extract-elf

Extract memory values and segment information from ELF binary files.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/Zurybr/lefarma-skills --skill extract-elf
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: extract-elf
Source: https://github.com/Zurybr/lefarma-skills/tree/main/letta/benchmarks/trajectory-only/extract-elf
Command: npx skills add https://github.com/Zurybr/lefarma-skills --skill extract-elf

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the complex task of extracting specific memory values and segment information from ELF (Executable and Linkable Format) binary files, which is crucial for reverse engineering, debugging, and security analysis.

Core Features & Use Cases

  • ELF Header Parsing: Understand the structure and metadata of ELF files.
  • Segment Extraction: Isolate and extract data from LOAD segments, including virtual addresses and raw byte values.
  • Use Case: Analyze a compiled program to find specific data structures or code segments by extracting their memory addresses and content.

Quick Start

Use the extract-elf skill to extract memory values from the binary file named 'my_program'.

Frequently Asked Questions about extract-elf

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

FAQPage Schema
How do I extract memory values and segment information from an ELF binary?▼

To extract memory values from an ELF binary, parse the ELF headers and process LOAD segments to isolate virtual addresses and raw byte values. This allows you to extract specific address-value pairs from compiled programs.

Does ELF binary parsing handle both 32-bit and 64-bit architectures?▼

ELF binary parsing handles both 32-bit and 64-bit architectures by adjusting for structural differences. It also accounts for data endianness to ensure memory values and segment information are interpreted correctly across different system layouts.

What is the best way to convert binary data from LOAD segments into structured formats?▼

The best way to convert binary data from LOAD segments into structured formats is to parse program headers, extract virtual address and value pairs, and map the raw binary data into JSON for reverse engineering and debugging.

Can I use ELF segment parsing for reverse engineering and security analysis?▼

You can use ELF segment parsing for reverse engineering and security analysis by isolating LOAD segments to find specific data structures or code segments. This extracts memory addresses and content crucial for binary analysis.

Why do I need to parse ELF headers before extracting program segments?▼

Parsing ELF headers is required before extracting program segments because headers provide the structural metadata and file layout. Understanding this structure is essential for accurately processing LOAD segments and handling architecture specifics.

What are the limitations when processing ELF binaries for memory extraction?▼

Limitations when processing ELF binaries for memory extraction include correctly handling 32-bit versus 64-bit architecture differences and managing endianness properly. Failing to account for these variations can result in inaccurate address-value pairs.