Network Acls logo

Network Acls

Organization
RedHatProductSecurity
network-acls

Enforce network ACLs for external data source access in AI systems. Use when designing, configuring, or reviewing network security for connections between AI components and external databases or data services.

Overview

PublisherRedHatProductSecurity
Repositoryprodsec-skills
Skill namenetwork-acls
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 Network Acls 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/module/skills/network-acls
  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/module/skills/network-acls .claude/skills/network-acls
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Network Acls 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 Network Acls 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 Network Acls 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.

Network ACLs for External Data Sources

Security Recommendation

If access to external data sources will come from specific known sources, network ACLs SHOULD be implemented to allow access only from those known sources. This provides a network-level defense-in-depth layer on top of authentication and authorization.

Defense-in-Depth Value

Network ACLs complement authentication and authorization by restricting which network locations can even attempt to connect:

Network ACLs (can this source IP/network connect at all?)
  → Authentication (is this principal who they claim to be?)
    → Authorization (does this principal have permission?)
      → Data access (execute the query/operation)

Even if credentials are compromised, network ACLs prevent their use from unauthorized network locations.

ACL Strategies

StrategyDescription
IP allowlistAllow connections only from specific IP addresses or CIDR ranges
Security groupsCloud-native network rules scoped to specific resources
Network policiesKubernetes NetworkPolicy restricting pod-to-pod and egress traffic
Service meshIstio/Envoy authorization policies based on workload identity
Firewall rulesTraditional firewall rules at the network perimeter

Network Encryption and Exposure

  • It should be possible to encrypt all network communications, both internal and external
  • For cloud services, all network communications (internal and external) must be encrypted
  • Endpoints that do not need to be exposed to the Internet must not be public-facing
  • All TCP and UDP ports that are not required must be closed by default

Implementation Checklist

  • Identify all AI system components that need to access each external data source
  • Document the source IP ranges or network identities for each component
  • Configure network ACLs on the data source to allow only those known sources
  • Default to deny-all, then explicitly allow required connections
  • Use Kubernetes NetworkPolicy if running in Kubernetes
  • Use cloud security groups if running in cloud infrastructure
  • Regularly audit network ACLs and remove stale entries
  • Monitor for connection attempts from unauthorized sources
  • All network communications are encrypted (TLS) or encryption is configurable
  • Non-Internet-facing endpoints are not publicly exposed
  • Unused TCP/UDP ports are closed by default

Frequently asked questions

What does the Network Acls AI skill do?

Enforce network ACLs for external data source access in AI systems. Use when designing, configuring, or reviewing network security for connections between AI components and external databases or data services.

Why use Network Acls on TypingMind?

Because you install it once and use it with any model. Network Acls 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 Network Acls in TypingMind?

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

Which AI models can use Network Acls?

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 Network Acls?

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

Is the Network Acls 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