Yara L Skill

Yara L Skill is an AI agent skill for writing, reviewing, tuning, and converting Google SecOps YARA-L 2.0 detection rules.

Yara L Skill is an agent skill that teaches AI coding agents how to write, review, tune, and convert YARA-L 2.0 detection rules for Google Security Operations. Users provide a threat description, an ATT&CK technique, a Sigma rule, or an SPL and KQL query to receive complete YARA-L 2.0 rules with meta, outcome, and risk score details. The tool outputs UDM fields to verify, reference lists, data tables with sample rows, test cases, and false positive tuning advice. It also includes an offline linter that checks section order, metadata event types, integer field comparisons, event variables, outcome fields, absence conditions, and regex patterns. The project is licensed under the MIT license and works with various AI coding agents and clients.

Yara L Skill at a glance

Best for: Software engineer
Runs on: Web, CLI, VS Code, API, self-hosted, open source
Pricing: Free
Released: October 2026
Category: AI coding tool
Website: github.com/ajaynyayapathi/yara-l-skill

Key features

Write and convert YARA-L 2.0 detection rules
Review and tune security rules
Include UDM fields for parser verification
Generate reference lists and data tables
Provide should fire and should not fire tests
Identify false positive sources
Run an offline linter for rule validation

Use it for

Convert Sigma rules to YARA-L 2.0
Generate detection rules from threat descriptions
Tune security rules to reduce false positives
Validate rules using an offline linter

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