Capture and analyze network traffic for embedded devices with tshark.
npx skills add https://github.com/zhinkgit/embeddedskills --skill net-zhinkgit
Please help me install this Agent Skill. Skill: net Source: https://github.com/zhinkgit/embeddedskills/tree/main/net Command: npx skills add https://github.com/zhinkgit/embeddedskills --skill net-zhinkgit
Embedded developers and testers often need to discover interfaces, capture packet traces, and analyze pcap files to diagnose connectivity, protocol, or interoperability issues, but that work is manual, error-prone, and interrupts development loops. This skill centralizes interface discovery, live capture, offline pcap analysis, connectivity checks, port scanning, and traffic statistics so AI or tooling can perform network debugging reliably.
Capture 30 seconds of traffic on the target interface, save as trace.pcapng, and analyze protocols and anomalies in JSON output.
High-intent search queries and answers about installing and using this skill.
To capture network traffic from embedded devices, you can run timed live captures using tshark with BPF or display filters, saving the output in pcap or pcapng formats for further analysis and connectivity diagnosis.
Analyzing offline pcap files for embedded firmware troubleshooting involves using tshark and capinfos to extract protocol distributions, conversations, IO statistics, and detect anomalies to identify connectivity or interoperability issues.
Discovering available network interfaces and mapping them to tshark capture indices is done through interface discovery, which lists OS interfaces and accurately matches them to their corresponding tshark capture selections.
Yes, you can perform concurrent port scanning against embedded targets with optional banner grabs, alongside ICMP and TCP probing, to identify exposed embedded services and diagnose connectivity issues.
To get protocol distributions and traffic statistics from a pcap trace, the skill aggregates timed IO and traffic stats using tshark, generating protocol and endpoint summaries in JSON-structured outputs for validation and regression checks.
Yes, tshark supports JSON Lines streaming during live network captures, allowing you to run timed captures with BPF filters and output real-time traffic data alongside standard pcap or pcapng file formats.
yunseo-kimControl Bluesound and NAD players via command-line interface with JSON output.
YukiIto1999Analyze PCAP files with tshark to extract protocol statistics, top talkers, DNS queries, HTTP URLs, and IOCs.
AgentSecOpsAnalyze network traffic and protocol behavior with Tshark for security investigations.
automateyournetworkAnalyze network packet captures with Packet Buddy MCP and tshark.
