rev-methodology

Structure reverse engineering engagements from scope to replay with a defined directory layout.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/Xerrion/opencode --skill rev-methodology
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rev-methodology
Source: https://github.com/Xerrion/opencode/tree/main/skills/rev-methodology
Command: npx skills add https://github.com/Xerrion/opencode --skill rev-methodology

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reverse engineering engagements often suffer from inconsistency and lack of auditable processes. rev-methodology provides a structured lifecycle with a defined directory layout and documentation to standardize work across teams.

Core Features & Use Cases

  • Defines the .rev/ directory layout (config.yaml, samples/, disasm/, reports/) and the engagement lifecycle (scope, triage, static, dynamic, artifact authoring, report, replay).
  • Provides a per-sample reporting framework and replay workflow to ensure reproducibility and traceability.
  • Useful for security researchers, incident responders, and firmware analysts executing repeatable RE engagements.

Quick Start

Run this methodology at the start of every reverse-engineering engagement to enforce consistent practices.

Frequently Asked Questions about rev-methodology

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I standardize reverse engineering workflows across multiple firmware samples?

Standardize reverse engineering workflows by defining a .rev directory layout with a config.yaml schema, triage checklists, and per-sample reports to ensure repeatable, auditable analyses across samples.

What is a structured reverse engineering engagement lifecycle for malware triage?

A structured reverse engineering engagement lifecycle spans scope, triage, static analysis, dynamic analysis, artifact authoring, report generation, and replay to ensure traceability and reproducibility.

How do I make protocol reverse engineering results reproducible and auditable?

Make protocol reverse engineering reproducible by using a defined replay workflow and per-sample reporting framework that documents the engagement lifecycle from scope to replay.

Can I use this methodology for both static and dynamic analysis of firmware?

Yes, the methodology supports both static and dynamic analysis stages for firmware analysis, malware triage, and protocol reverse engineering across multiple samples and lifecycle stages.

What's the best way to document a reverse engineering engagement for incident response teams?

Document reverse engineering engagements using a standardized .rev directory structure containing config.yaml, samples, disassembly outputs, and reports to enforce consistent practices across incident response teams.

When do I need a structured replay workflow for reverse engineering?

You need a structured replay workflow when performing reverse engineering engagements that require reproducibility and traceability across multiple samples, ensuring analyses can be verified and audited.