Agent skill

Performing Wireless Security Assessment With Kismet

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Conduct wireless network security assessments using Kismet to detect rogue access points, hidden SSIDs, weak encryption, and unauthorized clients through passive RF monitoring.

Apache-2.0Auto-check: notesSecurity

Install Performing Wireless Security Assessment With Kismet

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-wireless-security-assessment-with-kismet -a claude-code

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

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-wireless-security-assessment-with-kismet --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/performing-wireless-security-assessment-with-kismet .claude/skills/performing-wireless-security-assessment-with-kismet && 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
performing-wireless-security-assessment-with-kismet
GitHub stars
34k
Token cost
~3.4k tokens
SKILL.md length
541 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Conduct wireless network security assessments using Kismet to detect rogue access points, hidden SSIDs, weak encryption, and unauthorized clients through passive RF monitoring.

  • Works in 5 steps: Prepare Wireless Adapter → Configure and Launch Kismet → Conduct Assessment Scans → …
  • Tasks that involve Security review
  • SKILL.md covers Overview, When to Use, Prerequisites and Core Concepts, plus 4 more sections
  • Runs Python scripts from its folder; calls curl and python3

What it does

Performing Wireless Security Assessment With Kismet is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Conduct wireless network security assessments using Kismet to detect rogue access points, hidden SSIDs, weak encryption, and unauthorized clients through passive RF monitoring.

Its SKILL.md is about 3.4k 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 Security review and Network security. It works with Linux. 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

  • Tasks that involve Security review
  • Tasks that involve Network security

Example prompts

  • “/performing-wireless-security-assessment-with-kismet”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Prepare Wireless Adapter
  2. Configure and Launch Kismet
  3. Conduct Assessment Scans
  4. Analyze Results
  5. Detect Rogue Access Points

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:

    • curl
    • python3

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

  • Network

    Links to these hosts (documentation or services it may open):

    • kismetwireless.net
    • cisa.gov
    • csrc.nist.gov
    • wi-fi.org

    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

Performing Wireless Security Assessment With Kismet loads about 3.4k tokens when it runs, and up to ~3.9k if it reads all its reference files. Until then it costs about 57 tokens; SKILL.md has 541 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~3.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.9k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteRuns commands with sudoSKILL.md:101
    sudo airmon-ng check kill
  • NoteRuns commands with sudoSKILL.md:104
    sudo ip link set wlan0 down
  • NoteRuns commands with sudoSKILL.md:105
    sudo iw dev wlan0 set type monitor
  • NoteRuns commands with sudoSKILL.md:106
    sudo ip link set wlan0 up
  • NoteRuns commands with sudoSKILL.md:144
    sudo kismet -c wlan0

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). 541 words, ~3,363 tokens.

Download SKILL.mdSave it as .claude/skills/performing-wireless-security-assessment-with-kismet/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
performing-wireless-security-assessment-with-kismet
description
Conduct wireless network security assessments using Kismet to detect rogue access points, hidden SSIDs, weak encryption, and unauthorized clients through passive RF monitoring.
domain
cybersecurity
subdomain
network-security
tags
kismet, wireless-security, wifi-assessment, rogue-ap, 802.11, wardriving, wids, wireless-ids, rf-monitoring
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, T1573

Performing Wireless Security Assessment with Kismet

Overview

Kismet is an open-source wireless network detector, packet sniffer, and wireless intrusion detection system (WIDS) supporting 802.11a/b/g/n/ac/ax. Unlike active scanners, Kismet operates in passive monitor mode, making it undetectable to the networks being assessed. It captures raw 802.11 frames, identifies access points, clients, probe requests, and encryption types without transmitting any packets. This skill covers deploying Kismet for comprehensive wireless security assessments, identifying rogue access points, detecting weak encryption, mapping hidden networks, and analyzing client behavior.

When to Use

  • When conducting security assessments that involve performing wireless security assessment with kismet
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • Linux system (Kali Linux, Ubuntu 22.04+) with Kismet 2023+ installed
  • Wireless adapter supporting monitor mode (e.g., Alfa AWUS036ACH, TP-Link TL-WN722N v1)
  • Written authorization for wireless assessment (legal requirement)
  • GPS receiver (optional, for geolocation mapping)
  • Target environment wireless network documentation

Core Concepts

Kismet Architecture

Kismet uses a client-server architecture:

