investigating-windows-endpoints

investigating-windows-endpoints is a skill for Claude Code from trilwu/secskills. It costs 186 tokens per session (5,042 once invoked), scanned A, original, MIT.

A guide for investigating suspicious or compromised Windows computers using files, registry data, event logs, and other recorded traces. It helps reconstruct what ran, when it ran, and what access or persistence was left behind.

In plain words
What is it for?
Examining live hosts or forensic collections, parsing EVTX and Sysmon logs, finding persistence and lateral movement, and identifying anti-forensics such as log clearing or changed timestamps.
Why use it?
A single Windows log can be missing, cleared, or misleading. Comparing independent sources creates a more reliable timeline of attacker activity.

Skill for Claude Code

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

Part of the secskills-defense plugin — 22 skills shipped together

Good fit Examining live hosts or forensic collections, parsing EVTX and Sysmon logs, finding persistence and lateral movement, and identifying anti-forensics such as log clearing or changed timestamps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/trilwu/secskills/investigating-windows-endpoints
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 trilwu/secskills --skill investigating-windows-endpoints
Clone the repo
git clone --depth 1 https://github.com/trilwu/secskills

Made for: Claude Code.

Or install secskills-defense, the plugin that ships this one along with the rest of its 22 skills.

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 investigating-windows-endpoints

README.md
[![agentmods](https://agentmods.dev/badge/skills/trilwu/secskills/investigating-windows-endpoints/github.svg)](https://agentmods.dev/skills/trilwu/secskills/investigating-windows-endpoints)
Your own site
<a href="https://agentmods.dev/skills/trilwu/secskills/investigating-windows-endpoints"><img src="https://agentmods.dev/badge/skills/trilwu/secskills/investigating-windows-endpoints/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 investigating-windows-endpoints

Your own site · 80×15
<a href="https://agentmods.dev/skills/trilwu/secskills/investigating-windows-endpoints"><img src="https://agentmods.dev/badge/skills/trilwu/secskills/investigating-windows-endpoints.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 186 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,042 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 pass 7 Sept 2026
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 $0.00186 $0.05042
Opus 5 $0.00093 $0.02521
Sonnet 5 $0.00037 $0.01008
Haiku 4.5 $0.00019 $0.00504

Measured 11d ago against content hash b29f073364e6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

investigating-windows-endpoints 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 11d 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.

secskills-defense/skills/investigating-windows-endpoints/SKILL.md · 364 lines

How it starts

The opening of the file, as written. The whole thing — 364 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Investigating Windows Endpoints

Windows records execution, persistence, and access in dozens of artifacts the attacker rarely cleans completely. The event logs are only the surface -- the registry, prefetch, amcache, and the file-system journals corroborate or contradict them. The investigation is cross-referencing independent artifacts into one timeline that no single cleared log can defeat.

When to Use

  • Triaging a compromised or suspicious Windows host, live or from an image
  • Working through a KAPE, Velociraptor, or EDR triage collection
  • Reconstructing what executed on a Windows machine and in what order
  • Parsing EVTX / Sysmon / PowerShell logs to reconstruct attacker activity
  • Hunting persistence and lateral-movement traces across the endpoint
  • Detecting timestomping, log clears, and other on-host anti-forensics

When NOT to Use

  • The host is Linux -- use analyzing-linux-persistence
  • You need the overall IR process and multi-host coordination -- use responding-to-incidents; come here when one Windows host is the focus
  • You have a RAM capture to work -- use analyzing-memory-images; come here for the on-disk artifacts
  • The compromise is in cloud identity, not on the endpoint -- use investigating-m365-entra
  • Proactive fleet-wide hunting with no specific host -- use hunting-threats
  • You are the attacker on the host, not the responder -- use escalating-windows-privileges

Triage Collection First

Do not analyze the live disk in place. Collect a triage set, hash it, and work on the copy. For most incidents a targeted triage collection answers the question faster than a full image; image only the hosts that matter.

Dead vs. live acquisition. A powered-off host or a mounted disk image is a dead acquisition -- consistent, but you lose running processes, network state, and unflushed logs. A live host lets you capture volatile state (memory, netstat -anob, Get-NetTCPConnection, tasklist /svc) but every action mutates the disk; record what you touch. Capture memory first if the host is live and "are they still here" is open, then hand it to analyzing-memory-images.

Read the full file on GitHub · 364 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. 11d ago First seen · 364 lines · 186 tokens per session scan A b29f073364e6

Subscribe to this mod's changes

investigating-windows-endpoints is a skill published in the GitHub repository trilwu/secskills (138 stars, last pushed 6d ago), licensed MIT. It adds 186 tokens to every session and 5,042 once invoked, about $0.0009 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.

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