yara-skill

Author, review, and optimize YARA rules for malware detection.

60|9|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/YARAHQ/yara-rule-skill --skill yara-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: yara-skill
Source: https://github.com/YARAHQ/yara-rule-skill/tree/main/yara-rule-skill
Command: npx skills add https://github.com/YARAHQ/yara-rule-skill --skill yara-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yara-x, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill empowers users to create, refine, and optimize YARA rules, transforming their LLM agent into an expert in malware detection rule writing.

Core Features & Use Cases

  • Rule Authoring: Generate high-quality, performant YARA rules from scratch.
  • Rule Review: Assess existing rules for quality, performance, and adherence to best practices.
  • Optimization: Identify and fix performance bottlenecks in slow YARA rules.
  • Validation: Ensure rules meet automated quality checks from yaraQA.
  • Use Case: A security analyst needs to write a new YARA rule to detect a specific malware artifact. They can use this Skill to draft the rule, ensuring it follows naming conventions, uses appropriate strings, and is optimized for performance.

Quick Start

Use the yara-skill to review the following YARA rule for potential improvements.

Frequently Asked Questions about yara-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write a YARA rule for malware detection?

To write a YARA rule for malware detection, provide your detection logic to the Skill, which converts it into syntax while applying best practices for naming conventions, string selection, and condition optimization. It outputs a performant, ready-to-use rule.

What are the best practices for YARA rule optimization?

YARA rule optimization involves selecting appropriate strings, refining condition logic, and applying performance tuning to eliminate bottlenecks. This Skill reviews existing rules against these best practices to ensure high-quality, performant malware detection.

Why does my YARA rule perform slowly during threat hunting?

Slow YARA rule performance during threat hunting often stems from unoptimized condition logic or poor string selection. The Skill analyzes existing rules to identify and fix these performance bottlenecks, ensuring efficient malware detection.

How can I validate YARA rules against automated quality checks?

Validating YARA rules against automated quality checks is handled by integrating yaraQA standards. The Skill assesses existing rules to ensure they meet these quality checks, verifying naming conventions and condition optimization for reliable security analysis.

Does yara-x support rule review and performance tuning?

Yes, using the yara-x dependency, this Skill supports comprehensive rule review and performance tuning. It evaluates existing YARA rules for adherence to best practices and identifies optimization opportunities for malware detection.