What is binary-archaeologist?
Reverse engineers legacy binaries and "black box" executables to extract logic and dependencies. Re-integrates lost institutional assets into modern codebases. Source: famaoai-creator/gemini-skills.
Reverse engineers legacy binaries and "black box" executables to extract logic and dependencies. Re-integrates lost institutional assets into modern codebases.
Quickly install binary-archaeologist AI skill to your development environment via command line
Source: famaoai-creator/gemini-skills.
This skill shines a light into the "dark corners" of your system where source code is missing.
Reverse engineers legacy binaries and "black box" executables to extract logic and dependencies. Re-integrates lost institutional assets into modern codebases. Source: famaoai-creator/gemini-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/famaoai-creator/gemini-skills --skill binary-archaeologist Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Security certified for safe and reliable code One-click installation with simplified configuration Compatible with Claude Code, Cursor, OpenClaw, and more
Stable fields and commands for AI/search citations.
npx skills add https://github.com/famaoai-creator/gemini-skills --skill binary-archaeologistReverse engineers legacy binaries and "black box" executables to extract logic and dependencies. Re-integrates lost institutional assets into modern codebases. Source: famaoai-creator/gemini-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/famaoai-creator/gemini-skills --skill binary-archaeologist Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/famaoai-creator/gemini-skills