Agent skill

Implementing Network Traffic Analysis With Arkime

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Queries Arkime (formerly Moloch) full packet capture via its API to search sessions, download PCAPs, detect C2 beaconing through connection interval/jitter stats, spot DNS tunneling via query-length…

Apache-2.0Auto-check passedDevOps & Cloud

Install Implementing Network Traffic Analysis With Arkime

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-network-traffic-analysis-with-arkime -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-network-traffic-analysis-with-arkime --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/implementing-network-traffic-analysis-with-arkime .claude/skills/implementing-network-traffic-analysis-with-arkime && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
implementing-network-traffic-analysis-with-arkime
GitHub stars
34k
Token cost
~557 tokens
SKILL.md length
141 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Queries Arkime (formerly Moloch) full packet capture via its API to search sessions, download PCAPs, detect C2 beaconing through connection interval/jitter stats, spot DNS tunneling via query-length…

  • Works in 3 steps: Install dependencies: pip install requests → Configure Arkime viewer URL and… → Run the agent to query Arkime sessions…
  • Investigating suspicious network flows
  • SKILL.md covers When to Use, Prerequisites, Instructions and Examples
  • Runs Python scripts from its folder; calls python and pip

What it does

Implementing Network Traffic Analysis With Arkime is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Queries Arkime (formerly Moloch) full packet capture via its API to search sessions, download PCAPs, detect C2 beaconing through connection interval/jitter stats, spot DNS tunneling via query-length analysis, and flag known-bad TLS certificate issuers, using the bundled scripts/agent.py. Use when investigating suspicious network flows or doing full-packet-capture forensics against an Arkime deployment.

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).

It sits in DevOps & Cloud, covering Cloud networking. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Investigating suspicious network flows
  • Doing full-packet-capture forensics against an Arkime deployment

Example prompts

  • “Use the implementing-network-traffic-analysis-with-arkime skill to query Arkime (formerly Moloch) full packet capture via its API to search…”
  • “/implementing-network-traffic-analysis-with-arkime”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Install dependencies: pip install requests
  2. Configure Arkime viewer URL and credentials.
  3. Run the agent to query Arkime sessions and analyze traffic

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Implementing Network Traffic Analysis With Arkime loads about 557 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 114 tokens; SKILL.md has 141 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~114
When it runs · the whole SKILL.md, loaded when a task matches
~557
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 141 words, ~557 tokens.

Download SKILL.mdSave it as .claude/skills/implementing-network-traffic-analysis-with-arkime/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
implementing-network-traffic-analysis-with-arkime
description
Queries Arkime (formerly Moloch) full packet capture via its API to search sessions, download PCAPs, detect C2 beaconing through connection interval/jitter stats, spot DNS tunneling via query-length analysis, and flag known-bad TLS certificate issuers, using the bundled scripts/agent.py. Use when investigating suspicious network flows or doing full-packet-capture forensics against an Arkime deployment.
domain
cybersecurity
subdomain
network-security
tags
network-security, arkime, full-packet-capture, nta, pcap-analysis, network-forensics
version
1.0
author
mahipal
license
Apache-2.0
nist_csf
PR.IR-01, DE.CM-01, ID.AM-03, PR.DS-02
mitre_attack
T1046, T1040, T1557, T1071, T1095

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%)

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in skills/implementing-network-traffic-analysis-with-arkime of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • references/api-reference.md
  • scripts/agent.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Implementing Network Traffic Analysis With Arkime next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Implementing Network Traffic Analysis With Arkime compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Implementing Network Traffic Analysis With Arkime this skillmukul975/Anthropic-Cybersecurity-Skills34k—~557Automated safety check: PassApache-2.0
Detecting Directory Listingjeremylongshore/tons-of-skills-marketplace2.8k—~1.8kAutomated safety check: NotesMIT
Techstack Infratransilienceai/communitytools562—~462Automated safety check: PassMIT
Kubeshark KFL2 Filter Referencekubeshark/kubeshark12k—~3.6kAutomated safety check: PassApache-2.0
Nginx To Higress Migrationhigress-group/higress9.5k—~3.9kAutomated safety check: PassApache-2.0
Bfe Rd Workflowbfenetworks/bfe6.3k—~1.3kAutomated safety check: PassApache-2.0

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Questions about Implementing Network Traffic Analysis With Arkime

What does Implementing Network Traffic Analysis With Arkime do?

Queries Arkime (formerly Moloch) full packet capture via its API to search sessions, download PCAPs, detect C2 beaconing through connection interval/jitter stats, spot DNS tunneling via query-length…. Implementing Network Traffic Analysis With Arkime is an agent skill from mukul975/Anthropic-Cybersecurity-Skills.py.

When should I use Implementing Network Traffic Analysis With Arkime?

Implementing Network Traffic Analysis With Arkime fits situations like: investigating suspicious network flows; doing full-packet-capture forensics against an Arkime deployment.

How do I install Implementing Network Traffic Analysis With Arkime in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-network-traffic-analysis-with-arkime -a claude-code`. Or copy the skill folder (skills/implementing-network-traffic-analysis-with-arkime in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/implementing-network-traffic-analysis-with-arkime in your project. Claude Code loads it when a task matches its description.

How do I install Implementing Network Traffic Analysis With Arkime in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-network-traffic-analysis-with-arkime -a codex`. Or copy the skill folder (skills/implementing-network-traffic-analysis-with-arkime in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/implementing-network-traffic-analysis-with-arkime in your project. Codex loads it when a task matches its description.

Can I use Implementing Network Traffic Analysis With Arkime in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-network-traffic-analysis-with-arkime -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implementing-network-traffic-analysis-with-arkime, .gemini/skills/implementing-network-traffic-analysis-with-arkime, .github/skills/implementing-network-traffic-analysis-with-arkime and .opencode/skills/implementing-network-traffic-analysis-with-arkime in your project.

What does Implementing Network Traffic Analysis With Arkime need to run?

Going by SKILL.md and its folder, Implementing Network Traffic Analysis With Arkime needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.

Does Implementing Network Traffic Analysis With Arkime access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Implementing Network Traffic Analysis With Arkime safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Implementing Network Traffic Analysis With Arkime use?

Implementing Network Traffic Analysis With Arkime is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Implementing Network Traffic Analysis With Arkime use?

About 557 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 505 tokens, read only when the agent opens those files.

What are the alternatives to Implementing Network Traffic Analysis With Arkime?

Skills that share tags, products or a category with Implementing Network Traffic Analysis With Arkime: Detecting Directory Listing (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Techstack Infra (transilienceai/communitytools, 562 stars), Kubeshark KFL2 Filter Reference (kubeshark/kubeshark, 12k stars) and Nginx To Higress Migration (higress-group/higress, 9.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implementing Network Traffic Analysis With Arkime?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,993 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.