  • kismet - Main server process that captures and processes packets
  • kismet_cap_linux_wifi - Capture source for Linux WiFi interfaces
  • kismet_cap_linux_bluetooth - Capture source for Bluetooth
  • Web UI - Browser-based interface at http://localhost:2501
Wireless Frame Types
Frame TypePurposeSecurity Relevance
BeaconAP announces its presenceSSID, encryption, vendor
Probe RequestClient searches for networksReveals preferred networks
Probe ResponseAP responds to client probeHidden SSID disclosure
AuthenticationClient authenticates to APAuth type identification
DeauthenticationDisconnects client from APPotential attack indicator
AssociationClient joins networkClient-AP relationship
Encryption Assessment
EncryptionStatusRisk
Open (No encryption)InsecureCritical - all traffic visible
WEPBrokenCritical - crackable in minutes
WPA-TKIPDeprecatedHigh - known vulnerabilities
WPA2-PSK (CCMP)AcceptableMedium - depends on passphrase strength
WPA2-Enterprise (802.1X)RecommendedLow - certificate-based
WPA3-SAEBest practiceLow - resistant to offline attacks

Workflow

Step 1: Prepare Wireless Adapter
bash
# Identify wireless interfaces
iwconfig

# Check adapter capabilities
iw list | grep -A 10 "Supported interface modes"

# Kill processes that may interfere
sudo airmon-ng check kill

# Enable monitor mode
sudo ip link set wlan0 down
sudo iw dev wlan0 set type monitor
sudo ip link set wlan0 up

# Verify monitor mode
iw dev wlan0 info | grep type
Step 2: Configure and Launch Kismet

Edit /etc/kismet/kismet.conf:

ini
# Data sources
source=wlan0:name=WiFi-Monitor,channel_hop=true,channel_hoprate=5/sec

# Logging configuration
log_types=kismet,pcapng
log_prefix=/opt/kismet/logs/assessment

# Enable all 802.11 channels (2.4GHz and 5GHz)
channel_hop_speed=5
channel_list=IEEE80211:1,2,3,4,5,6,7,8,9,10,11,36,40,44,48,52,56,60,64,100,104,108,112,116,120,124,128,132,136,140,149,153,157,161,165

# GPS configuration (if available)
gps=gpsd:host=localhost,port=2947

# Alert configuration
alert=ADVCRYPTCHANGE,5/min,1/sec
alert=BSSTIMESTAMP,5/min,1/sec
alert=CRYPTODROP,5/min,1/sec
alert=DISASSOCTRAFFIC,10/min,1/sec
alert=DEAUTHFLOOD,10/min,2/sec
alert=PROBENOMFP,5/min,1/sec

Launch Kismet:

bash
# Start Kismet server
sudo kismet -c wlan0

# Access web interface
# Open browser to http://localhost:2501
# Default credentials: kismet / kismet (change immediately)
Show full SKILL.md (225 more words)Show less
Step 3: Conduct Assessment Scans

Rogue Access Point Detection:

bash
# Export device list via Kismet REST API
curl -u kismet:kismet http://localhost:2501/devices/summary/devices.json | \
    python3 -m json.tool > all_devices.json

# Filter for access points
curl -u kismet:kismet \
    'http://localhost:2501/devices/summary/devices.json' \
    -d 'json={"fields":["kismet.device.base.macaddr","kismet.device.base.name","kismet.device.base.type","kismet.device.base.crypt","kismet.device.base.channel","kismet.device.base.manuf","dot11.device/dot11.device.advertised_ssid_map/dot11.advertisedssid.ssid"]}' \
    > access_points.json

Client Probe Analysis:

Probe requests reveal networks that clients have previously connected to, which can indicate:

  • Corporate devices connecting to insecure home networks
  • Devices searching for known-evil SSIDs (evil twin susceptibility)
  • Unauthorized personal devices in corporate space
Step 4: Analyze Results

Python analysis script for Kismet database:

python
#!/usr/bin/env python3
"""Analyze Kismet capture database for wireless security findings."""

import sqlite3
import json
import sys
from collections import defaultdict


def analyze_kismet_db(db_path: str):
    """Analyze Kismet SQLite database for security issues."""
    conn = sqlite3.connect(db_path)
    cursor = conn.cursor()

    findings = []

    # Query all devices
    cursor.execute("""
        SELECT devmac, type, device
        FROM devices
    """)

    devices = cursor.fetchall()
    ap_count = 0
    client_count = 0
    open_networks = []
    wep_networks = []
    wpa_tkip_networks = []
    hidden_networks = []
    all_aps = []

    for mac, dev_type, device_json in devices:
        try:
            device = json.loads(device_json)
        except json.JSONDecodeError:
            continue

        base = device.get('kismet.device.base.type', '')

