Implementing endpoint detection with wazuh
Skill onfire7777/universal-ai-skills-library/skills/implementing-endpoint-detection-with-wazuh
Router-first AI skill system for Codex, Claude, Cursor, Hermes, Paperclip, OpenCode, and local AI stacks: search, preflight-route, and load 1,812 skills on demand without duplicating the corpus.
npx -y skills add onfire7777/universal-ai-skills-library --skill implementing-endpoint-detection-with-wazuhAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 13 stars13 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Deploy and configure Wazuh SIEM/XDR for endpoint detection including agent management, custom decoder and rule XML creation, alert querying via the Wazuh REST API, and automated response actions.
The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
1.9 KB, as published. Nobody here has run it
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
requestslibrary - 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.