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Prowler Test Sdk

OrganizationPopular
prowler-cloud
prowler-test-sdk

Testing patterns for Prowler SDK (Python). Trigger: When writing tests for the Prowler SDK (checks/services/providers), including provider-specific mocking rules (moto for AWS only).

Overview

Publisherprowler-cloud
Repositoryprowler
Skill nameprowler-test-sdk
Stars
14.8K
Forks
2.4K
Bundled files
4
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by prowler-cloud on GitHub. Read the source before you install it.

Installation

Install the Prowler Test Sdk AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/prowler-cloud/prowler.git /tmp/prowler
mkdir -p .claude/skills
cp -r /tmp/prowler/skills/prowler-test-sdk .claude/skills/prowler-test-sdk
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prowler Test Sdk in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Prowler Test Sdk on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Prowler Test Sdk is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Generic Patterns: For base pytest patterns (fixtures, mocking, parametrize, markers), see the pytest skill. This skill covers Prowler-specific conventions only.

Full Documentation: docs/developer-guide/unit-testing.mdx

CRITICAL: Provider-Specific Testing

ProviderMocking ApproachDecorator
AWSmoto library@mock_aws
Azure, GCP, K8s, othersMagicMockNone

NEVER use moto for non-AWS providers. NEVER use MagicMock for AWS.


AWS Check Test Pattern

python
from unittest import mock
from boto3 import client
from moto import mock_aws
from tests.providers.aws.utils import AWS_REGION_US_EAST_1, set_mocked_aws_provider


class Test_{check_name}:
    @mock_aws
    def test_no_resources(self):
        from prowler.providers.aws.services.{service}.{service}_service import {ServiceClass}

        aws_provider = set_mocked_aws_provider([AWS_REGION_US_EAST_1])

        with mock.patch(
            "prowler.providers.common.provider.Provider.get_global_provider",
            return_value=aws_provider,
        ):
            with mock.patch(
                "prowler.providers.aws.services.{service}.{check_name}.{check_name}.{service}_client",
                new={ServiceClass}(aws_provider),
            ):
                from prowler.providers.aws.services.{service}.{check_name}.{check_name} import (
                    {check_name},
                )

                check = {check_name}()
                result = check.execute()

                assert len(result) == 0

    @mock_aws
    def test_{check_name}_pass(self):
        # Setup AWS resources with moto
        {service}_client = client("{service}", region_name=AWS_REGION_US_EAST_1)
        # Create compliant resource...

        from prowler.providers.aws.services.{service}.{service}_service import {ServiceClass}

        aws_provider = set_mocked_aws_provider([AWS_REGION_US_EAST_1])

        with mock.patch(
            "prowler.providers.common.provider.Provider.get_global_provider",
            return_value=aws_provider,
        ):
            with mock.patch(
                "prowler.providers.aws.services.{service}.{check_name}.{check_name}.{service}_client",
                new={ServiceClass}(aws_provider),
            ):
                from prowler.providers.aws.services.{service}.{check_name}.{check_name} import (
                    {check_name},
                )

                check = {check_name}()
                result = check.execute()

                assert len(result) == 1
                assert result[0].status == "PASS"

    @mock_aws
    def test_{check_name}_fail(self):
        # Setup AWS resources with moto
        {service}_client = client("{service}", region_name=AWS_REGION_US_EAST_1)
        # Create non-compliant resource...

        from prowler.providers.aws.services.{service}.{service}_service import {ServiceClass}

        aws_provider = set_mocked_aws_provider([AWS_REGION_US_EAST_1])

        with mock.patch(
            "prowler.providers.common.provider.Provider.get_global_provider",
            return_value=aws_provider,
        ):
            with mock.patch(
                "prowler.providers.aws.services.{service}.{check_name}.{check_name}.{service}_client",
                new={ServiceClass}(aws_provider),
            ):
                from prowler.providers.aws.services.{service}.{check_name}.{check_name} import (
                    {check_name},
                )

                check = {check_name}()
                result = check.execute()

                assert len(result) == 1
                assert result[0].status == "FAIL"

Critical: Always import the check INSIDE the mock.patch context to ensure proper client mocking.


Azure Check Test Pattern

NO moto decorator. Use MagicMock to mock the service client directly.

python
from unittest import mock
from uuid import uuid4

from prowler.providers.azure.services.{service}.{service}_service import {ResourceModel}
from tests.providers.azure.azure_fixtures import (
    AZURE_SUBSCRIPTION_ID,
    set_mocked_azure_provider,
)


class Test_{check_name}:
    def test_no_resources(self):
        {service}_client = mock.MagicMock
        {service}_client.{resources} = {}

        with (
            mock.patch(
                "prowler.providers.common.provider.Provider.get_global_provider",
                return_value=set_mocked_azure_provider(),
            ),
            mock.patch(
                "prowler.providers.azure.services.{service}.{check_name}.{check_name}.{service}_client",
                new={service}_client,
            ),
        ):
            from prowler.providers.azure.services.{service}.{check_name}.{check_name} import (
                {check_name},
            )

            check = {check_name}()
            result = check.execute()
            assert len(result) == 0

    def test_{check_name}_pass(self):
        resource_id = str(uuid4())
        resource_name = "Test Resource"

