Agent skill

Configuring Snort Ids For Intrusion Detection

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Installs, configures, and tunes Snort 3 to monitor network traffic for malicious activity using custom and community rulesets, preprocessors, and alert output plugins.

Apache-2.0Auto-check: notesSecurity

Install Configuring Snort Ids For Intrusion Detection

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill configuring-snort-ids-for-intrusion-detection -a claude-code

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

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills configuring-snort-ids-for-intrusion-detection --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/configuring-snort-ids-for-intrusion-detection .claude/skills/configuring-snort-ids-for-intrusion-detection && 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
configuring-snort-ids-for-intrusion-detection
GitHub stars
34k
Token cost
~3.5k tokens
SKILL.md length
665 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Installs, configures, and tunes Snort 3 to monitor network traffic for malicious activity using custom and community rulesets, preprocessors, and alert output plugins.

  • Works in 7 steps: Install and Verify Snort 3 → Configure Network Interfaces → Configure Snort 3 with Lua Configuration → …
  • Deploying network-based intrusion detection at key boundaries
  • SKILL.md covers When to Use, Prerequisites, Workflow and Key Concepts, plus 3 more sections
  • Runs Python scripts from its folder; calls make, git and python3; reaches github.com and snort.org

What it does

Configuring Snort Ids For Intrusion Detection is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Installs, configures, and tunes Snort 3 to monitor network traffic for malicious activity using custom and community rulesets, preprocessors, and alert output plugins. Use when deploying network-based intrusion detection at key boundaries, writing custom Snort rules, tuning rulesets to reduce false positives, or integrating Snort alerts with a SIEM.

Its SKILL.md is about 3.5k 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 Network security and Security operations. 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 network-based intrusion detection at key boundaries
  • Writing custom Snort rules
  • Tuning rulesets to reduce false positives
  • Integrating Snort alerts with a SIEM

Example prompts

  • “/configuring-snort-ids-for-intrusion-detection”

Requirements

  • Python 3

Workflow steps

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

  1. Install and Verify Snort 3
  2. Configure Network Interfaces
  3. Configure Snort 3 with Lua Configuration
  4. Download and Configure Rulesets
  5. Write Custom Detection Rules
  6. Validate Configuration and Run
  7. Monitor Alerts and Tune Rules

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:

    • make
    • git
    • python3
    • apt
    • wget

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com
    • snort.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

Configuring Snort Ids For Intrusion Detection loads about 3.5k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 99 tokens; SKILL.md has 665 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.1k

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: notes

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

  • NoteRuns commands with sudoSKILL.md:60
    sudo apt install -y build-essential libpcap-dev libpcre3-dev libnet1-dev \
  • NoteRuns commands with sudoSKILL.md:68
    && ./bootstrap && ./configure && make && sudo make install
  • NoteRuns commands with sudoSKILL.md:73
    cd build && make -j$(nproc) && sudo make install
  • NoteRuns commands with sudoSKILL.md:74
    sudo ldconfig
  • NoteRuns commands with sudoSKILL.md:84
    sudo ethtool -K eth1 gro off lro off tso off gso off rx off tx off
  • NoteRuns commands with sudoSKILL.md:87
    sudo ip link set eth1 promisc on
  • NoteRuns commands with sudoSKILL.md:90
    sudo tee /etc/systemd/system/snort-iface.service << 'EOF'
  • NoteRuns commands with sudoSKILL.md:105
    sudo systemctl enable snort-iface.service
  • NoteRuns commands with sudoSKILL.md:112
    sudo mkdir -p /usr/local/etc/snort/{rules,builtin_rules,lists,appid}
  • NoteRuns commands with sudoSKILL.md:113
    sudo mkdir -p /var/log/snort

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). 665 words, ~3,501 tokens.

Download SKILL.mdSave it as .claude/skills/configuring-snort-ids-for-intrusion-detection/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
configuring-snort-ids-for-intrusion-detection
description
Installs, configures, and tunes Snort 3 to monitor network traffic for malicious activity using custom and community rulesets, preprocessors, and alert output plugins. Use when deploying network-based intrusion detection at key boundaries, writing custom Snort rules, tuning rulesets to reduce false positives, or integrating Snort alerts with a SIEM.
domain
cybersecurity
subdomain
network-security
tags
network-security, snort, ids, intrusion-detection, rule-writing
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, T1071.001, T1572, T1210, T1048

Configuring Snort IDS for Intrusion Detection

When to Use

  • Deploying a network-based intrusion detection system to monitor traffic at key network boundaries
  • Writing custom Snort rules to detect organization-specific threats, attack patterns, or policy violations
  • Tuning existing rulesets to reduce false positives while maintaining detection coverage
  • Integrating Snort alerts with SIEM platforms for centralized security monitoring
  • Validating network security controls by generating test traffic and confirming detection

Do not use as a replacement for endpoint detection, for monitoring encrypted traffic without TLS inspection, or as the sole security control without complementary defenses.

