Agent skill

Implementing Ot Network Traffic Analysis With Nozomi

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Deploy Nozomi Networks Guardian sensors for passive OT network traffic analysis, providing asset visibility, behavioral anomaly detection, protocol-aware monitoring, and vulnerability assessment…

Apache-2.0Auto-check passedSecurity

Install Implementing Ot Network Traffic Analysis With Nozomi

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

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

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-ot-network-traffic-analysis-with-nozomi --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-ot-network-traffic-analysis-with-nozomi .claude/skills/implementing-ot-network-traffic-analysis-with-nozomi && 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-ot-network-traffic-analysis-with-nozomi
GitHub stars
34k
Token cost
~2.5k tokens
SKILL.md length
238 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Deploy Nozomi Networks Guardian sensors for passive OT network traffic analysis, providing asset visibility, behavioral anomaly detection, protocol-aware monitoring, and vulnerability assessment…

  • Deploying OT/ICS network monitoring
  • SKILL.md covers When to Use, Prerequisites, Workflow and Key Concepts, plus 1 more section
  • Runs Python scripts from its folder
  • Configuring Guardian sensors

What it does

Implementing Ot Network Traffic Analysis With Nozomi is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Deploy Nozomi Networks Guardian sensors for passive OT network traffic analysis, providing asset visibility, behavioral anomaly detection, protocol-aware monitoring, and vulnerability assessment across industrial control systems without disrupting operations. Use when deploying OT/ICS network monitoring, configuring Guardian sensors, or building real-time threat detection for SCADA and industrial environments.

Its SKILL.md is about 2.5k 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 Security, covering Vulnerability scanning and Anomaly detection. 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

  • Deploying OT/ICS network monitoring
  • Configuring Guardian sensors
  • Building real-time threat detection for SCADA and industrial environments

Example prompts

  • “/implementing-ot-network-traffic-analysis-with-nozomi”

Requirements

  • Python 3

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.

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

  • Network

    No URLs in SKILL.md.

    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 Ot Network Traffic Analysis With Nozomi loads about 2.5k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 117 tokens; SKILL.md has 238 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~117
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.1k

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). 238 words, ~2,521 tokens.

Download SKILL.mdSave it as .claude/skills/implementing-ot-network-traffic-analysis-with-nozomi/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
implementing-ot-network-traffic-analysis-with-nozomi
description
Deploy Nozomi Networks Guardian sensors for passive OT network traffic analysis, providing asset visibility, behavioral anomaly detection, protocol-aware monitoring, and vulnerability assessment across industrial control systems without disrupting operations. Use when deploying OT/ICS network monitoring, configuring Guardian sensors, or building real-time threat detection for SCADA and industrial environments.
domain
cybersecurity
subdomain
ot-ics-security
tags
ot-security, ics, nozomi, guardian, network-monitoring, asset-visibility, anomaly-detection, ndr
version
1.0
author
mahipal
license
Apache-2.0
nist_ai_rmf
MEASURE-2.7, MAP-5.1, MANAGE-2.4
atlas_techniques
AML.T0070, AML.T0066, AML.T0082
nist_csf
PR.IR-01, DE.CM-01, ID.AM-05, GV.OC-02
mitre_attack
T1078, T1190, T1059, T0816, T0836

Implementing OT Network Traffic Analysis with Nozomi

When to Use

  • When deploying passive OT network monitoring using Nozomi Networks Guardian sensors
  • When requiring asset visibility without active scanning in sensitive ICS environments
  • When building a Nozomi-based OT SOC with centralized management via Vantage or CMC
  • When integrating OT network monitoring with Fortinet, Splunk, or ServiceNow ecosystems
  • When monitoring compliance with IEC 62443 network segmentation policies

Do not use for active vulnerability scanning of OT devices (see performing-ot-vulnerability-scanning-safely), for environments standardized on Dragos (see implementing-dragos-platform-for-ot-monitoring), or for IT-only network monitoring.

Prerequisites

  • Nozomi Networks Guardian sensor (hardware, VM, or container)
  • Network TAP or SPAN port configured on monitored OT network segments
  • Nozomi Vantage (cloud) or Central Management Console for multi-sensor management
  • Nozomi Threat Intelligence subscription for updated detection signatures
  • Network architecture documentation for sensor placement planning

Workflow

Step 1: Deploy Guardian Sensors for Passive Monitoring
python
#!/usr/bin/env python3
"""Nozomi Guardian Deployment Manager and Alert Analyzer.

