Prowler Readme Table logo

Prowler Readme Table

OrganizationPopular
prowler-cloud
prowler-readme-table

Updates the "Prowler at a Glance" table in README.md with accurate provider statistics. Trigger: When updating README.md provider stats, checks count, services count, compliance frameworks, or categories.

Overview

Publisherprowler-cloud
Repositoryprowler
Skill nameprowler-readme-table
Stars
14.8K
Forks
2.4K
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Prowler Readme Table 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-readme-table .claude/skills/prowler-readme-table
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prowler Readme Table 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 Readme Table 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 Readme Table 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 updating the Prowler at a Glance table in the root README.md. This table tracks the number of checks, services, compliance frameworks, and categories for each supported provider.

Procedure

Step 1: Collect Stats via CLI

Run the following command for each provider and each metric:

bash
python3 prowler-cli.py <provider> --list-<metric>

Providers: aws, azure, gcp, kubernetes, github, m365, oraclecloud, alibabacloud, cloudflare, mongodbatlas, openstack, nhn

Metrics: checks, services, compliance, categories

The CLI output ends with a summary line like:

text
There are 572 available checks.
There is 1 available Compliance Framework.

Extract the number from the summary line. Note that singular results use "There is" instead of "There are".

Step 2: Batch Extraction

Use this one-liner to collect all stats at once (handles both singular and plural output):

bash
for provider in aws azure gcp kubernetes github m365 oraclecloud alibabacloud cloudflare mongodbatlas openstack nhn; do
  for metric in checks services compliance categories; do
    result=$(python3 prowler-cli.py $provider --list-$metric 2>&1 | sed -n 's/.*There \(are\|is\) .*\x1b\[33m\([0-9]*\)\x1b\[0m.*/\2/p')
    echo "$provider $metric: $result"
  done
done

Step 3: Update the Table

Edit the table in README.md (located in the # Prowler at a Glance section) with the collected numbers.

Table format:

markdown
| Provider | Checks | Services | [Compliance Frameworks](...) | [Categories](...) | Support | Interface |
|---|---|---|---|---|---|---|
| AWS | 572 | 83 | 41 | 17 | Official | UI, API, CLI |

Provider Name Mapping

CLI ProviderTable Display Name
awsAWS
azureAzure
gcpGCP
kubernetesKubernetes
githubGitHub
m365M365
oraclecloudOCI
alibabacloudAlibaba Cloud
cloudflareCloudflare
mongodbatlasMongoDB Atlas
openstackOpenStack
nhnNHN

Special Rows (No CLI stats)

These providers delegate to external tools and do NOT use CLI stats:

ProviderChecks ColumnServicesComplianceCategories
IaC[See trivy docs.](https://trivy.dev/latest/docs/coverage/iac/)N/AN/AN/A
LLM[See promptfoo docs.](https://www.promptfoo.dev/docs/red-team/plugins/)N/AN/AN/A

Support and Interface Columns

  • Support: Official for all providers except NHN which is Unofficial
  • Interface: Most providers use UI, API, CLI. Exceptions with CLI only: Cloudflare, OpenStack, NHN, LLM

Rules

  • ALWAYS use the CLI (python3 prowler-cli.py) to obtain numbers. Do NOT count files manually.
  • NEVER commit changes unless explicitly asked.
  • NEVER modify the IaC or LLM rows (they link to external docs).
  • Verify the CLI is working by running one provider first before batch-processing all.

Resources

  • CLI entry point: prowler-cli.py in the repository root
  • Table location: README.md, section # Prowler at a Glance (around line 100)

Frequently asked questions

What does the Prowler Readme Table AI skill do?

Updates the "Prowler at a Glance" table in README.md with accurate provider statistics. Trigger: When updating README.md provider stats, checks count, services count, compliance frameworks, or categories.

Why use Prowler Readme Table on TypingMind?

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

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

Which AI models can use Prowler Readme Table?

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 Readme Table?

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

Is the Prowler Readme Table 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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