---
name: yara-rules-skill-2ad6d7f1598b
description: YARA rule creation, testing, and deployment
allowed-tools:
  - Bash
  - Read
  - Write
  - Edit
  - Glob
  - Grep
graph:
  domains: [domain:cybersecurity]
  specializations: [specialization:security-research]
  skillAreas: [skill-area:threat-intelligence-hunting, skill-area:endpoint-security-edr]
  roles: [role:security-engineer]
  workflows: [workflow:vulnerability-management, workflow:penetration-testing-cycle]
---

# 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


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Dave AI resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Data & Analytics, Development & Engineering
Roles: Data Scientist, ML / AI Engineer, Security Engineer
Specialties: API
Tools: Yara Python, Virustotal Api, Yara Cli
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 33386de63180d03339255e988b9e513636ef2da08fae7f50cb18c014f53f277c