Anthropic Cybersecurity Skills is a library of structured cybersecurity procedures for AI agents, covering security domains and mappings to established security frameworks. It is for authorized security analysis, penetration testing, incident response, research, defense, and education across compatible AI platforms. The catalogue entries package parts of this library as agent skills, instructions, or a plugin.
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.
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-lnk-file-and-jump-list-artifactsgit clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-SkillsWrote 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.
[](https://agentmods.dev/skills/mukul975/anthropic-cybersecurity-skills/analyzing-lnk-file-and-jump-list-artifacts)<a href="https://agentmods.dev/skills/mukul975/anthropic-cybersecurity-skills/analyzing-lnk-file-and-jump-list-artifacts"><img src="https://agentmods.dev/badge/skills/mukul975/anthropic-cybersecurity-skills/analyzing-lnk-file-and-jump-list-artifacts/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/skills/mukul975/anthropic-cybersecurity-skills/analyzing-lnk-file-and-jump-list-artifacts"><img src="https://agentmods.dev/badge/skills/mukul975/anthropic-cybersecurity-skills/analyzing-lnk-file-and-jump-list-artifacts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 5 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 111 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 114 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 117 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 262 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 292 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00092 | $0.03203 |
| Opus 5 | $0.00046 | $0.01602 |
| Sonnet 5 | $0.00018 | $0.00641 |
| Haiku 4.5 | $0.00009 | $0.00320 |
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 13d ago.
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.
Copies of this mod
7 near-identical copies found in the catalogue:
- analyzing-lnk-file-and-jump-list-artifacts — 100% identical, 0 lines differ
- analyzing-lnk-file-and-jump-list-artifacts — 89% identical, 29 lines differ
- analyzing-lnk-file-and-jump-list-artifacts — 89% identical, 29 lines differ
- analyzing-lnk-file-and-jump-list-artifacts — 89% identical, 29 lines differ
- analyzing-lnk-file-and-jump-list-artifacts — 89% identical, 13 lines differ
- analyzing-lnk-file-and-jump-list-artifacts — 86% identical, 108 lines differ
- analyzing-lnk-file-and-jump-list-artifacts — 86% identical, 10 lines differ
How it starts
The opening of the file, as written. The whole thing — 294 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 |
What ships with it
7 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.
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.
- 13d ago First seen · 294 lines · 92 tokens per session scan A e52cda9d1646
analyzing-lnk-file-and-jump-list-artifacts is a skill published in the GitHub repository mukul975/Anthropic-Cybersecurity-Skills (32,631 stars, last pushed 12d ago), licensed Apache-2.0. It adds 92 tokens to every session and 3,203 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
analyzing-lnk-file-and-jump-list-artifacts
Analyze Windows LNK shortcut files and Jump List artifacts to establish evidence of file access, program execution, and user activity using LECmd, JLECmd, and manual binary parsing of the Shell Link Binary format.
analyzing-lnk-file-and-jump-list-artifacts
A guide to examining Windows shortcut files and Jump Lists, which record recently opened files and some application activity. It uses forensic tools and manual file-format analysis to collect evidence from Windows systems.
analyzing-lnk-file-and-jump-list-artifacts
Analyze Windows LNK shortcut files and Jump List artifacts to establish evidence of file access, program execution, and user activity using LECmd, JLECmd, and manual binary parsing of the Shell Link Binary format.
analyzing-lnk-file-and-jump-list-artifacts
Analyze Windows LNK shortcut files and Jump List artifacts to establish evidence of file access, program execution, and user activity using LECmd, JLECmd, and manual binary parsing of the Shell Link Binary format.
analyzing-lnk-file-and-jump-list-artifacts
Analyze Windows LNK shortcut files and Jump List artifacts to establish evidence of file access, program execution, and user activity using LECmd, JLECmd, and manual binary parsing of the Shell Link Binary format.
analyzing-lnk-file-and-jump-list-artifacts
Analyze Windows LNK shortcut files and Jump List artifacts to establish evidence of file access, program execution, and user activity using LECmd, JLECmd, and manual binary parsing of the Shell Link Binary format.