        if 'Wi-Fi AP' in base or 'Wi-Fi Device' in base:
            ap_count += 1
            ssid_map = device.get('dot11.device', {}).get(
                'dot11.device.advertised_ssid_map', []
            )
            crypt = device.get('kismet.device.base.crypt', '')
            name = device.get('kismet.device.base.name', 'Unknown')
            channel = device.get('kismet.device.base.channel', '')
            manuf = device.get('kismet.device.base.manuf', 'Unknown')

            ap_info = {
                'mac': mac,
                'ssid': name,
                'encryption': crypt,
                'channel': channel,
                'manufacturer': manuf,
            }
            all_aps.append(ap_info)

            if 'None' in crypt or crypt == '':
                open_networks.append(ap_info)
            elif 'WEP' in crypt:
                wep_networks.append(ap_info)
            elif 'WPA+TKIP' in crypt and 'AES' not in crypt:
                wpa_tkip_networks.append(ap_info)

            for ssid_entry in ssid_map:
                if isinstance(ssid_entry, dict):
                    ssid = ssid_entry.get('dot11.advertisedssid.ssid', '')
                    if ssid == '' or ssid is None:
                        hidden_networks.append(ap_info)

        elif 'Wi-Fi Client' in base:
            client_count += 1

    # Generate findings
    print(f"\n{'='*70}")
    print("WIRELESS SECURITY ASSESSMENT REPORT")
    print(f"{'='*70}")
    print(f"\nTotal Access Points Detected: {ap_count}")
    print(f"Total Clients Detected: {client_count}")

    if open_networks:
        print(f"\n[CRITICAL] Open Networks (No Encryption): {len(open_networks)}")
        for net in open_networks:
            print(f"  - SSID: {net['ssid']}, MAC: {net['mac']}, "
                  f"Channel: {net['channel']}, Vendor: {net['manufacturer']}")

    if wep_networks:
        print(f"\n[CRITICAL] WEP-Encrypted Networks: {len(wep_networks)}")
        for net in wep_networks:
            print(f"  - SSID: {net['ssid']}, MAC: {net['mac']}, "
                  f"Channel: {net['channel']}")

    if wpa_tkip_networks:
        print(f"\n[HIGH] WPA-TKIP Networks (Deprecated): {len(wpa_tkip_networks)}")
        for net in wpa_tkip_networks:
            print(f"  - SSID: {net['ssid']}, MAC: {net['mac']}, "
                  f"Channel: {net['channel']}")

    if hidden_networks:
        print(f"\n[MEDIUM] Hidden SSIDs Detected: {len(hidden_networks)}")
        for net in hidden_networks:
            print(f"  - MAC: {net['mac']}, Channel: {net['channel']}, "
                  f"Vendor: {net['manufacturer']}")

    # Channel utilization analysis
    channel_usage = defaultdict(int)
    for ap in all_aps:
        ch = ap.get('channel', 'Unknown')
        channel_usage[ch] += 1

    print(f"\n[INFO] Channel Utilization:")
    for ch, count in sorted(channel_usage.items()):
        print(f"  Channel {ch}: {count} APs")

    conn.close()


if __name__ == '__main__':
    db_path = sys.argv[1] if len(sys.argv) > 1 else 'Kismet-*.kismet'
    analyze_kismet_db(db_path)
Step 5: Detect Rogue Access Points

Compare discovered APs against authorized inventory:

python
#!/usr/bin/env python3
"""Detect rogue access points by comparing against authorized AP list."""

import json
import sys


def load_authorized_aps(filepath: str) -> set:
    """Load authorized AP MAC addresses from file."""
    authorized = set()
    with open(filepath, 'r') as f:
        for line in f:
            mac = line.strip().lower()
            if mac and not mac.startswith('#'):
                authorized.add(mac)
    return authorized


def detect_rogues(kismet_json: str, authorized_file: str):
    """Compare discovered APs against authorized list."""
    authorized = load_authorized_aps(authorized_file)

    with open(kismet_json, 'r') as f:
        devices = json.load(f)

    rogues = []
    for device in devices:
        mac = device.get('kismet.device.base.macaddr', '').lower()
        dev_type = device.get('kismet.device.base.type', '')

        if 'AP' in dev_type and mac not in authorized:
            rogues.append({
                'mac': mac,
                'ssid': device.get('kismet.device.base.name', 'Unknown'),
                'encryption': device.get('kismet.device.base.crypt', ''),
                'channel': device.get('kismet.device.base.channel', ''),
                'manufacturer': device.get('kismet.device.base.manuf', ''),
                'signal': device.get('kismet.device.base.signal', {}).get(
                    'kismet.common.signal.last_signal', 0),
            })

    if rogues:
        print(f"\n[ALERT] {len(rogues)} ROGUE ACCESS POINTS DETECTED\n")
        for rogue in rogues:
            print(f"  MAC: {rogue['mac']}")
            print(f"  SSID: {rogue['ssid']}")
            print(f"  Encryption: {rogue['encryption']}")
            print(f"  Channel: {rogue['channel']}")
            print(f"  Vendor: {rogue['manufacturer']}")
            print(f"  Signal: {rogue['signal']} dBm")
            print()
    else:
        print("No rogue access points detected.")