Prerequisites

  • Snort 3.x installed from source or package manager (snort --version to verify)
  • Network interface configured for promiscuous mode on a span port or network tap
  • DAQ (Data Acquisition Library) installed for packet capture integration
  • Registered Snort account for downloading Snort Subscriber (paid) or Community rulesets from snort.org
  • PulledPork 3 or similar rule management tool for automated ruleset updates
  • Sufficient CPU and memory for inline traffic inspection at line rate

Workflow

Step 1: Install and Verify Snort 3
bash
# Install dependencies (Ubuntu/Debian)
sudo apt install -y build-essential libpcap-dev libpcre3-dev libnet1-dev \
  zlib1g-dev luajit hwloc libdumbnet-dev bison flex libcmocka-dev \
  libnetfilter-queue-dev libmnl-dev autotools-dev libluajit-5.1-dev \
  pkg-config cmake libhwloc-dev liblzma-dev openssl libssl-dev cpputest \
  libsqlite3-dev uuid-dev

# Install DAQ from source
git clone https://github.com/snort3/libdaq.git
cd libdaq && ./bootstrap && ./configure && make && sudo make install

# Install Snort 3
git clone https://github.com/snort3/snort3.git
cd snort3 && ./configure_cmake.sh --prefix=/usr/local
cd build && make -j$(nproc) && sudo make install
sudo ldconfig

# Verify installation
snort -V
Step 2: Configure Network Interfaces
bash
# Disable offloading features that interfere with packet inspection
sudo ethtool -K eth1 gro off lro off tso off gso off rx off tx off

# Enable promiscuous mode
sudo ip link set eth1 promisc on

# Create systemd service for persistent interface configuration
sudo tee /etc/systemd/system/snort-iface.service << 'EOF'
[Unit]
Description=Configure Snort capture interface
Before=snort.service

[Service]
Type=oneshot
ExecStart=/sbin/ethtool -K eth1 gro off lro off tso off gso off rx off tx off
ExecStart=/sbin/ip link set eth1 promisc on
RemainAfterExit=yes

[Install]
WantedBy=multi-user.target
EOF

sudo systemctl enable snort-iface.service
Step 3: Configure Snort 3 with Lua Configuration
bash
# Create Snort directory structure
sudo mkdir -p /usr/local/etc/snort/{rules,builtin_rules,lists,appid}
sudo mkdir -p /var/log/snort

# Edit the main Snort configuration
sudo tee /usr/local/etc/snort/snort.lua << 'LUAEOF'
-- Snort 3 Configuration

-- Network variables
HOME_NET = '10.10.0.0/16'
EXTERNAL_NET = '!$HOME_NET'

-- Path variables
RULE_PATH = '/usr/local/etc/snort/rules'
BUILTIN_RULE_PATH = '/usr/local/etc/snort/builtin_rules'

-- Configure DAQ
daq = {
    module_dirs = { '/usr/local/lib/daq' },
    modules = { { name = 'afpacket', variables = { 'buffer_size_mb=256' } } }
}

-- Decoder configuration
normalizer = { tcp = { ips = true } }

-- Stream inspection
stream = { }
stream_tcp = { policy = 'linux', session_timeout = 180 }
stream_udp = { session_timeout = 30 }
stream_icmp = { }

-- HTTP inspection
http_inspect = { }

-- DNS inspection
dns = { }

-- SSL/TLS inspection
ssl = { }

-- SMB inspection
dce_smb = { }

-- File identification and processing
file_id = { rules_file = '/usr/local/etc/snort/file_magic.rules' }

-- Port scan detection
port_scan = {
    protos = 'all',
    scan_types = 'all',
    memcap = 10000000
}

-- Reputation-based filtering
-- reputation = {
--     blacklist = RULE_PATH .. '/blocklist.rules'
-- }