Manages Nozomi Guardian sensor deployment validation, asset inventory
extraction, and threat alert analysis for OT environments.
"""

import json
import sys
from collections import defaultdict
from datetime import datetime
from typing import Dict, List, Optional

try:
    import requests
except ImportError:
    print("Install requests: pip install requests")
    sys.exit(1)


class NozomiGuardianManager:
    """Manages Nozomi Networks Guardian for OT monitoring."""

    def __init__(self, guardian_url: str, api_token: str, verify_ssl: bool = False):
        self.guardian_url = guardian_url.rstrip("/")
        self.session = requests.Session()
        self.session.headers.update({
            "Authorization": f"Bearer {api_token}",
            "Content-Type": "application/json",
        })
        self.session.verify = verify_ssl

    def get_nodes(self, node_type: Optional[str] = None) -> List[Dict]:
        """Retrieve discovered network nodes (assets)."""
        params = {}
        if node_type:
            params["type"] = node_type
        resp = self.session.get(f"{self.guardian_url}/api/v1/nodes", params=params)
        resp.raise_for_status()
        return resp.json().get("result", [])

    def get_alerts(self, severity: str = "high", limit: int = 100) -> List[Dict]:
        """Retrieve security alerts."""
        params = {"severity": severity, "limit": limit, "status": "open"}
        resp = self.session.get(f"{self.guardian_url}/api/v1/alerts", params=params)
        resp.raise_for_status()
        return resp.json().get("result", [])

    def get_links(self) -> List[Dict]:
        """Retrieve communication links between nodes."""
        resp = self.session.get(f"{self.guardian_url}/api/v1/links")
        resp.raise_for_status()
        return resp.json().get("result", [])

    def get_vulnerabilities(self) -> List[Dict]:
        """Retrieve detected vulnerabilities."""
        resp = self.session.get(f"{self.guardian_url}/api/v1/vulnerabilities")
        resp.raise_for_status()
        return resp.json().get("result", [])

    def validate_deployment(self):
        """Validate Guardian sensor deployment and coverage."""
        print(f"\n{'='*65}")
        print("NOZOMI GUARDIAN DEPLOYMENT VALIDATION")
        print(f"{'='*65}")
        print(f"Guardian URL: {self.guardian_url}")
        print(f"Validation Time: {datetime.now().isoformat()}")

        # Check system status
        try:
            resp = self.session.get(f"{self.guardian_url}/api/v1/system/status")
            if resp.status_code == 200:
                status = resp.json()
                print(f"\n--- SYSTEM STATUS ---")
                print(f"  Version: {status.get('version', 'N/A')}")
                print(f"  Uptime: {status.get('uptime', 'N/A')}")
                print(f"  Packets Processed: {status.get('packets_processed', 'N/A')}")
                print(f"  Threat Intelligence: {status.get('threat_intelligence_version', 'N/A')}")
        except requests.RequestException as e:
            print(f"  [!] System status unavailable: {e}")

        # Asset discovery summary
        nodes = self.get_nodes()
        print(f"\n--- ASSET DISCOVERY ---")
        print(f"  Total Nodes Discovered: {len(nodes)}")

        type_counts = defaultdict(int)
        vendor_counts = defaultdict(int)
        protocol_set = set()
        for node in nodes:
            type_counts[node.get("type", "unknown")] += 1
            vendor_counts[node.get("vendor", "Unknown")] += 1
            for proto in node.get("protocols", []):
                protocol_set.add(proto)

        print(f"\n  By Type:")
        for ntype, count in sorted(type_counts.items(), key=lambda x: -x[1]):
            print(f"    {ntype}: {count}")

        print(f"\n  By Vendor:")
        for vendor, count in sorted(vendor_counts.items(), key=lambda x: -x[1])[:10]:
            print(f"    {vendor}: {count}")

        print(f"\n  Protocols Observed: {', '.join(sorted(protocol_set))}")

        # Alert summary
        alerts = self.get_alerts(severity="high")
        print(f"\n--- ALERT SUMMARY ---")
        print(f"  High/Critical Alerts: {len(alerts)}")

        alert_types = defaultdict(int)
        for alert in alerts:
            alert_types[alert.get("type_id", "unknown")] += 1

        for atype, count in sorted(alert_types.items(), key=lambda x: -x[1])[:10]:
            print(f"    {atype}: {count}")

        # Vulnerability summary
        vulns = self.get_vulnerabilities()
        print(f"\n--- VULNERABILITY SUMMARY ---")
        print(f"  Total Vulnerabilities: {len(vulns)}")

        sev_counts = defaultdict(int)
        for vuln in vulns:
            sev_counts[vuln.get("severity", "unknown")] += 1

        for sev in ["critical", "high", "medium", "low"]:
            if sev in sev_counts:
                print(f"    {sev.capitalize()}: {sev_counts[sev]}")

    def analyze_communication_patterns(self):
        """Analyze OT communication patterns for anomalies."""
        links = self.get_links()
        nodes = {n.get("id"): n for n in self.get_nodes()}

        print(f"\n--- COMMUNICATION ANALYSIS ---")
        print(f"  Total Communication Links: {len(links)}")

