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extract-elf提取精灵

Agent Skill

extract-elf 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

840

周安装

35

GitHub Stars

93

下载量

280
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:extract-elf(提取精灵)
来源仓库:https://github.com/letta-ai/skills
仓库路径:skills/extract-elf
安装命令:
npx skills add https://github.com/letta-ai/skills --skill extract-elf
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/letta-ai/skills --skill extract-elf

简介

用于解析 ELF 二进制文件头部、段表及提取指定数据段内容。

  • 适合逆向工程、固件分析或二进制数据处理任务。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 使用时需验证文件格式并提供准确的偏移或虚拟地址范围。
  • 操作前应确认文件来源合法性,防止误用恶意样本。
  • extract-elf 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

ELF Binary Data Extraction

This skill provides guidance for tasks involving extraction of data from ELF binary files, including reading headers, parsing segments, and converting binary content to structured output formats.

Approach Overview

ELF extraction tasks typically require:

  1. Parsing the ELF header to understand file structure
  2. Reading program headers to identify LOAD segments
  3. Extracting data from segments at correct virtual addresses
  4. Converting binary data to the required output format

Implementation Steps

Step 1: Validate ELF Header

Before processing, verify the file is a valid ELF binary:

  • Check magic bytes at offset 0: 0x7F 'E' 'L' 'F' (hex: 7f 45 4c 46)
  • Identify ELF class (32-bit vs 64-bit) at offset 4
  • Identify endianness at offset 5 (1 = little-endian, 2 = big-endian)

Step 2: Parse ELF Header Fields

Extract key header fields based on ELF class:

For 32-bit ELF:

  • Program header offset: bytes 28-31
  • Program header entry size: bytes 42-43
  • Number of program headers: bytes 44-45

For 64-bit ELF:

  • Program header offset: bytes 32-39
  • Program header entry size: bytes 54-55
  • Number of program headers: bytes 56-57

Step 3: Process Program Headers

Iterate through program headers and identify LOAD segments (type = 1):

  • Extract virtual address (p_vaddr)
  • Extract file offset (p_offset)
  • Extract file size (p_filesz)
  • Extract memory size (p_memsz)

Step 4: Extract Segment Data

For each LOAD segment:

  • Read data from file at p_offset
  • Map data to virtual addresses starting at p_vaddr
  • Handle alignment and padding as specified

Critical Data Type Considerations

Signed vs Unsigned Integers

This is the most common source of errors in binary extraction tasks.

When reading multi-byte integer values from binary data:

  • Memory addresses are always unsigned
  • Size fields are always unsigned
  • Data values should typically be read as unsigned unless the task explicitly requires signed interpretation

Common API distinctions:

  • Node.js Buffer: readUInt32LE vs readInt32LE
  • Python struct: 'I' (unsigned) vs 'i' (signed)
  • C/C++: uint32_t vs int32_t

Verification: If output contains negative numbers but the expected output shows only positive integers, the wrong signedness was used.

Endianness

Match the endianness specified in the ELF header:

  • Little-endian (most common on x86/x64): Use LE variants
  • Big-endian: Use BE variants

Integer Sizes

ELF fields vary by class:

  • 32-bit ELF: addresses and offsets are 4 bytes
  • 64-bit ELF: addresses and offsets are 8 bytes

Verification Strategies

Before Declaring Success

  1. Validate output format: Ensure JSON is well-formed, keys are correct types
  2. Check address ranges: Verify addresses fall within expected segment boundaries
  3. Sample value verification: Manually compute expected values for a few addresses using hex inspection tools

Manual Verification Commands

Use these tools to verify extracted values:

# View ELF header information
readelf -h <binary>

# View program headers (segments)
readelf -l <binary>

# Dump section contents in hex
objdump -s <binary>

# View raw hex bytes at specific offset
xxd -s <offset> -l <length> <binary>

# Calculate expected value from hex bytes (little-endian example)
# For bytes: 41 42 43 44 -> value = 0x44434241 = 1145258561

Value Sanity Checks

  • If the example output shows only positive integers, verify output contains no negative values
  • Compare a few computed values against manual hex calculation
  • Verify address coverage matches expected segment ranges

Common Pitfalls

  1. Using signed integer reads for unsigned data - Results in negative numbers for values with high bit set (e.g., -98693133 instead of 4196274163)
  2. Incorrect endianness handling - Produces completely wrong values; verify against ELF header byte 5
  3. Off-by-one errors in segment boundaries - Carefully track whether sizes are inclusive/exclusive
  4. Assuming 4-byte alignment - Check if segment sizes are multiples of the read size; handle partial reads at boundaries
  5. Mixing 32-bit and 64-bit field sizes - Always check ELF class and use appropriate field sizes
  6. Overconfidence without verification - Never assume "values are read directly from binary, so they should match" - always verify sample values manually

Output Format Considerations

When producing structured output (e.g., JSON):

  • Use string keys for addresses if they need to be JSON object keys (JSON requires string keys)
  • Ensure integer values are within JavaScript/JSON safe integer range (2^53 - 1 for full precision)
  • Consider whether addresses should be decimal or hexadecimal strings based on task requirements

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

31.4%
按下载量换算88

Gemini CLI

22.59%
按下载量换算63

Codex

16.52%
按下载量换算46

Antigravity

14.68%
按下载量换算41

OpenCode

7.81%
按下载量换算22

windsurf

3.55%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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