A complete, reusable skill execution framework that manages the lifecycle of the GDA server (start/stop) and translates high-level LLM function calls into GDA commands over TCP. It includes a builder for command mapping, error handling, and thread-safe client connections. Can be extracted and adapted to wrap any socket-based CLI tool for AI-driven analysis.

A standalone Python client for the GDA server with presets (triage, malware, full) and parametric command support. It handles server startup, command execution, and structured output. The code is modular, with clear error handling and encoding fallbacks. Reusable for any tool that exposes a socket interface for binary analysis.

A minimal but robust TCP client for GDA server communication. It handles length-prefixed responses and encoding. Simple enough to be a template for similar tools, though less feature-rich than gda_analyze.py.

A domain-specific rule definition file for GDA's static vulnerability scanner. Rules use a simple syntax with properties like id, rule expression, type, vname, vlevel, description, and returnType. This format could be extracted and reused as a lightweight rule engine for other static analysis tools (e.g., to define custom checks on API patterns or manifest conditions).