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binary-triage二元分类

Agent Skill

binary-triage 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

2,221

周安装

89

GitHub Stars

713

下载量

719
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

2

许可证

unknown

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:binary-triage(二元分类)
来源仓库:https://github.com/cyberkaida/reverse-engineering-assistant
仓库路径:skills/binary-triage
安装命令:
npx skills add https://github.com/cyberkaida/reverse-engineering-assistant --skill binary-triage
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/cyberkaida/reverse-engineering-assistant --skill binary-triage

简介

系统化扫描二进制文件内存布局与导入表,标记可疑函数与异常行为。

  • 适合初步筛查恶意软件或未知程序,生成下一步分析任务清单。
  • 依赖 ReVa MCP 工具链,输出为结构化 JSON 便于自动化处理。
  • 不承诺深度解密,重点在于快速暴露潜在兴趣点供人工研判。
  • binary-triage 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Binary Triage

Instructions

We are triaging a binary to quickly understand what it does. This is an initial survey, not deep analysis. Our goal is to:

  1. Identify key components and behaviors
  2. Flag suspicious or interesting areas
  3. Create a task list of next steps for deeper investigation

Binary triage with ReVa

Follow this systematic workflow using ReVa's MCP tools:

1. Identify the Program

  • Use get-current-program to see the active program
  • Or use list-project-files to see available programs in the project
  • Note the programPath (e.g., "/Hatchery.exe") for use in subsequent tools

2. Survey Memory Layout

  • Use get-memory-blocks to understand the binary structure
  • Examine key sections:

- .text - executable code - .data - initialized data - .rodata - read-only data (strings, constants) - .bss - uninitialized data

  • Flag unusual characteristics:

- Unusually large sections - Packed/encrypted sections - Executable data sections - Writable code sections

3. Survey Strings

  • Use get-strings-count to see total string count
  • Use get-strings with pagination (100-200 strings at a time)
  • Look for indicators of functionality or malicious behavior:

- Network: URLs, IP addresses, domain names, API endpoints - File System: File paths, registry keys, configuration files - APIs: Function names, library references - Messages: Error messages, debug strings, log messages - Suspicious Keywords: admin, password, credential, token, crypto, encrypt, decrypt, download, execute, inject, shellcode, payload

4. Survey Symbols and Imports

  • Use get-symbols-count with includeExternal=true to count imports
  • Use get-symbols with includeExternal=true and filterDefaultNames=true
  • Focus on external symbols (imports from libraries)
  • Flag interesting/suspicious imports by category:

- Network APIs: connect, send, recv, WSAStartup, getaddrinfo, curl_*, socket - File I/O: CreateFile, WriteFile, ReadFile, fopen, fwrite, fread - Process Manipulation: CreateProcess, exec, fork, system, WinExec, ShellExecute - Memory Operations: VirtualAlloc, VirtualProtect, mmap, mprotect - Crypto: CryptEncrypt, CryptDecrypt, EVP_*, AES_*, bcrypt, RC4 - Anti-Analysis: IsDebuggerPresent, CheckRemoteDebuggerPresent, ptrace - Registry: RegOpenKey, RegSetValue, RegQueryValue

  • Note the ratio of imports to total symbols (heavy import usage may indicate reliance on libraries)

5. Survey Functions

  • Use get-function-count with filterDefaultNames=true to count named functions
  • Use get-function-count with filterDefaultNames=false to count all functions
  • Calculate ratio of named vs unnamed functions (high unnamed ratio = stripped binary)
  • Use get-functions with filterDefaultNames=true to list named functions
  • Identify key functions:

- Entry points: entry, start, _start - Main functions: main, WinMain, DllMain, _main - Suspicious names: If not stripped, look for revealing function names

6. Cross-Reference Analysis for Key Findings

  • For interesting strings found in Step 3:

- Use find-cross-references with direction="to" and includeContext=true - Identify which functions reference suspicious strings

  • For suspicious imports found in Step 4:

- Use find-cross-references with direction="to" and includeContext=true - Identify which functions call suspicious APIs

  • This helps prioritize which functions need detailed examination

7. Selective Initial Decompilation

  • Use get-decompilation on entry point or main function

- Set limit=30 to get ~30 lines initially - Set includeIncomingReferences=true to see callers - Set includeReferenceContext=true for context snippets

  • Use get-decompilation on 1-2 suspicious functions identified in Step 6

- Set limit=20-30 for quick overview

  • Look for high-level patterns:

- Loops (encryption/decryption routines) - Network operations - File operations - Process creation - Suspicious control flow (obfuscation indicators)

  • Do not do deep analysis yet - this is just to understand general behavior

8. Document Findings and Create Task List

  • Use the TodoWrite tool to create an actionable task list with items like:

- "Investigate string 'http://malicious-c2.com' (referenced at 0x00401234)" - "Decompile function sub_401000 (calls VirtualAlloc + memcpy + CreateThread)" - "Analyze crypto usage in function encrypt_payload (uses CryptEncrypt)" - "Trace anti-debugging checks (IsDebuggerPresent at 0x00402000)" - "Examine packed section.UPX0 for unpacking routine"

  • Each todo should be:

- Specific (include addresses, function names, strings) - Actionable (what needs to be investigated) - Prioritized (most suspicious first)

Output Format

Present triage findings to the user in this structured format:

Program Overview

  • Name: [Program name from programPath]
  • Type: [Executable type - PE, ELF, Mach-O, etc.]
  • Platform: [Windows, Linux, macOS, etc.]

Memory Layout

  • Total Size: [Size in bytes/KB/MB]
  • Key Sections: [List main sections with sizes and permissions]
  • Unusual Characteristics: [Any packed/encrypted/suspicious sections]

String Analysis

  • Total Strings: [Count from get-strings-count]
  • Notable Findings: [Bullet list of interesting strings with context]
  • Suspicious Indicators: [URLs, IPs, suspicious keywords found]

Import Analysis

  • Total Symbols: [Count from get-symbols-count]
  • External Imports: [Count of external symbols]
  • Key Libraries: [Main libraries imported]
  • Suspicious APIs: [Categorized list of concerning imports]

Function Analysis

  • Total Functions: [Count with filterDefaultNames=false]
  • Named Functions: [Count with filterDefaultNames=true]
  • Stripped Status: [Yes/No based on ratio]
  • Entry Point: [Address and name]
  • Main Function: [Address and name]
  • Key Functions: [List of important functions identified]

Suspicious Indicators

[Bulleted list of red flags discovered, prioritized by severity]

Recommended Next Steps

[Present the task list created in Step 8]

  • Each item should be specific and actionable
  • Prioritize by severity/importance
  • Include addresses, function names, and context

Important Notes

  • Speed over depth: This is triage, not full analysis. Move quickly through steps.
  • Use pagination: Don't request thousands of strings/functions at once. Use chunks of 100-200.
  • Focus on anomalies: Flag things that are unusual, suspicious, or interesting.
  • Context is key: When using cross-references, enable includeContext=true for code snippets.
  • Create actionable todos: Each next step should be specific enough for another agent to execute.
  • Be systematic: Follow all 8 steps in order for comprehensive coverage.

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

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

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

Codex

39.92%
按下载量换算287

Claude

28.75%
按下载量换算207

Cursor

18.71%
按下载量换算135

Gemini CLI

10.1%
按下载量换算73

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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