        {service}_client = mock.MagicMock
        {service}_client.{resources} = {
            AZURE_SUBSCRIPTION_ID: {
                resource_id: {ResourceModel}(
                    id=resource_id,
                    name=resource_name,
                    location="westeurope",
                    # ... compliant attributes
                )
            }
        }

        with (
            mock.patch(
                "prowler.providers.common.provider.Provider.get_global_provider",
                return_value=set_mocked_azure_provider(),
            ),
            mock.patch(
                "prowler.providers.azure.services.{service}.{check_name}.{check_name}.{service}_client",
                new={service}_client,
            ),
        ):
            from prowler.providers.azure.services.{service}.{check_name}.{check_name} import (
                {check_name},
            )

            check = {check_name}()
            result = check.execute()

            assert len(result) == 1
            assert result[0].status == "PASS"
            assert result[0].subscription == AZURE_SUBSCRIPTION_ID
            assert result[0].resource_name == resource_name

    def test_{check_name}_fail(self):
        resource_id = str(uuid4())
        resource_name = "Test Resource"

        {service}_client = mock.MagicMock
        {service}_client.{resources} = {
            AZURE_SUBSCRIPTION_ID: {
                resource_id: {ResourceModel}(
                    id=resource_id,
                    name=resource_name,
                    location="westeurope",
                    # ... non-compliant attributes
                )
            }
        }

        with (
            mock.patch(
                "prowler.providers.common.provider.Provider.get_global_provider",
                return_value=set_mocked_azure_provider(),
            ),
            mock.patch(
                "prowler.providers.azure.services.{service}.{check_name}.{check_name}.{service}_client",
                new={service}_client,
            ),
        ):
            from prowler.providers.azure.services.{service}.{check_name}.{check_name} import (
                {check_name},
            )

            check = {check_name}()
            result = check.execute()

            assert len(result) == 1
            assert result[0].status == "FAIL"

GCP/Kubernetes/Other Providers

Follow the same MagicMock pattern as Azure:

python
from tests.providers.gcp.gcp_fixtures import set_mocked_gcp_provider, GCP_PROJECT_ID
from tests.providers.kubernetes.kubernetes_fixtures import set_mocked_kubernetes_provider

Key difference: Each provider has its own fixtures file with set_mocked_{provider}_provider.


Provider Fixtures Reference

ProviderFixtures FileKey Constants
AWStests/providers/aws/utils.pyAWS_REGION_US_EAST_1, AWS_ACCOUNT_NUMBER
Azuretests/providers/azure/azure_fixtures.pyAZURE_SUBSCRIPTION_ID
GCPtests/providers/gcp/gcp_fixtures.pyGCP_PROJECT_ID
K8stests/providers/kubernetes/kubernetes_fixtures.py-

Test File Structure

text
tests/providers/{provider}/services/{service}/
├── {service}_service_test.py      # Service tests
└── {check_name}/
    └── {check_name}_test.py       # Check tests

NOTE: Do not create a __init__.py file in the test folder.


Required Test Scenarios

Every check MUST test:

ScenarioExpected
Resource compliantstatus == "PASS"
Resource non-compliantstatus == "FAIL"
No resourceslen(results) == 0

Assertions to Include

python
# Always verify these
assert result[0].status == "PASS"  # or "FAIL"
assert result[0].status_extended == "Expected message..."
assert result[0].resource_id == expected_id
assert result[0].resource_name == expected_name

# Provider-specific
assert result[0].region == "us-east-1"           # AWS
assert result[0].subscription == AZURE_SUBSCRIPTION_ID  # Azure
assert result[0].project_id == GCP_PROJECT_ID    # GCP

Commands

bash
# All SDK tests
uv run pytest -n auto -vvv tests/

# Specific provider
uv run pytest tests/providers/{provider}/ -v

# Specific check
uv run pytest tests/providers/{provider}/services/{service}/{check_name}/ -v

# Stop on first failure
uv run pytest -x tests/

Resources

  • Templates: See assets/ for complete test templates (AWS with moto, Azure/GCP with MagicMock)
  • Documentation: See references/testing-docs.md for official Prowler Developer Guide links

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Prowler Test Sdk AI skill do?

Testing patterns for Prowler SDK (Python). Trigger: When writing tests for the Prowler SDK (checks/services/providers), including provider-specific mocking rules (moto for AWS only).

Why use Prowler Test Sdk on TypingMind?

Because you install it once and use it with any model. Prowler Test Sdk is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Prowler Test Sdk in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/prowler-cloud/prowler/tree/master/skills/prowler-test-sdk. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Prowler Test Sdk?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Prowler Test Sdk?

As many as you like. As long as a model supports skills, you can use Prowler Test Sdk with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Prowler Test Sdk AI skill free?

Yes. It is published on GitHub by prowler-cloud under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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