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Agent skill

Implementing Endpoint Detection With Wazuh

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Deploys and configures Wazuh SIEM/XDR for endpoint detection, covering agent authentication and management, custom decoder and rule XML creation, alert querying via the Wazuh REST API, rule testing…

Apache-2.0Auto-check passedSecurity

Install Implementing Endpoint Detection With Wazuh

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-endpoint-detection-with-wazuh -a claude-code

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

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-endpoint-detection-with-wazuh --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-endpoint-detection-with-wazuh .claude/skills/implementing-endpoint-detection-with-wazuh && 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-endpoint-detection-with-wazuh
GitHub stars
34k
Token cost
~582 tokens
SKILL.md length
200 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Deploys and configures Wazuh SIEM/XDR for endpoint detection, covering agent authentication and management, custom decoder and rule XML creation, alert querying via the Wazuh REST API, rule testing…

  • Works in 4 steps: Authenticate to Wazuh API → List and Monitor Agents → Query Security Alerts → …
  • Setting up endpoint detection and response
  • SKILL.md covers Overview, When to Use, Prerequisites and Steps, plus 1 more section
  • Runs Python scripts from its folder

What it does

Implementing Endpoint Detection With Wazuh is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Deploys and configures Wazuh SIEM/XDR for endpoint detection, covering agent authentication and management, custom decoder and rule XML creation, alert querying via the Wazuh REST API, rule testing with wazuh-logtest, and automated active-response actions. Use when setting up endpoint detection and response, writing or testing custom Wazuh rules, or querying and triaging Wazuh alerts.

Its SKILL.md is about 580 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 operations, REST APIs and Authentication. 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

  • Setting up endpoint detection and response
  • Testing custom Wazuh rules
  • Querying and triaging Wazuh alerts

Example prompts

  • “Use the implementing-endpoint-detection-with-wazuh skill to deploy and configures Wazuh SIEM/XDR for endpoint detection, covering agent…”
  • “/implementing-endpoint-detection-with-wazuh”

Requirements

  • Python 3

Workflow steps

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

  1. Authenticate to Wazuh API
  2. List and Monitor Agents
  3. Query Security Alerts
  4. Test Custom Rules with Logtest

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 Endpoint Detection With Wazuh loads about 582 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 108 tokens; SKILL.md has 200 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~108
When it runs · the whole SKILL.md, loaded when a task matches
~582
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

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). 200 words, ~582 tokens.

Download SKILL.mdSave it as .claude/skills/implementing-endpoint-detection-with-wazuh/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
implementing-endpoint-detection-with-wazuh
description
Deploys and configures Wazuh SIEM/XDR for endpoint detection, covering agent authentication and management, custom decoder and rule XML creation, alert querying via the Wazuh REST API, rule testing with wazuh-logtest, and automated active-response actions. Use when setting up endpoint detection and response, writing or testing custom Wazuh rules, or querying and triaging Wazuh alerts.
domain
cybersecurity
subdomain
security-operations
tags
siem, xdr, wazuh, endpoint-detection, custom-rules, incident-response
version
1.0
author
mahipal
license
Apache-2.0
nist_ai_rmf
GOVERN-1.1, MEASURE-2.7, MANAGE-3.1, MANAGE-2.4, MEASURE-3.1
nist_csf
DE.CM-01, RS.MA-01, GV.OV-01, DE.AE-02
mitre_attack
T1078, T1190, T1059, T1685.002, T1685.005

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.

© 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-endpoint-detection-with-wazuh of mukul975/Anthropic-Cybersecurity-Skills.

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

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Implementing Endpoint Detection With Wazuh next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Implementing Endpoint Detection With Wazuh compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Implementing Endpoint Detection With Wazuh this skillmukul975/Anthropic-Cybersecurity-Skills34k—~582Automated safety check: PassApache-2.0
Security Reviewjewbetcha/opentrace11618 repos~3.1kAutomated safety check: NotesMIT
Defending Applicationstelagod/code-abyss244—~777Automated safety check: PassMIT
Security ProtocolNoobyGains/godmode109—~2.4kAutomated safety check: NotesMIT
Castai Install Authjeremylongshore/tons-of-skills-marketplace2.8k—~1.2kAutomated safety check: PassMIT
Laravel SpecialistJeffallan/claude-skills12k1 repos~2.1kAutomated safety check: PassMIT

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Categories

Questions about Implementing Endpoint Detection With Wazuh

What does Implementing Endpoint Detection With Wazuh do?

Deploys and configures Wazuh SIEM/XDR for endpoint detection, covering agent authentication and management, custom decoder and rule XML creation, alert querying via the Wazuh REST API, rule testing…. Implementing Endpoint Detection With Wazuh is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Deploys and configures Wazuh SIEM/XDR for endpoint detection, covering agent authentication and management, custom decoder and rule XML creation, alert querying via the Wazuh REST API, rule testing with wazuh-logtest, and automated active-response actions.

When should I use Implementing Endpoint Detection With Wazuh?

Implementing Endpoint Detection With Wazuh fits situations like: setting up endpoint detection and response; testing custom Wazuh rules; querying and triaging Wazuh alerts.

How do I install Implementing Endpoint Detection With Wazuh in Claude Code?

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

How do I install Implementing Endpoint Detection With Wazuh in Codex?

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

Can I use Implementing Endpoint Detection With Wazuh 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-endpoint-detection-with-wazuh -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-endpoint-detection-with-wazuh, .gemini/skills/implementing-endpoint-detection-with-wazuh, .github/skills/implementing-endpoint-detection-with-wazuh and .opencode/skills/implementing-endpoint-detection-with-wazuh in your project.

What does Implementing Endpoint Detection With Wazuh need to run?

Going by SKILL.md and its folder, Implementing Endpoint Detection With Wazuh needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Implementing Endpoint Detection With Wazuh 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 Endpoint Detection With Wazuh 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 Endpoint Detection With Wazuh use?

Implementing Endpoint Detection With Wazuh 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 Endpoint Detection With Wazuh use?

About 582 tokens (SKILL.md is roughly 2.3k 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 Implementing Endpoint Detection With Wazuh?

Skills that share tags, products or a category with Implementing Endpoint Detection With Wazuh: Security Review (jewbetcha/opentrace, 116 stars), Defending Applications (telagod/code-abyss, 244 stars), Security Protocol (NoobyGains/godmode, 109 stars) and Castai Install Auth (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implementing Endpoint Detection With Wazuh?

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.