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Agent Skill · 研究检索

analyzing-lnk-file-and-jump-list-artifacts(分析 lnk 文件和跳转列表工件)

analyzing-lnk-file-and-jump-list-artifacts 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。

analyzing-lnk-file-and-jump-list-artifacts 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 44,750。

总安装 894周安装 38GitHub Stars 5,912下载 313核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:analyzing-lnk-file-and-jump-list-artifacts(分析 lnk 文件和跳转列表工件)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/analyzing-lnk-file-and-jump-list-artifacts
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill analyzing-lnk-file-and-jump-list-artifacts
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/mukul975/anthropic-cybersecurity-skills --skill analyzing-lnk-file-and-jump-list-artifacts

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

解析 Windows LNK 快捷方式和跳转列表中的文件访问与执行证据。提取目标路径、时间戳、MAC 地址等元数据用于行为重建。适用于数字取证,需离线访问文件或注册表信息。注意环境隔离,防止潜在恶意代码执行风险。

analyzing-lnk-file-and-jump-list-artifacts 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/analyzing-lnk-file-and-jump-list-artifacts

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skil…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

analyzing-lnk-file-and-jump-list-artifacts 怎么安装?

在终端执行 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill analyzin…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

analyzing-lnk-file-and-jump-list-artifacts 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

analyzing-lnk-file-and-jump-list-artifacts 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill analyzing-lnk-file-and-jump-list-artifacts 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

analyzing-lnk-file-and-jump-list-artifacts 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

analyzing-lnk-file-and-jump-list-artifacts 用的人多吗?

公开数据是累计安装 894 次,近一周安装 38 次,下载 313 次,GitHub 5,912 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

analyzing-lnk-file-and-jump-list-artifacts 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 5,912 星,维护活跃度相对可查。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
analyzing-lnk-file-and-jump-list-artifacts

分析 lnk 文件和跳转列表工件 · 本页

8945,912执行命令未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Analyzing LNK File and Jump List Artifacts

Overview

Windows LNK (shortcut) files and Jump Lists are critical forensic artifacts that provide evidence of file access, program execution, and user behavior. LNK files are created automatically when a user opens a file through Windows Explorer or the Open/Save dialog, storing metadata about the target file including its original path, timestamps, volume serial number, NetBIOS name, and MAC address of the host system. Jump Lists, introduced in Windows 7, extend this by maintaining per-application lists of recently and frequently accessed files. These artifacts persist even after the target files are deleted, making them invaluable for establishing that a user accessed specific files at specific times.

When to Use

  • When investigating security incidents that require analyzing lnk file and jump list artifacts
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • LECmd (Eric Zimmerman) for LNK file parsing
  • JLECmd (Eric Zimmerman) for Jump List parsing
  • Python 3.8+ with pylnk3 or LnkParse3 libraries
  • Forensic image or triage collection from Windows system
  • Timeline Explorer for CSV analysis

LNK File Locations

LocationDescription
%USERPROFILE%\AppData\Roaming\Microsoft\Windows\Recent\Recent files accessed
%USERPROFILE%\Desktop\User-created shortcuts
%USERPROFILE%\AppData\Roaming\Microsoft\Windows\Start Menu\Start Menu shortcuts
%USERPROFILE%\AppData\Roaming\Microsoft\Office\Recent\Office recent documents

LNK File Structure

Shell Link Header (76 bytes)

OffsetSizeField
0x004HeaderSize (always 0x0000004C)
0x0416LinkCLSID (always 00021401-0000-0000-C000-000000000046)
0x144LinkFlags
0x184FileAttributes
0x1C8CreationTime (FILETIME)
0x248AccessTime (FILETIME)
0x2C8WriteTime (FILETIME)
0x344FileSize of target
0x384IconIndex
0x3C4ShowCommand
0x402HotKey

Key Forensic Fields in LNK Files

  • Target file timestamps: Creation, access, modification times of the referenced file
  • Volume information: Serial number, drive type, volume label
  • Network share information: UNC path, share name
  • Machine identifiers: NetBIOS name, MAC address (from TrackerDataBlock)
  • Distributed Link Tracking: Machine ID and object GUID

Analysis with EZ Tools

LECmd - LNK File Parser

# Parse all LNK files in Recent folder
LECmd.exe -d "C:\Evidence\Users\suspect\AppData\Roaming\Microsoft\Windows\Recent" --csv C:\Output --csvf lnk_analysis.csv