if __name__ == '__main__':
    if len(sys.argv) < 3:
        print("Usage: python detect_rogues.py <kismet_devices.json> <authorized_aps.txt>")
        sys.exit(1)
    detect_rogues(sys.argv[1], sys.argv[2])

Assessment Checklist

  • All authorized APs identified and verified
  • Rogue/unauthorized APs identified and located
  • Encryption types documented for all SSIDs
  • Hidden SSIDs discovered and documented
  • Client probe requests analyzed for sensitive patterns
  • Evil twin susceptibility assessed
  • WPS status checked on all APs
  • Signal coverage boundaries mapped
  • Guest network isolation verified
  • Management interfaces not exposed on wireless

Best Practices

  • Written Authorization - Always obtain signed authorization before performing wireless assessments
  • Passive Only - Use Kismet in passive mode; do not transmit deauth frames or probe requests
  • Comprehensive Channel Coverage - Scan both 2.4GHz and 5GHz bands including DFS channels
  • Multiple Locations - Perform captures from multiple physical locations for complete coverage
  • Time Duration - Capture for at least 30-60 minutes to observe intermittent devices
  • GPS Mapping - Use GPS to create heat maps for signal boundary analysis
  • Baseline Comparison - Maintain an authorized AP inventory and compare against each assessment

References

© 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/performing-wireless-security-assessment-with-kismet 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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Works with

Categories

Questions about Performing Wireless Security Assessment With Kismet

What does Performing Wireless Security Assessment With Kismet do?

Conduct wireless network security assessments using Kismet to detect rogue access points, hidden SSIDs, weak encryption, and unauthorized clients through passive RF monitoring. Performing Wireless Security Assessment With Kismet is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Conduct wireless network security assessments using Kismet to detect rogue access points, hidden SSIDs, weak encryption, and unauthorized clients through passive RF monitoring.

When should I use Performing Wireless Security Assessment With Kismet?

Performing Wireless Security Assessment With Kismet fits situations like: tasks that involve Security review; tasks that involve Network security.

How do I install Performing Wireless Security Assessment With Kismet in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-wireless-security-assessment-with-kismet -a claude-code`. Or copy the skill folder (skills/performing-wireless-security-assessment-with-kismet in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/performing-wireless-security-assessment-with-kismet in your project. Claude Code loads it when a task matches its description.

How do I install Performing Wireless Security Assessment With Kismet in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-wireless-security-assessment-with-kismet -a codex`. Or copy the skill folder (skills/performing-wireless-security-assessment-with-kismet in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/performing-wireless-security-assessment-with-kismet in your project. Codex loads it when a task matches its description.

Can I use Performing Wireless Security Assessment With Kismet 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 performing-wireless-security-assessment-with-kismet -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performing-wireless-security-assessment-with-kismet, .gemini/skills/performing-wireless-security-assessment-with-kismet, .github/skills/performing-wireless-security-assessment-with-kismet and .opencode/skills/performing-wireless-security-assessment-with-kismet in your project.

What does Performing Wireless Security Assessment With Kismet need to run?

Going by SKILL.md and its folder, Performing Wireless Security Assessment With Kismet needs Python for the scripts in its folder and the command-line tools its instructions call (curl and python3). Our summary lists: Python 3.

Does Performing Wireless Security Assessment With Kismet access the network?

SKILL.md names 4 domains. As links in the text: kismetwireless.net, cisa.gov, csrc.nist.gov and wi-fi.org. This is read from the text; nothing was executed.

Is Performing Wireless Security Assessment With Kismet safe to install?

Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. 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 Performing Wireless Security Assessment With Kismet use?

Performing Wireless Security Assessment With Kismet 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 Performing Wireless Security Assessment With Kismet use?

About 3.4k tokens (SKILL.md is roughly 13k 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 514 tokens, read only when the agent opens those files.

What are the alternatives to Performing Wireless Security Assessment With Kismet?

Skills that share tags, products or a category with Performing Wireless Security Assessment With Kismet: Kubernetes Network Security Audit (kubeshark/kubeshark, 12k stars), Robotics Security (arpitg1304/robotics-agent-skills, 369 stars), Security Hardening (chmonitor/chmonitor, 300 stars) and Security Auditor (curiositech/some_claude_skills, 244 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Performing Wireless Security Assessment With Kismet?

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.