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Network Tools

Community
chaterm
network-tools

Linux network tools and diagnostics

Overview

Publisherchaterm
Repositoryterminal-skills
Skill namenetwork-tools
Stars
59
Forks
12
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 chaterm on GitHub. Read the source before you install it.

Installation

Install the Network Tools 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/chaterm/terminal-skills/tree/main/linux/network-tools
  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/chaterm/terminal-skills.git /tmp/terminal-skills
mkdir -p .claude/skills
cp -r /tmp/terminal-skills/linux/network-tools .claude/skills/network-tools
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Network Tools 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 Tools 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 Tools 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 Tools and Diagnostics

Overview

Linux network diagnostics, port scanning, traffic analysis and other tool usage skills.

Network Configuration

View Configuration

bash
# IP address
ip addr
ip a
ifconfig                            # Legacy command

# Routing table
ip route
route -n
netstat -rn

# DNS configuration
cat /etc/resolv.conf
systemd-resolve --status

Configure Network

bash
# Temporary IP configuration
ip addr add 192.168.1.100/24 dev eth0
ip addr del 192.168.1.100/24 dev eth0

# Enable/Disable interface
ip link set eth0 up
ip link set eth0 down

# Add route
ip route add 10.0.0.0/8 via 192.168.1.1
ip route del 10.0.0.0/8

Connectivity Testing

ping

bash
ping hostname
ping -c 4 hostname                  # Send 4 packets
ping -i 0.2 hostname                # 0.2 second interval
ping -s 1000 hostname               # Specify packet size

traceroute

bash
traceroute hostname
traceroute -n hostname              # Don't resolve hostnames
traceroute -T hostname              # Use TCP
mtr hostname                        # Real-time trace

DNS Query

bash
nslookup hostname
dig hostname
dig +short hostname
dig @8.8.8.8 hostname               # Specify DNS server
host hostname

Ports and Connections

ss Command (Recommended)

bash
# Listening ports
ss -tlnp                            # TCP listening
ss -ulnp                            # UDP listening
ss -tlnp | grep :80

# All connections
ss -tanp                            # TCP connections
ss -s                               # Statistics

# Filter
ss -t state established
ss -t dst 192.168.1.1
ss -t sport = :80

netstat Command

bash
netstat -tlnp                       # TCP listening
netstat -ulnp                       # UDP listening
netstat -anp                        # All connections
netstat -s                          # Statistics

lsof Network

bash
lsof -i                             # All network connections
lsof -i :80                         # Specific port
lsof -i tcp                         # TCP connections
lsof -i @192.168.1.1                # Specific host

HTTP Tools

curl

bash
# Basic request
curl http://example.com
curl -I http://example.com          # Headers only
curl -v http://example.com          # Verbose output

# POST request
curl -X POST -d "data=value" http://example.com
curl -X POST -H "Content-Type: application/json" -d '{"key":"value"}' http://example.com

# Download
curl -O http://example.com/file.zip
curl -o output.zip http://example.com/file.zip

# Authentication
curl -u user:pass http://example.com
curl -H "Authorization: Bearer token" http://example.com

wget

bash
wget http://example.com/file.zip
wget -c http://example.com/file.zip # Resume download
wget -r http://example.com          # Recursive download
wget --mirror http://example.com    # Mirror site

Packet Capture

tcpdump

bash
# Basic capture
tcpdump -i eth0
tcpdump -i any

# Filter
tcpdump -i eth0 port 80
tcpdump -i eth0 host 192.168.1.1
tcpdump -i eth0 'tcp port 80 and host 192.168.1.1'

# Save/Read
tcpdump -i eth0 -w capture.pcap
tcpdump -r capture.pcap

# Display content
tcpdump -i eth0 -A port 80          # ASCII
tcpdump -i eth0 -X port 80          # Hexadecimal

Traffic Monitoring

bash
# Real-time traffic
iftop
iftop -i eth0

# By process
nethogs
nethogs eth0

# Bandwidth test
iperf3 -s                           # Server
iperf3 -c server_ip                 # Client

Common Scenarios

Scenario 1: Troubleshoot Port Usage

bash
# Check port usage
ss -tlnp | grep :8080
lsof -i :8080

# Find process and handle
kill -9 PID
# Or
fuser -k 8080/tcp

Scenario 2: Test Service Connectivity

bash
# TCP port test
nc -zv hostname 80
telnet hostname 80

# HTTP service test
curl -I http://hostname
curl -w "HTTP Code: %{http_code}\nTime: %{time_total}s\n" -o /dev/null -s http://hostname

Scenario 3: Network Performance Diagnosis

bash
# Latency test
ping -c 100 hostname | tail -1

# Route analysis
mtr --report hostname

# Bandwidth test
iperf3 -c server -t 30

Troubleshooting

ProblemSolution
Network unreachableping, traceroute, check routing
DNS resolution faileddig, nslookup, check resolv.conf
Port unreachabless -tlnp, check firewall
Connection timeoutmtr, tcpdump packet capture
Insufficient bandwidthiftop, iperf3 test

Frequently asked questions

What does the Network Tools AI skill do?

Linux network tools and diagnostics

Why use Network Tools on TypingMind?

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

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

Which AI models can use Network Tools?

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 Tools?

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

Is the Network Tools AI skill free?

Yes. It is published on GitHub by chaterm 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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