Secure By Design logo

Secure By Design

Organization
RedHatProductSecurity
secure-by-design

Apply Secure by Design, by Default, and in Deployment (SD3) principles. Use when reviewing default configurations, setup processes, update mechanisms, or evaluating whether a system fails open or closed.

Overview

PublisherRedHatProductSecurity
Repositoryprodsec-skills
Skill namesecure-by-design
Stars
56
Forks
9
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 RedHatProductSecurity on GitHub. Read the source before you install it.

Installation

Install the Secure By Design 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.
    https://github.com/RedHatProductSecurity/prodsec-skills/tree/main/ge-core/secure-by-design
  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/RedHatProductSecurity/prodsec-skills.git /tmp/prodsec-skills
mkdir -p .claude/skills
cp -r /tmp/prodsec-skills/ge-core/secure-by-design .claude/skills/secure-by-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Secure By Design 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 Secure By Design 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 Secure By Design 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.

Secure by Design, by Default, in Deployment (SD3)

Principle: The default settings of a system or application are configured with strong security measures in place. Systems should be configured in a least-privilege model so that no unnecessary services, daemons, or accounts are enabled.

Secure Default Configurations

  • Ship products with secure defaults that protect users without requiring manual hardening
  • Generate unique keys and secrets during first run or installation, not at build time
  • Encourage users to review and customize settings, but ensure the uncustomized state is safe
  • Minimizes risk from users or administrators who overlook or delay security configuration

Fail Secure

  • Design services to fail closed: when they fail, they deny access rather than granting it
  • A security service that cannot be reached must result in a denied request, not an open door
  • Apply this to authentication, authorization, input validation, and configuration loading

Secure Baselines

  • Create server and application security baselines as reference configurations
  • Deploy new systems from these baselines to ensure consistency
  • Systems adhering to baselines are less vulnerable and require less ongoing maintenance

Encryption and Authentication by Default

  • Enable encryption (TLS) and authentication by default, not as opt-in features
  • Use HTTPS as the default communication protocol
  • Protect data in transit and at rest as a baseline, not an upgrade

No Hardcoded Credentials

  • Never use hard-coded secrets, default passwords, or static account credentials in code
  • Generate unique credentials at deployment time
  • Use secrets management systems (Vault, AWS Secrets Manager, etc.)

Default Deny Policies

  • Only explicitly allowed actions are permitted
  • No unnecessary services, daemons, or network ports are enabled
  • Default network policies deny all traffic; allow rules are added explicitly

Code Integrity and Updates

  • Use digital signatures and cryptographic hashes to verify the integrity and authenticity of software updates
  • Implement automated update mechanisms to reduce the window of vulnerability
  • Test patches thoroughly before deployment
  • Secure the update infrastructure itself with access controls and monitoring

Implementation Checklist

  • Default configuration is secure without manual hardening
  • Unique secrets are generated at first run or installation (not hardcoded)
  • Service failures result in denied access (fail closed), not open access
  • TLS and authentication are enabled by default
  • HTTPS is the default protocol for all communication
  • No hardcoded credentials exist in the codebase
  • Default network policies deny all traffic; allow rules are explicit
  • Unnecessary services, ports, and accounts are disabled by default
  • Software updates are signed and verified before installation
  • Update infrastructure is secured with access controls and monitoring
  • Security baselines exist and new deployments are built from them

Frequently asked questions

What does the Secure By Design AI skill do?

Apply Secure by Design, by Default, and in Deployment (SD3) principles. Use when reviewing default configurations, setup processes, update mechanisms, or evaluating whether a system fails open or closed.

Why use Secure By Design on TypingMind?

Because you install it once and use it with any model. Secure By Design 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 Secure By Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RedHatProductSecurity/prodsec-skills/tree/main/ge-core/secure-by-design. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Secure By Design?

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 Secure By Design?

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

Is the Secure By Design AI skill free?

Yes. It is published on GitHub by RedHatProductSecurity 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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