Automate network traffic analysis using tshark and pyshark for protocol statistics, suspicious flow detection, DNS anomaly identification, and IOC extraction from PCAP files
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionperforming-network-traffic-analysis-with-tsharkExecute the skills CLI command in your project's root directory to begin installation:
Fetches performing-network-traffic-analysis-with-tshark from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate performing-network-traffic-analysis-with-tshark. Access via /performing-network-traffic-analysis-with-tshark in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
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| name | performing-network-traffic-analysis-with-tshark |
| description | Automate network traffic analysis using tshark and pyshark for protocol statistics, suspicious flow detection, DNS anomaly identification, and IOC extraction from PCAP files |
| domain | cybersecurity |
| subdomain | network-security |
| tags | - tshark - pyshark - pcap - packet-analysis - network-forensics - wireshark - traffic-analysis |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.IR-01 - DE.CM-01 - ID.AM-03 - PR.DS-02 |
This skill automates packet capture analysis using tshark (Wireshark CLI) and pyshark (Python wrapper). It extracts protocol distribution statistics, identifies suspicious network flows (port scans, beaconing, data exfiltration), extracts IOCs (IPs, domains, URLs), and detects DNS tunneling patterns from PCAP files.
Get statistically sound analysis without PhD in statistics
Create charts, dashboards, and visual reports
Example
Generate matplotlib/seaborn code for time series plots, distribution charts, heatmaps
Build presentation-ready visualizations 3x faster
Prerequisites
Time Estimate
20-40 minutes to set up and run first analysis
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for exploratory data analysis, data cleaning, statistical testing, visualization prototyping, and learning new analysis techniques. Best for initial exploration and rapid insights.
✗ Avoid when
Avoid for mission-critical financial analysis, medical research requiring regulatory compliance, production ML models, or when deep statistical expertise is required for nuanced interpretation.
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
Useful defaults in performing-network-traffic-analysis-with-tshark — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend performing-network-traffic-analysis-with-tshark for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
performing-network-traffic-analysis-with-tshark fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: performing-network-traffic-analysis-with-tshark is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for performing-network-traffic-analysis-with-tshark matched our evaluation — installs cleanly and behaves as described in the markdown.
performing-network-traffic-analysis-with-tshark has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: performing-network-traffic-analysis-with-tshark is focused, and the summary matches what you get after install.
performing-network-traffic-analysis-with-tshark reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: performing-network-traffic-analysis-with-tshark is focused, and the summary matches what you get after install.
performing-network-traffic-analysis-with-tshark has been reliable in day-to-day use. Documentation quality is above average for community skills.
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