# Parse a single LNK file with full details
LECmd.exe -f "C:\Evidence\Users\suspect\Desktop\Confidential.docx.lnk" --json C:\Output

# Parse LNK files with additional detail levels
LECmd.exe -d "C:\Evidence\Users\suspect\AppData\Roaming\Microsoft\Windows\Recent" --csv C:\Output --csvf lnk_all.csv --all

JLECmd - Jump List Parser

# Parse Automatic Jump Lists
JLECmd.exe -d "C:\Evidence\Users\suspect\AppData\Roaming\Microsoft\Windows\Recent\AutomaticDestinations" --csv C:\Output --csvf jumplists_auto.csv

# Parse Custom Jump Lists
JLECmd.exe -d "C:\Evidence\Users\suspect\AppData\Roaming\Microsoft\Windows\Recent\CustomDestinations" --csv C:\Output --csvf jumplists_custom.csv

# Parse all jump lists with detailed output
JLECmd.exe -d "C:\Evidence\Users\suspect\AppData\Roaming\Microsoft\Windows\Recent\AutomaticDestinations" --csv C:\Output --csvf jumplists_auto.csv --ld

Jump List Structure

Automatic Destinations (automaticDestinations-ms)

These are OLE Compound files (Structured Storage) identified by AppID hash in the filename:

AppID HashApplication
5f7b5f1e01b83767Windows Explorer Pinned/Frequent
1b4dd67f29cb1962Windows Explorer Recent
9b9cdc69c1c24e2bNotepad
a7bd71699cd38d1cNotepad++
12dc1ea8e34b5a6Microsoft Paint
7e4dca80246863e3Control Panel
1cf97c38a5881255Microsoft Edge
f01b4d95cf55d32aWindows Explorer
9d1f905ce5044aeeMicrosoft Excel
a4a5324453625195Microsoft Word
d00655d2aa12ff6dMicrosoft PowerPoint
bc03160ee1a59fc1Outlook

Custom Destinations (customDestinations-ms)

Created when users pin items to application jump lists. These files contain sequential LNK entries.

Python Analysis Script

import struct
import os
from datetime import datetime, timedelta

FILETIME_EPOCH = datetime(1601, 1, 1)

def filetime_to_datetime(filetime_bytes: bytes) -> datetime:
    """Convert Windows FILETIME (100-ns intervals since 1601) to datetime."""
    ft = struct.unpack("<Q", filetime_bytes)[0]
    if ft == 0:
        return None
    return FILETIME_EPOCH + timedelta(microseconds=ft // 10)

def parse_lnk_header(lnk_path: str) -> dict:
    """Parse the Shell Link header from an LNK file."""
    with open(lnk_path, "rb") as f:
        header = f.read(76)

    header_size = struct.unpack("<I", header[0:4])[0]
    if header_size != 0x4C:
        return {"error": "Invalid LNK header"}

    link_flags = struct.unpack("<I", header[0x14:0x18])[0]
    file_attrs = struct.unpack("<I", header[0x18:0x1C])[0]

    result = {
        "header_size": header_size,
        "link_flags": hex(link_flags),
        "file_attributes": hex(file_attrs),
        "creation_time": filetime_to_datetime(header[0x1C:0x24]),
        "access_time": filetime_to_datetime(header[0x24:0x2C]),
        "write_time": filetime_to_datetime(header[0x2C:0x34]),
        "file_size": struct.unpack("<I", header[0x34:0x38])[0],
        "has_target_id_list": bool(link_flags & 0x01),
        "has_link_info": bool(link_flags & 0x02),
        "has_name": bool(link_flags & 0x04),
        "has_relative_path": bool(link_flags & 0x08),
        "has_working_dir": bool(link_flags & 0x10),
        "has_arguments": bool(link_flags & 0x20),
        "has_icon_location": bool(link_flags & 0x40),
    }
    return result

Investigation Use Cases

Evidence of File Access

  1. Parse LNK files from Recent folder to identify accessed documents
  2. Cross-reference with MFT timestamps and USN Journal entries
  3. Note that LNK files persist even after target files are deleted

Removable Media Access

  1. LNK files referencing drive letters E:, F:, G: indicate removable media usage
  2. Volume serial number in LNK identifies the specific device
  3. MAC address in TrackerDataBlock identifies the source machine

