LLM Agent Skill for YARA rule authoring and review
npx skills add https://github.com/yarahq/yara-rule-skill --skill yara-skillInstallieren Sie diesen Skill über die CLI und beginnen Sie mit der Verwendung des SKILL.md-Workflows in Ihrem Arbeitsbereich.
An LLM Agent Skill for expert YARA rule authoring, review, and optimization. Embeds industry best practices from the creator of YARA-Forge and yaraQA into your AI assistant's context.
The yara-rule-skill transforms your LLM agent into a YARA rule expert, capable of:
All through natural language conversation — just paste a rule and ask.
# Clone the repository
git clone https://github.com/YARAHQ/yara-rule-skill.git
# Copy to your agent's skills folder
cp -r yara-rule-skill ~/.openclaw/skills/
# Clone the repository
git clone https://github.com/YARAHQ/yara-rule-skill.git
cd yara-rule-skill
# Package the skill
python3 scripts/package_skill.py .
# Install the packaged skill
cp yara-rule-skill.skill ~/.openclaw/skills/
This skill works with any LLM agent that supports skill files:
~/.openclaw/skills/Once installed, the skill activates automatically when you discuss YARA rules. Just ask:
"Review this YARA rule and suggest improvements"
The skill analyzes:
MAL_, HKTL_, SUSP_, etc.)"Assess the quality of this rule I found online"
The skill checks against 20+ automated quality checks:
"This rule causes performance issues, why?"
The skill identifies:
.*, .+)The skill combines three authoritative sources into your agent's context:
The skill teaches the $x*, $s*, $a*, $fp* naming convention:
| Prefix | Purpose | Example Usage |
|---|---|---|
$x* |
Highly specific (unique) | 1 of ($x*) — triggers on signature |
$s* |
Grouped strings | all of ($s*) — need multiple matches |
$a* |
Pre-selection (file type) | $a1 — narrows to PE files first |
$fp* |
False positive filters | not 1 of ($fp*) — exclude benign |
rule MAL_APT_CozyBear_ELF_Loader_Apr18 {
// MAL = Malware
// APT = Nation state actor
// CozyBear = Threat actor name
// ELF = Linux platform
// Loader = Malware type
// Apr18 = Date (April 2018)
}
The skill covers all 20 yaraQA issue IDs:
Logic Errors: CE1, SM1-6, DS1, CS1, DU1
Performance: PA1-2, RE1, CF1-2, PI1, NC1, NO1, MO1
Style: SV1-2
Resources: HS1-4
See TEST_ASSESSMENT.md for real-world rule reviews from public repositories.
yara-rule-skill/
├── SKILL.md # Main skill file
├── references/
│ ├── performance.md # Performance optimization guide
│ ├── style.md # Style and naming conventions
│ └── yaraqa-checks.md # Complete yaraQA check reference
├── scripts/
│ └── package_skill.py # Packaging script
└── README.md # This file
Visit https://YARAHQ.github.io/yara-rule-skill-site/ for:
Contributions welcome! Areas to help:
This skill is derived from Florian Roth's YARA guides and yaraQA tool. See individual source repositories for licensing details.