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scapy network automation
Automate packet inspection, PCAP analysis, and network troubleshooting with robust Scapy-based Python scripts.
$5
Works with the AI tools you already use
scapy network automation
Example session with this skill installed
Write a Python script using Scapy to read a file named 'traffic.pcap', extract all unique source IP addresses that sent TCP traffic to port 443, and print a summary count.
- Read your context and instructions
- Compiled the scapy network automation
This script uses PcapReader to efficiently stream the capture file, identifies TCP packets destined for port 443, and aggregates unique source IP addresses.
TCP Port 443 Source Analyzer
from scapy.all import PcapReader, IP, TCP
from collections import Counter
def analyze_https_sources(pcap_file):
sources = Counter()
try:
# Use PcapReader for memory efficiency with large files
with PcapReader(pcap_file) as pcap:
for pkt in pcap:
# Safely check for required layers before access
if pkt.haslayer(IP) and pkt.haslayer(TCP):
if pkt[TCP].dport == 443:
sources[pkt[IP].src] += 1
print(f"{'Source IP':<20} | {'Packet Count':<12}")
print("-" * 35)
for ip, count in sources.most_common():
print(f"{ip:<20} | {count:<12}")
except FileNotFoundError:
print(f"Error: The file '{pcap_file}' was not found.")
except Exception as e:
print(f"An error occurred: {e}")
if __name__ == "__main__":
analyze_https_sources("traffic.pcap")
Next steps
- Ensure
scapyis installed viapip install scapy. - Replace
"traffic.pcap"with the actual path to your capture file. - To filter by a specific destination IP, add a check for
pkt[IP].dstinside the loop.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Writing reliable network automation scripts with Scapy is error-prone due to inconsistent protocol layer availability and complex packet structures. Manual packet analysis in Wireshark is difficult to scale for custom statistics or automated troubleshooting workflows.
What it does
- Generates complete Python scripts for packet crafting, sniffing, and PCAP analysis.
- Builds robust packet parsers using
haslayer()checks to prevent runtime exceptions. - Implements efficient PCAP processing using
PcapReaderfor large-scale data handling. - Converts network analysis requirements into reusable utilities for protocol exploration.
- Automates defensive monitoring and diagnostic workflows for local lab environments.
Frameworks & tools
Python 3, Scapy, PCAP/PCAPNG, BPF filters, and standard networking protocols (TCP, UDP, ICMP, DNS, DHCP, ARP).
Why this beats prompting it yourself
Generic AI models often hallucinate Scapy's complex layer indexing or forget to verify layer existence, leading to frequent attribute errors. This skill enforces defensive coding patterns, proper memory management for large captures, and correct usage of Layer 2 vs Layer 3 send methods.
Use cases
- Extract specific protocol fields or DNS queries from massive packet captures.
- Develop automated diagnostic tools to troubleshoot ARP or DHCP issues in a lab.
- Generate educational packet-layering demonstrations for protocol learning.
- Build custom network statistics dashboards from PCAP data.
Known limitations
Does not support destructive activity or unauthorized testing. Performance in WSL or certain virtualized environments may require specific driver configurations.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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Security scanned
Verified clean 28 days ago
- Passed all security checks, Safe to install