This is a solid reference for packet analysis workflows, covering capture filters, display filters, stream reconstruction, and statistical analysis in Wireshark. You'd use it when investigating security incidents, troubleshooting network issues, or analyzing malware traffic. The filter syntax examples are practical and the statistical analysis section is actually useful for spotting patterns you might miss manually. One thing to note: this assumes you already have capture permissions and some protocol knowledge. It won't hold your hand through installation or basic networking concepts. The security analysis section includes decent detection patterns for port scans and ARP spoofing, though real world threat hunting gets messier than these examples suggest.

GitHub stars
39.4K
last updated
Jun 3, 2026

Install

$ npx -y skills add sickn33/antigravity-awesome-skills --skill wireshark-analysis --agent claude-code

Installs into .claude/skills of the current project.

Files

Wireshark Network Traffic Analysis

Detailed Guide

Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

Constraints and Guardrails

Operational Boundaries

  • Capture only authorized network traffic
  • Handle captured data according to privacy policies
  • Avoid capturing sensitive credentials unnecessarily
  • Properly secure PCAP files containing sensitive data

Technical Limitations

  • Large captures consume significant memory
  • Encrypted traffic content not visible without keys
  • High-speed networks may drop packets
  • Some protocols require plugins for full decoding

Best Practices

  • Use capture filters to limit data collection
  • Save captures regularly during long sessions
  • Use display filters rather than deleting packets
  • Document analysis findings and methodology

Examples

Example 1: HTTP Credential Analysis

Scenario: Investigate potential plaintext credential transmission

Sponsors

Details

Repository
github.com/sickn33/antigravity-awesome-skills
Category
Marketing & SEO
First seen
Jun 3, 2026

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