How do I install the Implementing Network Traffic Analysis With Arkime skill?

Run npx skillmds add thedixitjain/implementing-network-traffic-analysis-with-arkime in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Which AI agents work with Implementing Network Traffic Analysis With Arkime?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Implementing Network Traffic Analysis With Arkime free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Implementing Network Traffic Analysis With Arkime?

thedixitjain (@thedixitjain) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Implementing Network Traffic Analysis With Arkime by thedixitjain

Name: Implementing Network Traffic Analysis With Arkime
Rating: 4.2 (5 reviews)
Author: thedixitjain

Implementing Network Traffic Analysis With Arkime

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.

thedixitjain 8eb73f6 4 files · 23.2 KB Updated Sep 9, 2026 2 repo stars

File contents

Implementing Network Traffic Analysis with Arkime

When to Use

When deploying or configuring implementing network traffic analysis with arkime capabilities in your environment
When establishing security controls aligned to compliance requirements
When building or improving security architecture for this domain
When conducting security assessments that require this implementation

Prerequisites

Familiarity with network security concepts and tools
Access to a test or lab environment for safe execution
Python 3.8+ with required dependencies installed
Appropriate authorization for any testing activities

Instructions

Install dependencies: pip install requests
Configure Arkime viewer URL and credentials.
Run the agent to query Arkime sessions and analyze traffic:
- Search sessions by IP, port, protocol, or expression
- Download PCAP data for forensic analysis
- Detect C2 beaconing via connection interval analysis
- Identify DNS tunneling through query length statistics
- Flag connections to known-bad TLS certificate issuers

python scripts/agent.py --arkime-url https://arkime.local:8005 --user admin --password secret --output arkime_report.json

Examples

Beaconing Detection

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%)

Source: mukul975/Anthropic-Cybersecurity-Skills → skills/implementing-network-traffic-analysis-with-arkime/SKILL.md

---name: implementing-network-traffic-analysis-with-arkimedescription: 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.--- # Implementing Network Traffic Analysis with Arkime ## When to Use - When deploying or configuring implementing network traffic analysis with arkime capabilities in your environment - When establishing security controls aligned to compliance requirements - When building or improving security architecture for this domain - When conducting security assessments that require this implementation ## Prerequisites - Familiarity with network security concepts and tools - Access to a test or lab environment for safe execution - Python 3.8+ with required dependencies installed - Appropriate authorization for any testing activities ## Instructions 1. Install dependencies: `pip install requests` 2. Configure Arkime viewer URL and credentials. 3. Run the agent to query Arkime sessions and analyze traffic: - Search sessions by IP, port, protocol, or expression - Download PCAP data for forensic analysis - Detect C2 beaconing via connection interval analysis - Identify DNS tunneling through query length statistics - Flag connections to known-bad TLS certificate issuers ```bash python scripts/agent.py --arkime-url https://arkime.local:8005 --user admin --password secret --output arkime_report.json ``` ## Examples ### Beaconing Detection ``` 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%) ``` --- **Source:** [`mukul975/Anthropic-Cybersecurity-Skills`](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) → `skills/implementing-network-traffic-analysis-with-arkime/SKILL.md`

Frequently asked questions