-- IPS rules
ips = {
    enable_builtin_rules = true,
    include = RULE_PATH .. '/snort3-community.rules',
    variables = {
        nets = { HOME_NET = HOME_NET, EXTERNAL_NET = EXTERNAL_NET },
        ports = {
            HTTP_PORTS = '80 8080 8443',
            SSH_PORTS = '22',
            DNS_PORTS = '53'
        }
    }
}

-- Alert output
alert_fast = {
    file = true,
    packet = false,
    limit = 100
}

-- Unified2 output for Barnyard2/SIEM integration
-- alert_unified2 = { limit = 128 }

-- JSON alert output
alert_json = {
    file = true,
    limit = 100,
    fields = 'timestamp pkt_num proto pkt_gen pkt_len dir src_addr src_port dst_addr dst_port service rule action'
}

-- Syslog output
-- alert_syslog = { level = 'info', facility = 'local1' }

LUAEOF
Step 4: Download and Configure Rulesets
bash
# Download Snort 3 Community Rules
wget https://www.snort.org/downloads/community/snort3-community-rules.tar.gz
tar xzf snort3-community-rules.tar.gz
sudo cp snort3-community-rules/snort3-community.rules /usr/local/etc/snort/rules/

# Install PulledPork 3 for automated rule management
git clone https://github.com/shirkdog/pulledpork3.git
cd pulledpork3
sudo python3 setup.py install

# Configure PulledPork
sudo tee /usr/local/etc/pulledpork3/pulledpork.conf << 'EOF'
registered_ruleset = true
oinkcode = <YOUR_OINK_CODE>
snort_path = /usr/local/bin/snort
local_rules = /usr/local/etc/snort/rules/local.rules
sorule_path = /usr/local/etc/snort/so_rules/
snort_version = 3.0.0.0
blocklist_path = /usr/local/etc/snort/lists/
pid_path = /var/run/snort.pid
ips_policy = balanced
EOF

# Run PulledPork to fetch and process rules
sudo pulledpork3 -c /usr/local/etc/pulledpork3/pulledpork.conf
Step 5: Write Custom Detection Rules
bash
# Create local rules file
sudo tee /usr/local/etc/snort/rules/local.rules << 'EOF'
# Detect reverse shell on common ports
alert tcp $HOME_NET any -> $EXTERNAL_NET 4444 (
    msg:"LOCAL Possible Reverse Shell on port 4444";
    flow:established,to_server;
    content:"/bin/sh"; nocase;
    sid:1000001; rev:1;
    classtype:trojan-activity;
    priority:1;
)

# Detect Mimikatz execution indicators over SMB
alert tcp any any -> $HOME_NET 445 (
    msg:"LOCAL Mimikatz Lateral Movement via SMB";
    flow:established,to_server;
    content:"|FF|SMB";
    content:"mimikatz"; nocase; distance:0;
    sid:1000002; rev:1;
    classtype:trojan-activity;
    priority:1;
)

# Detect DNS tunneling (high-entropy long subdomain queries)
alert udp $HOME_NET any -> any 53 (
    msg:"LOCAL Possible DNS Tunneling - Long Query Name";
    content:"|01 00|"; offset:2; depth:2;
    byte_test:1,>,50,12;
    sid:1000003; rev:1;
    classtype:policy-violation;
    priority:2;
)

# Detect cleartext password transmission via FTP
alert tcp $HOME_NET any -> any 21 (
    msg:"LOCAL FTP Cleartext Password Detected";
    flow:established,to_server;
    content:"PASS "; depth:5;
    sid:1000004; rev:1;
    classtype:policy-violation;
    priority:2;
)

# Detect potential port scan (SYN flood pattern)
alert tcp $EXTERNAL_NET any -> $HOME_NET any (
    msg:"LOCAL Possible Port Scan SYN Flood";
    flow:stateless;
    flags:S,12;
    threshold:type both, track by_src, count 100, seconds 10;
    sid:1000005; rev:1;
    classtype:attempted-recon;
    priority:2;
)
EOF
Step 6: Validate Configuration and Run
bash
# Validate configuration
snort -c /usr/local/etc/snort/snort.lua --daq-dir /usr/local/lib/daq -T

# Run Snort in IDS mode on the capture interface
sudo snort -c /usr/local/etc/snort/snort.lua --daq-dir /usr/local/lib/daq \
  -i eth1 -l /var/log/snort -D

