Network Protocol Analysis Skill
Network protocol capture, analysis, and fuzzing capabilities
npx skills add a5c-ai/babysitter --skill protocol-analysis --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.
# Network Protocol Analysis Skill ## Overview This skill provides network protocol capture, analysis, and fuzzing capabilities for security research. ## Capabilities - Capture and analyze pcap files - Write Wireshark dissectors (Lua) - Create Scapy packet crafting scripts - Execute network fuzzing with boofuzz - Parse protocol state machines - Generate protocol documentation - Support TLS/SSL analysis - Create network-based exploits ## Target Processes - protocol-reverse-engineering.js - network-penetration-testing.js - malware-analysis.js - firmware-analysis.js ## Dependencies - Wireshark/tshark - Scapy (Python) - boofuzz - tcpdump - nmap - Python 3.x ## Usage Context This skill is essential for: - Protocol reverse engineering - Network vulnerability research - C2 protocol analysis - Custom protocol fuzzing - Network-based exploit development ## Integration Notes - Supports live capture and offline analysis - Can generate reproducible packet sequences - Integrates with protocol documentation tools - Supports encrypted traffic analysis (with keys) - Can create custom Wireshark dissectors
- Overview
- Capabilities
- Target Processes
- Dependencies
- Usage Context
- Integration Notes
What does the Network Protocol Analysis Skill skill do?
Network protocol capture, analysis, and fuzzing capabilities
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill protocol-analysis --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 a5c-ai/babysitter, a repository with 1,642 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.