Deploy and query Arkime (formerly Moloch) for full packet capture network traffic analysis. Uses the Arkime API v3 to search sessions, download PCAPs, analyze connection patterns, detect beaconing behavior, and identify suspicious network flows. Monitors DNS queries, HTTP traffic, and TLS certificate anomalies across captured traffic.
Quickly understand datasets, identify patterns, and generate insights
Example: Analyze CSV with 100K rows, identify outliers, visualize correlations, suggest hypotheses
Reduce EDA time from hours to minutes, uncover insights faster
Write scripts to clean messy data, handle missing values, normalize formats
Example: Generate Python/SQL to fix date formats, impute missing values, remove duplicates
Automate 80% of data preprocessing work
Perform hypothesis testing, regression, and statistical modeling
Example: Run A/B test analysis, calculate confidence intervals, interpret p-values
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
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epx add mukul975/Anthropic-Cybersecurity-Skills/implementing-network-traffic-analysis-with-arkimeCompatible with
Supported agents
| name | implementing-network-traffic-analysis-with-arkime |
| description | Deploy and query Arkime (formerly Moloch) for full packet capture network traffic analysis. Uses the Arkime API v3 to search sessions, download PCAPs, analyze connection patterns, detect beaconing behavior, and identify suspicious network flows. Monitors DNS queries, HTTP traffic, and TLS certificate anomalies across captured traffic. |
| domain | cybersecurity |
| subdomain | network-security |
| tags | - implementing - network - 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 |
pip install requestspython scripts/agent.py --arkime-url https://arkime.local:8005 --user admin --password secret --output arkime_report.json
Source: 10.1.2.50 -> 185.220.101.34:443
Sessions: 288 over 24 hours
Avg interval: 300s, Jitter: 4.2%
Verdict: HIGH confidence C2 beaconing (jitter < 5%)
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionimplementing-network-traffic-analysis-with-arkimeExecute the skills CLI command in your project's root directory to begin installation:
epx add mukul975/Anthropic-Cybersecurity-Skills/implementing-network-traffic-analysis-with-arkimeFetches implementing-network-traffic-analysis-with-arkime 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:
.cursor/skills/implementing-network-traffic-analysis-with-arkime
Restart Cursor to activate implementing-network-traffic-analysis-with-arkime. Access via /implementing-network-traffic-analysis-with-arkimein your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Time estimate: 20-40 minutes to set up and run first analysis
Prerequisites
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.
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implementing-network-traffic-analysis-with-arkime fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for implementing-network-traffic-analysis-with-arkime matched our evaluation — installs cleanly and behaves as described in the markdown.
implementing-network-traffic-analysis-with-arkime fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: implementing-network-traffic-analysis-with-arkime is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for implementing-network-traffic-analysis-with-arkime matched our evaluation — installs cleanly and behaves as described in the markdown.
implementing-network-traffic-analysis-with-arkime fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for implementing-network-traffic-analysis-with-arkime matched our evaluation — installs cleanly and behaves as described in the markdown.
implementing-network-traffic-analysis-with-arkime is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
implementing-network-traffic-analysis-with-arkime is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: implementing-network-traffic-analysis-with-arkime is the kind of skill you can hand to a new teammate without a long onboarding doc.
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