# Test rules against a PCAP file
snort -c /usr/local/etc/snort/snort.lua --daq-dir /usr/local/lib/daq \
  -r test_traffic.pcap -l /var/log/snort/test/ -A fast

# Create systemd service for production deployment
sudo tee /etc/systemd/system/snort.service << 'EOF'
[Unit]
Description=Snort 3 IDS
After=network.target snort-iface.service

[Service]
Type=simple
ExecStart=/usr/local/bin/snort -c /usr/local/etc/snort/snort.lua --daq-dir /usr/local/lib/daq -i eth1 -l /var/log/snort -D
ExecReload=/bin/kill -SIGHUP $MAINPID
Restart=on-failure

[Install]
WantedBy=multi-user.target
EOF

sudo systemctl enable --now snort.service
Step 7: Monitor Alerts and Tune Rules
bash
# View real-time alerts
tail -f /var/log/snort/alert_fast.txt

# Parse JSON alerts for analysis
cat /var/log/snort/alert_json.txt | python3 -m json.tool

# Identify top triggered rules for tuning
grep -oP 'sid:\d+' /var/log/snort/alert_fast.txt | sort | uniq -c | sort -rn | head -20

# Suppress noisy false-positive rules
sudo tee -a /usr/local/etc/snort/rules/suppress.rules << 'EOF'
suppress gen_id 1, sig_id 2100498, track by_src, ip 10.10.1.100
suppress gen_id 1, sig_id 2100366, track by_dst, ip 10.10.5.0/24
EOF

# Verify rule count and performance
snort -c /usr/local/etc/snort/snort.lua --daq-dir /usr/local/lib/daq -T 2>&1 | grep -i "rules loaded"

Key Concepts

TermDefinition
IDS vs IPSIDS passively monitors traffic and generates alerts; IPS sits inline and can actively block or drop malicious packets in real time
Snort RuleDetection signature with header (action, protocol, src/dst, ports) and options (content matches, flow direction, metadata) that triggers on matching traffic
PreprocessorSnort component that normalizes and reassembles protocol-specific traffic before rule inspection, handling fragmentation, stream reassembly, and protocol anomalies
DAQ (Data Acquisition)Abstraction layer in Snort 3 that interfaces with packet capture mechanisms (AF_PACKET, PCAP, NFQ) for receiving network data
Oink CodePersonal registration code from snort.org required to download Snort Subscriber or Registered rulesets
Threshold/SuppressionTuning mechanisms that control alert frequency (threshold) or completely silence alerts from specific sources/destinations (suppress)

Tools & Systems

  • Snort 3: Open-source network intrusion detection and prevention system with Lua-based configuration and multithreaded architecture
  • PulledPork 3: Automated Snort rule management tool that downloads, processes, and deploys rulesets with policy-based filtering
  • Barnyard2: Dedicated spooler that reads Snort's unified2 binary output and writes to databases (MySQL, PostgreSQL) for SIEM integration
  • Snorby: Web-based Snort alert management console providing dashboards, event classification, and reporting
  • tcpreplay: Tool for replaying PCAP files through Snort to validate rules and test detection capabilities
Show full SKILL.md (258 more words)Show less

Common Scenarios

Scenario: Deploying Snort IDS at a Network Perimeter for Compliance

Context: A healthcare organization needs to deploy network IDS to meet HIPAA technical safeguard requirements. The IDS must monitor traffic between the DMZ and internal network, detect common attack patterns, and forward alerts to the existing Splunk SIEM. The network carries approximately 500 Mbps of traffic during peak hours.

Approach:

  1. Install Snort 3 on a dedicated sensor with dual NICs -- one for monitoring (span port from core switch) and one for management
  2. Configure AF_PACKET DAQ with a 512 MB ring buffer to handle peak throughput without drops
  3. Deploy Snort Community rules plus Emerging Threats Open ruleset as baseline detection
  4. Write custom rules for organization-specific threats: detection of PHI data patterns (SSN, MRN formats) leaving the network, unauthorized access to DICOM/HL7 ports, and connections to known bad IP lists
  5. Configure JSON alert output and forward to Splunk via syslog using rsyslog
  6. Run Snort against 24 hours of captured baseline traffic to identify false positives, then create suppression rules for legitimate traffic patterns
  7. Enable Snort as a systemd service with automatic restart and log rotation

Pitfalls:

  • Deploying all available rules without tuning, overwhelming the sensor and SOC with thousands of daily false positives
  • Forgetting to disable NIC offloading, causing Snort to miss packets due to checksum errors or jumbo frames
  • Not sizing the sensor hardware for peak traffic, leading to packet drops during high-volume periods
  • Relying solely on community rules without custom rules for organization-specific threats and compliance requirements

Output Format

## Snort IDS Deployment Report

**Sensor**: snort-sensor-01 (10.10.1.250)
**Interface**: eth1 (span port from Core-SW1 gi0/24)
**Configuration**: /usr/local/etc/snort/snort.lua
**Ruleset**: Snort Community 3.0 + Local Rules (1,247 active rules)
**HOME_NET**: 10.10.0.0/16

### Detection Summary (24-hour baseline)

| Category | Alert Count | Top Rule SID |
|----------|-------------|--------------|
| Attempted Recon | 342 | 1:2100498 (ICMP ping) |
| Trojan Activity | 12 | 1:1000001 (Reverse shell) |
| Policy Violation | 87 | 1:1000004 (FTP cleartext) |
| Web Application Attack | 23 | 1:2100654 (SQL injection) |

### Tuning Actions Taken
- Suppressed SID 2100498 for 10.10.1.100 (monitoring server legitimate ICMP)
- Thresholded SID 1000004 to 5 alerts per source per hour
- Added 3 custom rules for PHI exfiltration detection

© 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/configuring-snort-ids-for-intrusion-detection 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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Categories

Questions about Configuring Snort Ids For Intrusion Detection

What does Configuring Snort Ids For Intrusion Detection do?

Installs, configures, and tunes Snort 3 to monitor network traffic for malicious activity using custom and community rulesets, preprocessors, and alert output plugins. Configuring Snort Ids For Intrusion Detection is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Installs, configures, and tunes Snort 3 to monitor network traffic for malicious activity using custom and community rulesets, preprocessors, and alert output plugins.

When should I use Configuring Snort Ids For Intrusion Detection?

Configuring Snort Ids For Intrusion Detection fits situations like: deploying network-based intrusion detection at key boundaries; writing custom Snort rules; tuning rulesets to reduce false positives; integrating Snort alerts with a SIEM.

How do I install Configuring Snort Ids For Intrusion Detection in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill configuring-snort-ids-for-intrusion-detection -a claude-code`. Or copy the skill folder (skills/configuring-snort-ids-for-intrusion-detection in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/configuring-snort-ids-for-intrusion-detection in your project. Claude Code loads it when a task matches its description.

How do I install Configuring Snort Ids For Intrusion Detection in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill configuring-snort-ids-for-intrusion-detection -a codex`. Or copy the skill folder (skills/configuring-snort-ids-for-intrusion-detection in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/configuring-snort-ids-for-intrusion-detection in your project. Codex loads it when a task matches its description.

Can I use Configuring Snort Ids For Intrusion Detection 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 configuring-snort-ids-for-intrusion-detection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/configuring-snort-ids-for-intrusion-detection, .gemini/skills/configuring-snort-ids-for-intrusion-detection, .github/skills/configuring-snort-ids-for-intrusion-detection and .opencode/skills/configuring-snort-ids-for-intrusion-detection in your project.

What does Configuring Snort Ids For Intrusion Detection need to run?

Going by SKILL.md and its folder, Configuring Snort Ids For Intrusion Detection needs Python for the scripts in its folder and the command-line tools its instructions call (make, git, python3, apt and wget). Our summary lists: Python 3.

Does Configuring Snort Ids For Intrusion Detection access the network?

SKILL.md names 2 domains. In commands or code: github.com and snort.org; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Configuring Snort Ids For Intrusion Detection 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 Configuring Snort Ids For Intrusion Detection use?

Configuring Snort Ids For Intrusion Detection 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 Configuring Snort Ids For Intrusion Detection use?

About 3.5k tokens (SKILL.md is roughly 14k 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 562 tokens, read only when the agent opens those files.

What are the alternatives to Configuring Snort Ids For Intrusion Detection?

Skills that share tags, products or a category with Configuring Snort Ids For Intrusion Detection: Kubernetes Network Security Audit (kubeshark/kubeshark, 12k stars), TShark Traffic Analysis (AgentSecOps/SecOpsAgentKit, 220 stars), Incident Response Network (LeoYeAI/openclaw-master-skills, 2.2k stars) and Security Alert Triage (elastic/agent-skills, 592 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Configuring Snort Ids For Intrusion Detection?

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.