Network Share Activity

  1. LNK files with UNC paths (\server\share) indicate network file access
  2. NetBIOS name identifies the remote server
  3. Timestamps establish when access occurred

Differences Between Windows 10 and Windows 11

Recent research (IEEE 2025) shows that Windows 11 produces different LNK and Jump List artifacts:

  • Fewer automatic LNK files generated for certain file types
  • Modified Jump List behavior for modern applications
  • UWP/MSIX applications may not generate traditional Jump Lists
  • Windows 11 Quick Access replaces some Recent functionality

References

Example Output

$ LECmd.exe -d "C:\Evidence\Users\jsmith\AppData\Roaming\Microsoft\Windows\Recent" --csv /analysis/lnk_output

LECmd v1.11.0 - LNK File Parser
================================

Processing 47 LNK files...

--- LNK File: Q4_Report.xlsx.lnk ---
  Source:           C:\Evidence\Users\jsmith\Recent\Q4_Report.xlsx.lnk
  Target Path:      C:\Users\jsmith\Downloads\Q4_Report.xlsm
  Target Created:   2024-01-15 14:33:45 UTC
  Target Modified:  2024-01-15 14:33:45 UTC
  Target Accessed:  2024-01-15 14:35:12 UTC
  File Size:        251,904 bytes
  Drive Type:       Fixed (C:)
  Volume Serial:    A4E7-3F21
  Machine ID:       DESKTOP-J5M1TH
  MAC Address:      48:2A:E3:5C:9B:01

--- LNK File: update_client.exe.lnk ---
  Source:           C:\Evidence\Users\jsmith\Recent\update_client.exe.lnk
  Target Path:      C:\ProgramData\Updates\update_client.exe
  Target Created:   2024-01-15 14:34:02 UTC
  Target Modified:  2024-01-15 14:34:02 UTC
  Target Accessed:  2024-01-15 14:36:30 UTC
  File Size:        1,258,496 bytes
  Drive Type:       Fixed (C:)
  Volume Serial:    A4E7-3F21
  Machine ID:       DESKTOP-J5M1TH
  Working Dir:      C:\ProgramData\Updates
  Arguments:        --silent --no-update-check
  Run Window:       Hidden

======================================================================

$ JLECmd.exe -d "C:\Evidence\Users\jsmith\AppData\Roaming\Microsoft\Windows\Recent\AutomaticDestinations" --csv /analysis/jumplist_output

JLECmd v1.5.0 - Jump List Parser
==================================

Processing 23 AutomaticDestinations files...

--- Application: Microsoft Excel (AppID: 12dc1ea8e34b5a6) ---
  Entries: 15
  Most Recent:
    Entry 0:  C:\Users\jsmith\Downloads\Q4_Report.xlsm         (2024-01-15 14:35:12 UTC)
    Entry 1:  \\FILESERV01\Finance\Budget_2024.xlsx             (2024-01-14 09:22:30 UTC)
    Entry 2:  C:\Users\jsmith\Documents\Expenses\Dec2023.xlsx   (2024-01-10 16:45:00 UTC)

--- Application: Windows Explorer (AppID: f01b4d95cf55d32a) ---
  Entries: 28
  Most Recent:
    Entry 0:  C:\ProgramData\Updates\                           (2024-01-15 14:36:25 UTC)
    Entry 1:  E:\Backup\                                        (2024-01-15 15:30:00 UTC)
    Entry 2:  \\FILESERV01\HR\Employees\                        (2024-01-15 16:12:45 UTC)

--- Application: cmd.exe (AppID: 9b9cdc69c1c24e2b) ---
  Entries: 5
  Most Recent:
    Entry 0:  C:\Windows\System32\cmd.exe                       (2024-01-15 14:36:00 UTC)

Summary:
  Total LNK files processed:    47
  Total Jump List entries:       156
  Suspicious artifacts:          3 (hidden window execution, USB drive access, network shares)
  CSV exported to:               /analysis/lnk_output/ and /analysis/jumplist_output/

平台分布

Codex

36.4%
按下载量换算114

Claude

27.05%
按下载量换算85

Cursor

20.01%
按下载量换算63

Gemini CLI

9.13%
按下载量换算29

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill analyzing-lnk-file-and-jump-list-artifacts 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。目前只有一个公开来源,建议同时核对源仓库。

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