What is the ReVa Deep Analysis skill?

It is a specialized capability for Claude Code that enables iterative, deep-dive investigations into binary files via the ReVa Ghidra MCP server.

What is the difference between triage and deep analysis?

Triage provides a broad survey of a binary, while Deep Analysis focuses intensely on a single question or function to provide evidence-backed conclusions.

How does it improve Ghidra databases?

The skill automatically renames variables, adjusts data types, and adds comments based on code patterns and API usage it discovers during analysis.

Does this skill require Ghidra to be installed?

Yes, this skill is designed to work with the ReVa MCP server, which acts as a bridge between Claude and your local Ghidra instance.

Can it identify specific malware behaviors?

Yes, it includes specialized strategies for uncovering cryptographic constants, network communication strings, and obfuscated logic patterns.

ReVa Deep Analysis

Name: ReVa Deep Analysis
Author: cyberkaida

bycyberkaida

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479

Security & Testing

Performs intensive, evidence-based reverse engineering investigations within Ghidra to decode complex binary behaviors and logic.

About

The ReVa Deep Analysis skill empowers Claude to act as a focused reverse engineering investigator within a Ghidra environment. Unlike broad triage, this skill follows a systematic depth-first loop of gathering context, refining the database through renaming and retyping, and following data-flow threads. It is designed to answer specific, high-stakes questions about binary behavior—such as identifying encryption algorithms, extracting C2 addresses, or reconstructing complex data structures—while providing verifiable evidence and maintainable documentation for future analysis.

Key Features

Context-aware cross-reference tracing and data-flow analysis
Iterative depth-first binary investigation and logic analysis
479 GitHub stars
Automated Ghidra database cleanup including variable renaming and retyping
Structured progress tracking using Ghidra bookmarks and analysis notes
Evidence-based identification of cryptographic patterns and C2 infrastructure

Use Cases

Identifying specific cryptographic algorithms and hardcoded keys within malware
Deciphering command-and-control (C2) communication protocols and server addresses
Improving decompilation readability by fixing types and function prototypes

About

Key Features

Context-aware cross-reference tracing and data-flow analysis
Iterative depth-first binary investigation and logic analysis
479 GitHub stars
Automated Ghidra database cleanup including variable renaming and retyping
Structured progress tracking using Ghidra bookmarks and analysis notes
Evidence-based identification of cryptographic patterns and C2 infrastructure

Use Cases

Identifying specific cryptographic algorithms and hardcoded keys within malware
Deciphering command-and-control (C2) communication protocols and server addresses
Improving decompilation readability by fixing types and function prototypes