Yara Authoring
Plugin AktivYARA-X detection rule authoring with linting and quality analysis
To empower users to write high-quality, efficient, and accurate YARA-X detection rules by providing expert guidance, analysis tools, and best practices.
Funktionen
- Expert YARA-X rule authoring guidance
- Rule linting and quality analysis
- String quality evaluation
- YARA-X migration support
- Analysis of Chrome extensions and Android DEX files
Anwendungsfälle
- Writing new YARA-X rules for malware detection
- Reviewing and optimizing existing YARA rules
- Converting threat intelligence into detection signatures
- Debugging false positive issues in YARA rules
Nicht-Ziele
- Static analysis requiring disassembly
- Dynamic malware analysis
- Network-based detection
- Memory forensics
Trust
- warning:Issues Attention13 issues opened and 4 closed in the last 90 days indicates a low closure rate (24%), suggesting maintainers are slow to respond to open issues.
Installation
Zuerst Marketplace hinzufügen
/plugin marketplace add trailofbits/skills/plugin install yara-authoring@trailofbitsQualitätspunktzahl
Vertrauenssignale
Ähnliche Erweiterungen
Dotforge Stack Python Fastapi
100Python 3.12+ with FastAPI, async/await, type hints, and Ruff linting rules for Claude Code.
Karpathy Coder
100Active coding discipline enforcer based on Karpathy's 4 principles: surface assumptions, keep it simple, make surgical changes, define verifiable goals. Ships 4 Python tools (complexity_checker, diff_surgeon, assumption_linter, goal_verifier), a review agent, /karpathy-check slash command, and a pre-commit hook. All tools stdlib-only.
Skill Optimizer
99Analysiert und optimiert Ihre Agent Skills (SKILL.md) mithilfe von Sitzungsdaten und forschungsgestützten statischen Prüfungen. Funktioniert mit Claude Code, Codex und jedem Agent Skills-kompatiblen Agenten.
Python Development
98Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices
Skills Janitor
987 Werkzeuge zur Bereinigung von Skill-Hygiene: Audit, Gesundheitsbericht, automatische Korrektur, Nutzungsverfolgung, Token-Kostenanalyse, GitHub-Suche und Überprüfung von Überlappungen vor der Installation.
AgentLint
98Prüfen Sie, wie gut Ihr Repository KI-Codierungsagenten unterstützt.