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Prowler Provider

OrganizationPopular
prowler-cloud
prowler-provider

Creates new Prowler cloud providers or adds services to existing providers. Trigger: When extending Prowler SDK provider architecture (adding a new provider or a new service to an existing provider).

Overview

Publisherprowler-cloud
Repositoryprowler
Skill nameprowler-provider
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 Provider 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-provider .claude/skills/prowler-provider
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prowler Provider 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 Provider 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 Provider 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.

When to Use

Use this skill when:

  • Adding a new cloud provider to Prowler
  • Adding a new service to an existing provider
  • Understanding the provider architecture pattern

Provider Architecture Pattern

Every provider MUST follow this structure:

text
prowler/providers/{provider}/
├── __init__.py
├── {provider}_provider.py      # Main provider class
├── models.py                   # Provider-specific models
├── config.py                   # Provider configuration
├── exceptions/                 # Provider-specific exceptions
├── lib/
│   ├── service/               # Base service class
│   ├── arguments/             # CLI arguments parser
│   └── mutelist/              # Mutelist functionality
└── services/
    └── {service}/
        ├── {service}_service.py   # Resource fetcher
        ├── {service}_client.py    # Python singleton instance
        └── {check_name}/          # Individual checks
            ├── {check_name}.py
            └── {check_name}.metadata.json

Sensitive CLI Arguments

Flags that accept secrets (tokens, passwords, API keys) MUST follow these rules:

  1. Use nargs="?" with default=None — the flag accepts an optional value for backward compatibility; the recommended path is environment variables.
  2. Set metavar to the environment variable name users should use (e.g., metavar="GITHUB_PERSONAL_ACCESS_TOKEN").
  3. Add the flag to the SENSITIVE_ARGUMENTS frozenset at the top of the provider's arguments.py. This set is used to redact values in HTML output and warn users who pass secrets directly.
  4. Do not add new arguments that require passing secrets as CLI values — secrets should come from environment variables. The flag accepts a value for backward compatibility, but CLI warns users to prefer env vars.

Pattern

python
# prowler/providers/{provider}/lib/arguments/arguments.py

SENSITIVE_ARGUMENTS = frozenset({"--my-api-key", "--my-password"})


def init_parser(self):
    auth_subparser = parser.add_argument_group("Authentication Modes")
    auth_subparser.add_argument(
        "--my-api-key",
        nargs="?",
        default=None,
        metavar="MY_API_KEY",
        help="API key for authentication. Use MY_API_KEY env var instead of passing directly.",
    )

Provider Class Template

python
from prowler.providers.common.provider import Provider

class {Provider}Provider(Provider):
    """Provider class for {Provider} cloud platform."""

    def __init__(self, arguments):
        super().__init__(arguments)
        self.session = self._setup_session(arguments)
        self.regions = self._get_regions()

    def _setup_session(self, arguments):
        """Provider-specific authentication."""
        # Implement credential handling
        pass

    def _get_regions(self):
        """Get available regions for provider."""
        # Return list of regions
        pass

Service Class Template

python
from prowler.providers.{provider}.lib.service.service import {Provider}Service

class {Service}({Provider}Service):
    """Service class for {service} resources."""

    def __init__(self, provider):
        super().__init__(provider)
        self.{resources} = []
        self._fetch_{resources}()

    def _fetch_{resources}(self):
        """Fetch {resource} data from API."""
        try:
            response = self.client.list_{resources}()
            for item in response:
                self.{resources}.append(
                    {Resource}(
                        id=item["id"],
                        name=item["name"],
                        region=item.get("region"),
                    )
                )
        except Exception as e:
            logger.error(f"Error fetching {resources}: {e}")

Service Client Template

python
from prowler.providers.{provider}.services.{service}.{service}_service import {Service}

{service}_client = {Service}

Supported Providers

Current providers:

  • AWS (Amazon Web Services)
  • Azure (Microsoft Azure)
  • GCP (Google Cloud Platform)
  • Kubernetes
  • GitHub
  • M365 (Microsoft 365)
  • OracleCloud (Oracle Cloud Infrastructure)
  • AlibabaCloud
  • Cloudflare
  • MongoDB Atlas
  • NHN (NHN Cloud)
  • LLM (Language Model providers)
  • IaC (Infrastructure as Code)

Commands

bash
# Run provider
uv run python prowler-cli.py {provider}

# List services for provider
uv run python prowler-cli.py {provider} --list-services

# List checks for provider
uv run python prowler-cli.py {provider} --list-checks

# Run specific service
uv run python prowler-cli.py {provider} --services {service}

# Debug mode
uv run python prowler-cli.py {provider} --log-level DEBUG

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 Provider AI skill do?

Creates new Prowler cloud providers or adds services to existing providers. Trigger: When extending Prowler SDK provider architecture (adding a new provider or a new service to an existing provider).

Why use Prowler Provider on TypingMind?

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

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

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 Provider?

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

Is the Prowler Provider 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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