Infrastructure

Organization

transilienceai

infrastructure

Network infrastructure testing - port scanning, DNS attacks, MITM, VLAN hopping, IPv6, SMB/NetBIOS, sniffing, and DoS assessment.

Overview

Publisher	transilienceai
Repository	`communitytools`
Skill name	`infrastructure`
Stars	565
Forks	81
Bundled files	49
License	MIT
Links	Skill source Repository Homepage

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.
49 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by transilienceai on GitHub. Read the source before you install it.

Installation

Install the Infrastructure AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/transilienceai/communitytools/tree/main/skills/infrastructure
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.

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/transilienceai/communitytools.git /tmp/communitytools
mkdir -p .claude/skills
cp -r /tmp/communitytools/skills/infrastructure .claude/skills/infrastructure

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Infrastructure 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 Infrastructure 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 Infrastructure 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.

Infrastructure

Test network infrastructure for vulnerabilities including network services, protocols, and perimeter security.

Techniques

Type	Key Vectors
Port Scanning	SYN scan, UDP scan, service detection, OS fingerprinting
DNS	Zone transfers, cache poisoning, subdomain takeover, DNS rebinding
MITM	ARP spoofing, DNS spoofing, SSL stripping, LLMNR/NBT-NS poisoning
VLAN Hopping	Switch spoofing, double tagging
IPv6	RA flooding, neighbor spoofing, tunneling attacks
SMB/NetBIOS	Null sessions, relay attacks, enumeration
Sniffing	Packet capture, credential harvesting, protocol analysis
DoS	Resource exhaustion, amplification, application-layer
ICS/SCADA	Modbus TCP, PLC exploitation, coil/register manipulation, session hijacking
Space / CCSDS	Satellite telecommand framing (Space Packet + TC Transfer Frame), APID/SCID/VCID routing, VCFC sequencing, CRC-16/CCITT, ASCII `0x%02x:` command counters
UPnP / IoT / CPE	rootDesc/SCPD enumeration, vendor SOAP info disclosure (`GetPassword`), command injection via vendor actions, cross-action auth-key reuse
Hardware / Embedded	Logic captures (Saleae `.sal`), CAN/UART decoding, side-channel password recovery, legacy CPU errata, i386 tools via docker

Workflow

Network discovery and topology mapping
Port scanning and service enumeration
Protocol-specific vulnerability testing
Network attack execution (authorized scope only)
Evidence capture with packet captures and logs

Reference

Quickstart guides (per attack type):

reference/port-scanning-quickstart.md - Port scanning and service discovery
reference/dns-quickstart.md - DNS attacks and enumeration
reference/mitm-quickstart.md - Man-in-the-middle attacks
reference/vlan-hopping-quickstart.md - VLAN hopping techniques
reference/ipv6-quickstart.md - IPv6 attack vectors
reference/smb-netbios-quickstart.md - SMB/NetBIOS exploitation
reference/sniffing-quickstart.md - Network sniffing and capture
reference/dos-quickstart.md - DoS assessment
reference/ics-modbus-quickstart.md - ICS/SCADA Modbus PLC exploitation
reference/ccsds-space-telecommand-quickstart.md - Satellite CCSDS telecommand frame crafting (Space Packet + TC Transfer Frame)
reference/upnp-iot-quickstart.md - UPnP / IoT / CPE firmware web UI enumeration and exploitation
reference/hardware-embedded-quickstart.md - Logic captures, CAN/UART decoding, side-channel char-by-char recovery, legacy CPU bugs (6502), i386 tooling on ARM macOS

Scan techniques: reference/syn-scan.md, reference/udp-scan.md, reference/icmp-scan.md, reference/os-fingerprint.md Other: reference/firewall-detection.md, reference/service-enum.md, reference/ip-reputation.md, reference/overview.md

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 Infrastructure AI skill do?

Network infrastructure testing - port scanning, DNS attacks, MITM, VLAN hopping, IPv6, SMB/NetBIOS, sniffing, and DoS assessment.

Why use Infrastructure on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/transilienceai/communitytools/tree/main/skills/infrastructure. 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 Infrastructure?

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 Infrastructure?

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

Is the Infrastructure AI skill free?

Yes. It is published on GitHub by transilienceai under the MIT 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Infrastructure

Techniques

Workflow

Reference

Bundled files

Frequently asked questions

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