        # Identify cross-zone communications
        cross_zone = []
        for link in links:
            src_node = nodes.get(link.get("source_id"), {})
            dst_node = nodes.get(link.get("destination_id"), {})
            src_zone = src_node.get("zone", "unknown")
            dst_zone = dst_node.get("zone", "unknown")

            if src_zone != dst_zone and src_zone != "unknown" and dst_zone != "unknown":
                cross_zone.append({
                    "source": src_node.get("label", "Unknown"),
                    "source_zone": src_zone,
                    "destination": dst_node.get("label", "Unknown"),
                    "dest_zone": dst_zone,
                    "protocols": link.get("protocols", []),
                })

        if cross_zone:
            print(f"\n  Cross-Zone Communications: {len(cross_zone)}")
            for comm in cross_zone[:10]:
                print(f"    {comm['source']} ({comm['source_zone']}) -> "
                      f"{comm['destination']} ({comm['dest_zone']}) "
                      f"via {', '.join(comm['protocols'])}")


if __name__ == "__main__":
    manager = NozomiGuardianManager(
        guardian_url="https://nozomi-guardian.plant.local",
        api_token="your-api-token",
    )

    manager.validate_deployment()
    manager.analyze_communication_patterns()

Key Concepts

TermDefinition
GuardianNozomi Networks passive sensor that monitors OT network traffic via SPAN/TAP without generating additional traffic
VantageNozomi cloud-based central management platform for aggregating data across multiple Guardian sensors
Behavioral Anomaly Detection (BAD)Nozomi's AI-driven approach to detecting deviations from learned normal OT network behavior
Smart PollingNozomi's active query feature using native protocols to safely extract additional device details
Asset IntelligenceNozomi's automatic identification and classification of OT/IoT assets from network traffic
Threat Intelligence FeedNozomi Labs-maintained feed of OT-specific threat indicators, updated based on global honeypot data

Output Format

NOZOMI GUARDIAN OT MONITORING REPORT
=======================================
Site: [site name]
Date: YYYY-MM-DD

ASSET VISIBILITY:
  Total Assets: [count]
  PLCs: [count] | HMIs: [count] | Switches: [count]
  Protocols: [list]
  Vendors: [top 5]

THREAT DETECTION:
  Critical Alerts: [count]
  High Alerts: [count]
  Top Alert Categories: [list]

VULNERABILITIES:
  Critical: [count]
  High: [count]

NETWORK ANALYSIS:
  Communication Links: [count]
  Cross-Zone Flows: [count]

© 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-ot-network-traffic-analysis-with-nozomi of mukul975/Anthropic-Cybersecurity-Skills.

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

Open the folder on GitHubat commit 54a7988

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Questions about Implementing Ot Network Traffic Analysis With Nozomi

What does Implementing Ot Network Traffic Analysis With Nozomi do?

Deploy Nozomi Networks Guardian sensors for passive OT network traffic analysis, providing asset visibility, behavioral anomaly detection, protocol-aware monitoring, and vulnerability assessment…. Implementing Ot Network Traffic Analysis With Nozomi is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Deploy Nozomi Networks Guardian sensors for passive OT network traffic analysis, providing asset visibility, behavioral anomaly detection, protocol-aware monitoring, and vulnerability assessment across industrial control systems without disrupting operations.

When should I use Implementing Ot Network Traffic Analysis With Nozomi?

Implementing Ot Network Traffic Analysis With Nozomi fits situations like: deploying OT/ICS network monitoring; configuring Guardian sensors; building real-time threat detection for SCADA and industrial environments.

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

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

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

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

Can I use Implementing Ot Network Traffic Analysis With Nozomi 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-ot-network-traffic-analysis-with-nozomi -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-ot-network-traffic-analysis-with-nozomi, .gemini/skills/implementing-ot-network-traffic-analysis-with-nozomi, .github/skills/implementing-ot-network-traffic-analysis-with-nozomi and .opencode/skills/implementing-ot-network-traffic-analysis-with-nozomi in your project.

What does Implementing Ot Network Traffic Analysis With Nozomi need to run?

Going by SKILL.md and its folder, Implementing Ot Network Traffic Analysis With Nozomi needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Implementing Ot Network Traffic Analysis With Nozomi access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Implementing Ot Network Traffic Analysis With Nozomi 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 Ot Network Traffic Analysis With Nozomi use?

Implementing Ot Network Traffic Analysis With Nozomi 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 Ot Network Traffic Analysis With Nozomi use?

About 2.5k tokens (SKILL.md is roughly 10k 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 580 tokens, read only when the agent opens those files.

What are the alternatives to Implementing Ot Network Traffic Analysis With Nozomi?

Skills that share tags, products or a category with Implementing Ot Network Traffic Analysis With Nozomi: Threat Detection (alirezarezvani/claude-skills, 28k stars), Hashing Gate (tola-rs/tola-ssg, 178 stars), Breach Detection System (mukul975/Privacy-Data-Protection-Skills, 301 stars) and Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implementing Ot Network Traffic Analysis With Nozomi?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 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.