YARA Rules Skill
SkillCloud & infraYARA rule creation, testing, and deployment
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the YARA Rules Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/security-research/skills/yara-rules/SKILL.md and read by ahel’s review.
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
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
yara-rules-skill- Source
- github.com/a5c-ai/babysitter
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