Network Packet Lab

Community

mingchen666

network-packet-lab

Use this skill whenever the user asks about Wireshark, tcpdump, packet capture, pcap analysis, HTTP/DNS/TCP/DHCP/TLS capture interpretation, network lab reports, protocol fields observed in packets, or troubleshooting packet flows for learning and coursework.

Overview

Publisher	mingchen666
Repository	`Reviva`
Skill name	`network-packet-lab`
Stars	293
Forks	31
Bundled files	1
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by mingchen666 on GitHub. Read the source before you install it.

Installation

Install the Network Packet Lab 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/mingchen666/Reviva/tree/main/electron/builtin-assets/skills/network-packet-lab
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/mingchen666/Reviva/tree/main/electron/builtin-assets/skills/network-packet-lab

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/mingchen666/Reviva.git /tmp/Reviva
mkdir -p .claude/skills
cp -r /tmp/Reviva/electron/builtin-assets/skills/network-packet-lab .claude/skills/network-packet-lab

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

Use it in TypingMind

Enable Network Packet Lab 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 Packet Lab 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 Packet Lab 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 Packet Lab Skill

Guide safe, educational packet capture labs and capture interpretation. Focus on what the packet shows, why it appears, and how it proves the protocol mechanism.

When To Use

Use this skill for:

explaining a Wireshark screenshot, exported text, CSV, or pcap summary;
designing labs for DNS lookup, TCP handshake, HTTP request/response, DHCP, ARP, ICMP ping, TLS handshake, routing path, NAT observation;
writing lab reports from user-provided observations;
diagnosing learning-level connectivity problems such as DNS failure, wrong gateway, closed port, retransmission, or MTU symptoms.

Safety Boundary

Keep the work educational and defensive.
Do not provide instructions for unauthorized scanning, exploitation, credential capture, session hijacking, bypassing security controls, or stealth.
If a lab involves a live network, tell the user to use their own device, local VM, school lab environment, or explicitly authorized network.

Capture Analysis Workflow

Identify the protocol and layer.
Extract key fields: endpoints, ports, sequence/ack numbers, flags, TTL, IDs, query names, status codes, certificates, or options.
Reconstruct the timeline.
Explain what each packet proves.
Tie the observation back to the concept.
Produce a lab report or visual summary if useful.

Lab Report Template

markdown
# [Protocol] Packet Capture Lab

## Objective
[What concept the lab proves.]

## Environment
- Client:
- Server:
- Tool:
- Filter:

## Procedure
1. ...

## Key Observations
| Step | Packet/Field | Meaning |
|---|---|---|

## Protocol Explanation
[Explain the mechanism shown by the capture.]

## Common Errors
- ...

## Conclusion
[What the student should remember.]

Helpful Display Filters

Give filters as learning aids, not as attack instructions:

DNS: dns
TCP handshake: tcp.flags.syn == 1 || tcp.flags.ack == 1
HTTP: http
TLS: tls
DHCP: bootp
ARP: arp
ICMP: icmp

Coordination

Use network-protocol-viz to turn the reconstructed packet timeline into an HTML animation.
Use computer-network-learning to explain prerequisite concepts.
Use network-exam-practice to turn the lab into questions after the explanation.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

config.json1 KB

Frequently asked questions

What does the Network Packet Lab AI skill do?

Why use Network Packet Lab on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mingchen666/Reviva/tree/main/electron/builtin-assets/skills/network-packet-lab. 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 Network Packet Lab?

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 Packet Lab?

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

Is the Network Packet Lab AI skill free?

It is published on GitHub by mingchen666. Check the repository for licensing terms. 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

Network Packet Lab Skill

When To Use

Safety Boundary

Capture Analysis Workflow

Lab Report Template

Helpful Display Filters

Coordination

Bundled files

Frequently asked questions

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