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Prowler Test Api

OrganizationPopular
prowler-cloud
prowler-test-api

Testing patterns for Prowler API: JSON:API, Celery tasks, RLS isolation, RBAC. Trigger: When writing tests for api/ (JSON:API requests/assertions, cross-tenant isolation, RBAC, Celery tasks, viewsets/serializers).

Overview

Publisherprowler-cloud
Repositoryprowler
Skill nameprowler-test-api
Stars
14.8K
Forks
2.4K
Bundled files
2
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.

  • 2 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 Api 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-api .claude/skills/prowler-test-api
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prowler Test Api 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 Api 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 Api 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.

Critical Rules

  • ALWAYS use response.json()["data"] not response.data
  • ALWAYS use content_type = "application/vnd.api+json" for PATCH/PUT requests
  • ALWAYS use format="vnd.api+json" for POST requests
  • ALWAYS test cross-tenant isolation - RLS returns 404, NOT 403
  • NEVER skip RLS isolation tests when adding new endpoints
  • NEVER use realistic-looking API keys in tests (TruffleHog will flag them)
  • ALWAYS mock BOTH .delay() AND Task.objects.get for async task tests

1. Fixture Dependency Chain

text
create_test_user (session) ─► tenants_fixture (function) ─► authenticated_client
                                     └─► aws_provider ─► scans_fixture ─► findings_fixture

Key Fixtures

FixtureDescription
create_test_userSession user (dev@prowler.com)
tenants_fixture3 tenants: [0],[1] have membership, [2] isolated
authenticated_clientDjango test client with JWT for tenant[0]
authenticated_client_for_tenant_factoryCreates a Django test client with JWT for a specific user and tenant
provider_factoryCreates one validated provider with provider-specific defaults
aws_provider1 AWS provider in tenant[0]
aws_provider_pair2 AWS providers in tenant[0]
all_provider_types_fixture1 provider for every supported provider type
tasks_fixture2 Celery tasks with TaskResult

RBAC Fixtures

FixturePermissions
authenticated_client_rbacAll permissions (admin)
authenticated_client_rbac_norolesMembership but NO roles
authenticated_client_no_permissions_rbacAll permissions = False

Use authenticated_client for normal view behavior tests. It uses a cheap JWT and still runs the real request authentication path. Use serializer-generated JWTs or API-key clients only when the test is specifically about token obtain/refresh, invalid tokens, expired tokens, tenant switching by token, API keys, or unauthenticated 401 behavior. Use authenticated_client_for_tenant_factory when a test needs a cheap JWT client for a different user or tenant.


2. JSON:API Requests

POST (Create)

python
response = client.post(
    reverse("provider-list"),
    data={"data": {"type": "providers", "attributes": {...}}},
    format="vnd.api+json",  # NOT content_type!
)

PATCH (Update)

python
response = client.patch(
    reverse("provider-detail", kwargs={"pk": provider.id}),
    data={"data": {"type": "providers", "id": str(provider.id), "attributes": {...}}},
    content_type="application/vnd.api+json",  # NOT format!
)

Reading Responses

python
data = response.json()["data"]
attrs = data["attributes"]
errors = response.json()["errors"]  # For 400 responses

3. RLS Isolation (Cross-Tenant)

RLS returns 404, NOT 403 - the resource is invisible, not forbidden.

python
def test_cross_tenant_access_denied(self, authenticated_client, tenants_fixture):
    other_tenant = tenants_fixture[2]  # Isolated tenant
    foreign_provider = Provider.objects.create(tenant_id=other_tenant.id, ...)

    response = authenticated_client.get(reverse("provider-detail", args=[foreign_provider.id]))
    assert response.status_code == status.HTTP_404_NOT_FOUND  # NOT 403!

4. Celery Task Testing

Testing Strategies

StrategyUse For
Mock .delay() + Task.objects.getTesting views that trigger tasks
task.apply()Synchronous task logic testing
Mock chain/groupTesting Canvas orchestration
Mock connectionTesting @set_tenant decorator
Mock apply_asyncTesting Beat scheduled tasks

Why NOT task_always_eager

ProblemImpact
No task serializationMisses argument type errors
No broker interactionHides connection issues
Different execution contextself.request behaves differently

Instead, use: task.apply() for sync execution, mocking for isolation.

Full examples: See assets/api_test.py for TestCeleryTaskLogic, TestCeleryCanvas, TestSetTenantDecorator, TestBeatScheduling.


5. Fake Secrets (TruffleHog)

python
# BAD - TruffleHog flags these:
api_key = "sk-test1234567890T3BlbkFJtest1234567890"

# GOOD - obviously fake:
api_key = "sk-fake-test-key-for-unit-testing-only"

6. Response Status Codes

ScenarioCode
Successful GET200
Successful POST201
Async operation (DELETE/scan trigger)202
Sync DELETE204
Validation error400
Missing permission (RBAC)403
RLS isolation / not found404

Commands

bash
cd api && uv run pytest -x --tb=short
cd api && uv run pytest -k "test_provider"
cd api && uv run pytest api/src/backend/api/tests/test_rbac.py

Resources

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 Api AI skill do?

Testing patterns for Prowler API: JSON:API, Celery tasks, RLS isolation, RBAC. Trigger: When writing tests for api/ (JSON:API requests/assertions, cross-tenant isolation, RBAC, Celery tasks, viewsets/serializers).

Why use Prowler Test Api on TypingMind?

Because you install it once and use it with any model. Prowler Test Api 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 Api in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/prowler-cloud/prowler/tree/master/skills/prowler-test-api. 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 Api?

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 Api?

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

Is the Prowler Test Api 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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