request review.
Run `npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-process -a claude-code`. Or copy the skill folder (.github/skills/avm-tf-process in Azure/terraform-azurerm-avm-ptn-alz) into .claude/skills/avm-tf-process in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-process -a codex`. Or copy the skill folder (.github/skills/avm-tf-process in Azure/terraform-azurerm-avm-ptn-alz) into .agents/skills/avm-tf-process in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Azure/terraform-azurerm-avm-ptn-alz --skill avm-tf-process -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/avm-tf-process, .gemini/skills/avm-tf-process, .github/skills/avm-tf-process and .opencode/skills/avm-tf-process in your project.
SKILL.md names no scripts, command-line tools or credentials: Avm Tf Process is instructions for the agent only. Our summary lists: Docker.
SKILL.md names 1 domain. As links in the text: azure.github.io. This is read from the text; nothing was executed.
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.
Avm Tf Process is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Avm Tf Process: Provider Verification (mondoohq/mql, 411 stars), Terravision Cloud Diagrams (patrickchugh/terravision, 1.6k stars), Apex GitHub Operations (jonathan-vella/apex, 217 stars) and Azure Copilot (MicrosoftDocs/Agent-Skills, 777 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Azure (a GitHub organization, an official publisher) maintains it in Azure/terraform-azurerm-avm-ptn-alz, which has 135 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 6, 2026.
Source: Azure/terraform-azurerm-avm-ptn-alz on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.