Evo Pcap Analysis

Community

Zhang-Henry

evo-pcap-analysis

Analyze PCAP files to compute network statistics and fill a CSV template. Dynamically discovers metrics from the template and resolves them from computed data. Use when given a packets.pcap and a stats CSV template to fill.

Overview

Publisher	Zhang-Henry
Repository	`CoEvoSkills`
Skill name	`evo-pcap-analysis`
Stars	83
Forks	9
Bundled files	1
License	Apache-2.0
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 Zhang-Henry on GitHub. Read the source before you install it.

Installation

Install the Evo Pcap Analysis 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/Zhang-Henry/CoEvoSkills/tree/main/artifacts/skills/dapt-intrusion-detection/evo-pcap-analysis
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/Zhang-Henry/CoEvoSkills/tree/main/artifacts/skills/dapt-intrusion-detection/evo-pcap-analysis

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/Zhang-Henry/CoEvoSkills.git /tmp/CoEvoSkills
mkdir -p .claude/skills
cp -r /tmp/CoEvoSkills/artifacts/skills/dapt-intrusion-detection/evo-pcap-analysis .claude/skills/evo-pcap-analysis

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

Use it in TypingMind

Enable Evo Pcap Analysis 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 Evo Pcap Analysis 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 Evo Pcap Analysis 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.

PCAP Network Statistics Analysis

This skill analyzes PCAP files and fills a CSV template with computed network statistics. Metric names are discovered from the template at runtime - no hardcoded metric names.

Quick Start

python
import sys
sys.path.insert(0, '/app/environment/skills/evo-pcap-analysis/scripts')
from pcap_stats import run_end_to_end

pcap_path = '/root/packets.pcap'
template_path = '/root/network_stats.csv'
output_path = '/root/network_stats.csv'

results, ok = run_end_to_end(pcap_path, template_path, output_path)
if not ok:
    print("Validation failed!")
else:
    print("Done - all metrics filled")

Architecture

load_packets(path) - Load PCAP with Scapy (handles VLAN, tunnels)
count_protocols(packets) - Independent layer checks per protocol
compute_rate_buckets(timestamps, bucket_size) - Relative time bucketing
compute_size_stats(packets) - Full frame length stats
shannon_entropy(values) - Shannon entropy in bits
compute_graph(packets) - Directed IP graph topology
compute_iat(timestamps) - Inter-arrival time with population variance
compute_pcr(packets) - Producer/Consumer ratio per IP
compute_flows(packets) - 5-tuple flow analysis
detect_port_scan(packets) - Converging evidence detection
detect_dos(buckets) - Rate spike detection
detect_beaconing(iat_stats) - Low CV detection
resolve_metric(name, computed) - Dynamic name-to-value resolution
analyze_and_resolve(pcap, template) - Full pipeline with template discovery
validate_csv(path) - Check all template lines have values

Bundled files

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

scripts/pcap_stats.py13 KB

Frequently asked questions

What does the Evo Pcap Analysis AI skill do?

Why use Evo Pcap Analysis on TypingMind?

Because you install it once and use it with any model. Evo Pcap Analysis 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 Evo Pcap Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Zhang-Henry/CoEvoSkills/tree/main/artifacts/skills/dapt-intrusion-detection/evo-pcap-analysis. 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 Evo Pcap Analysis?

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 Evo Pcap Analysis?

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

Is the Evo Pcap Analysis AI skill free?

Yes. It is published on GitHub by Zhang-Henry 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

PCAP Network Statistics Analysis

Quick Start

Architecture

Bundled files

Frequently asked questions

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