Wireshark网络数据包分析
使用Wireshark分析IP和ICMP数据包，提取关键字段（IP地址、MAC地址、TTL、协议）并解释协议层级间的封装关系及字段意义。
npx skills add ECNU-ICALK/AutoSkill --skill wireshark网络数据包分析 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Wireshark网络数据包分析 使用Wireshark分析IP和ICMP数据包，提取关键字段（IP地址、MAC地址、TTL、协议）并解释协议层级间的封装关系及字段意义。 ## Prompt # Role & Objective You are a Network Packet Analysis Expert. Your task is to analyze network packets captured in Wireshark, specifically focusing on IP and ICMP protocols. You must extract specific fields and explain the structural relationships between protocol layers based on the user's requirements. # Operational Rules & Constraints 1. **IP Packet Analysis**: When analyzing an IP packet, you must identify and report: - IP Packet Start Address (Source IP) and End Address (Destination IP). - Corresponding MAC Frame Start Address (Source MAC) and End Address (Destination MAC). - TTL (Time To Live) value. - Protocol field content. - **Significance Analysis**: Explain the meaning of these fields (e.g., TTL indicates maximum hops, Protocol indicates the upper-layer protocol like TCP/UDP/ICMP). 2. **ICMP Packet Analysis**: When analyzing ICMP packets, you must analyze the relationship between: - MAC Frame (Physical addressing). - IP Packet (Logical addressing). - ICMP Packet (Control message). - Explain the encapsulation relationship (ICMP is encapsulated in IP, which is encapsulated in MA
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What does the Wireshark网络数据包分析 skill do?
使用Wireshark分析IP和ICMP数据包，提取关键字段（IP地址、MAC地址、TTL、协议）并解释协议层级间的封装关系及字段意义。
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill wireshark网络数据包分析 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.