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ferr079ferr079/claude-code-cybersec-skills/skills/wazuh-detection/SKILL.md

wazuh-detection

Skill0 starsChanged 32 days agoMITView on GitHub

Deploy and tune Wazuh endpoint detection: agent rollout, custom rules, file integrity monitoring, active response. Use when building or troubleshooting endpoint detection.

The file

We split this skill into the rules it gives an agent

6 rules. About 0 are common, 6 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈6

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When deploying or configuring implementing endpoint detection with wazuh capabilities in your environment

    line 15
  2. Distinctive:

    When establishing security controls aligned to compliance requirements

    line 16
  3. Distinctive:

    When building or improving security architecture for this domain

    line 17
  4. Distinctive:

    When conducting security assessments that require this implementation

    line 18
  5. Distinctive:

    Search alerts by rule ID, severity, agent, or time range.

    line 36
  6. Distinctive:

    Use the /logtest endpoint to validate decoder and rule logic against sample log lines.

    line 39

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Implementing Endpoint Detection with Wazuh

Overview

Wazuh is an open-source SIEM and XDR platform for endpoint monitoring, threat detection, and compliance. This skill covers managing agents via the Wazuh REST API, creating custom decoders and rules in XML for organization-specific detections, querying alerts, and testing rule logic using the logtest endpoint.

When to Use

  • When deploying or configuring implementing endpoint detection with wazuh 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

  • Wazuh Manager 4.x deployed with API enabled
  • Python 3.9+ with requests library
  • API credentials (username/password for JWT authentication)
  • Understanding of Wazuh decoder and rule XML syntax

Steps

Step 1: Authenticate to Wazuh API

Obtain JWT token via POST to /security/user/authenticate.

Step 2: List and Monitor Agents

Query agent status, versions, and last keep-alive via /agents endpoint.

Step 3: Query Security Alerts

Search alerts by rule ID, severity, agent, or time range.

Step 4: Test Custom Rules with Logtest

Use the /logtest endpoint to validate decoder and rule logic against sample log lines.

Expected Output

JSON report with agent inventory, alert statistics, rule coverage, and logtest validation results.

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