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

analyzing-lnk-file-and-jump-list-artifacts is a skill for Claude Code, Codex from andycungkrinx91/konoha. It costs 56 tokens per session (3,168 once invoked), scanned A, a copy of analyzing-lnk-file-and-jump-list-artifacts, MIT.

A guide to examining Windows shortcut files and Jump Lists, which record recently opened files and programs. It uses LECmd, JLECmd, and manual file inspection to find signs of user activity.

In plain words
What is it for?
Use it to investigate Windows systems, identify accessed files and executed programs, and create or validate detection rules.
Why use it?
These records can show that a file was opened or a program ran, even after the original file has been deleted. This helps investigate security incidents and check whether monitoring detects related activity.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to investigate Windows systems, identify accessed files and executed programs, and create or validate detection rules.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/andycungkrinx91/konoha/analyzing-lnk-file-and-jump-list-artifacts
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add andycungkrinx91/konoha --skill analyzing-lnk-file-and-jump-list-artifacts
Clone the repo
git clone --depth 1 https://github.com/andycungkrinx91/konoha

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for analyzing-lnk-file-and-jump-list-artifacts

README.md
[![agentmods](https://agentmods.dev/badge/skills/andycungkrinx91/konoha/analyzing-lnk-file-and-jump-list-artifacts/github.svg)](https://agentmods.dev/skills/andycungkrinx91/konoha/analyzing-lnk-file-and-jump-list-artifacts)
Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/andycungkrinx91/konoha/analyzing-lnk-file-and-jump-list-artifacts"><img src="https://agentmods.dev/badge/skills/andycungkrinx91/konoha/analyzing-lnk-file-and-jump-list-artifacts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,168 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 86% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00056 $0.03168
Opus 5.5 $0.00022 $0.01267
Sonnet 5.5 $0.00011 $0.00634
Haiku 4.5 $0.00006 $0.00317

Measured today against content hash 609b0d44a866, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

analyzing-lnk-file-and-jump-list-artifacts scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/agent.py, scripts/process.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

86% identical to analyzing-lnk-file-and-jump-list-artifacts — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/akatsuki-skill/references/anthropic-cybersecurity-skills-assets/skills/analyzing-lnk-file-and-jump-list-artifacts/SKILL.md · 292 lines

How it starts

The opening of the file, as written. The whole thing — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Location Description
%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)

Offset Size Field
0x00 4 HeaderSize (always 0x0000004C)
0x04 16 LinkCLSID (always 00021401-0000-0000-C000-000000000046)
0x14 4 LinkFlags
0x18 4 FileAttributes
0x1C 8 CreationTime (FILETIME)
0x24 8 AccessTime (FILETIME)
0x2C 8 WriteTime (FILETIME)
0x34 4 FileSize of target
0x38 4 IconIndex
0x3C 4 ShowCommand
0x40 2 HotKey

Read the full file on GitHub · 292 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. today First seen · 292 lines · 56 tokens per session scan A 609b0d44a866

Subscribe to this mod's changes

analyzing-lnk-file-and-jump-list-artifacts is a skill published in the GitHub repository andycungkrinx91/konoha (12 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 3,168 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to analyzing-lnk-file-and-jump-list-artifacts, differing in 10 lines, and is treated as a copy.

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