Best use case
YARA Rules Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
YARA rule creation, testing, and deployment
Teams using YARA Rules Skill should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/yara-rules/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How YARA Rules Skill Compares
| Feature / Agent | YARA Rules Skill | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
YARA rule creation, testing, and deployment
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# YARA Rules Skill ## Overview This skill provides capabilities for YARA rule creation, testing, and deployment for malware detection and threat hunting. ## Capabilities - Generate YARA rules from samples - Validate YARA rule syntax - Test rules against sample sets - Optimize rules for performance - Create rule metadata and documentation - Support YARA modules (PE, ELF, etc.) - Integrate with VirusTotal YARA - Generate Sigma rules for correlation ## Target Processes - malware-analysis.js - threat-intelligence-research.js - security-tool-development.js ## Dependencies - YARA CLI - yara-python library - VirusTotal API (optional) - Sample malware corpus (for testing) ## Usage Context This skill is essential for: - Malware detection rule development - Threat hunting operations - IOC-based detection - Malware family classification - Automated sample triage ## Integration Notes - Rules can be tested against known good/bad samples - Performance metrics help optimize detection speed - Supports rule versioning and documentation - Can export to multiple detection platforms - Integrates with YARA-L for Chronicle
Related Skills
clinical-decision-support-rules
Develop and maintain clinical decision support rules including alerts, reminders, order sets, and evidence-based recommendations within EHR systems
process-builder
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
babysitter
Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)
yolo
Run Babysitter autonomously with minimal manual interruption.
user-install
Install the user-level Babysitter Codex setup.
team-install
Install the team-pinned Babysitter Codex workspace setup.
retrospect
Summarize or retrospect on a completed Babysitter run.
resume
Resume an existing Babysitter run from Codex.
project-install
Install the Babysitter Codex workspace integration into the current project.
plan
Plan a Babysitter workflow without executing the run.
observe
Observe, inspect, or monitor a Babysitter run.
model
Inspect or change Babysitter model-routing policy by phase.