analyzing-windows-shellbag-artifacts

analyzing-windows-shellbag-artifacts is a skill for Claude Code, Codex from xalgorix/xalgorix. It costs 50 tokens per session (2,636 once invoked), scanned A, original, Apache-2.0.

A forensic analysis guide for Windows Shellbags, registry records that show how folders were viewed in Windows Explorer and related dialogs. These records can help reveal access to deleted folders, USB drives, network shares, and archives.

In plain words
What is it for?
Use it in security investigations, threat hunting, and monitoring validation to examine user interaction with local, removable, and network locations.
Why use it?
It helps investigators reconstruct folder-browsing activity when the original folders or drives are no longer available.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it in security investigations, threat hunting, and monitoring validation to examine user interaction with local, removable, and network locations.

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Install with agentmods
npx agentmods add skills/xalgorix/xalgorix/analyzing-windows-shellbag-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 xalgorix/xalgorix --skill analyzing-windows-shellbag-artifacts
Clone the repo
git clone --depth 1 https://github.com/xalgorix/xalgorix

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-windows-shellbag-artifacts

README.md
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Your own site
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Your own site · 80×15
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Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,636 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 $0.00050 $0.02636
Opus 5 $0.00025 $0.01318
Sonnet 5 $0.00010 $0.00527
Haiku 4.5 $0.00005 $0.00264

Measured 8d ago against content hash 02c58e6f792d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

analyzing-windows-shellbag-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 8d 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.

internal/tools/skills/data/digital-forensics/analyzing-windows-shellbag-artifacts/SKILL.md · 227 lines

How it starts

The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analyzing Windows Shellbag Artifacts

Overview

Shellbags are Windows registry artifacts that track how users interact with folders through Windows Explorer, storing view settings such as icon size, window position, sort order, and view mode. From a forensic perspective, Shellbags provide definitive evidence of folder access -- even folders that no longer exist on the system. When a user browses to a folder via Windows Explorer, the Open/Save dialog, or the Control Panel, a Shellbag entry is created or updated in the user's registry hive. These entries persist after folder deletion, drive disconnection, and even across user profile resets, making them invaluable for proving that a user navigated to specific directories on local drives, USB devices, network shares, or zip archives.

When to Use

  • When investigating security incidents that require analyzing windows shellbag 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

Detection Gaps & Validation

  • Shellbags prove Explorer-shell navigation only. Folders reached via cmd, PowerShell, or programmatic APIs leave no Shellbag entry. Absence of a Shellbag is not absence of access — corroborate before clearing a path.
  • Most-missed source: UsrClass.dat. On Windows 10/11 the bulk of folder activity lives in UsrClass.dat (Local Settings\...\Shell\BagMRU), not NTUSER.DAT. Parsing only NTUSER drops the majority of evidence; run SBECmd against both hives.
  • Timestamp/timezone pitfall: the embedded shell-item dates are local-time DOS dates with 2-second granularity, while CreatedOn/ModifiedOn/AccessedOn reflect view-setting changes, not necessarily a visit. Do not treat them as UTC and do not equate them with first/last access without correlation.
  • Batch updates: Explorer can rewrite many Shellbag entries at shutdown, collapsing distinct visits into one timestamp.
  • Anti-forensics: deletion of BagMRU subtrees or whole-hive replacement. Recover from VSS and replay .LOG transaction files for dirty hives.
  • Validate / cross-corroborate: tie removable/network paths to USBSTOR + MountPoints2 (volume serials), LNK/Jump List targets, RecentDocs, and $MFT/USN entries for the same folder. A folder that "no longer exists" should still reconcile with at least one second artifact before it anchors a finding.

Read the full file on GitHub · 227 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. 8d ago First seen · 227 lines · 50 tokens per session scan A 02c58e6f792d

Subscribe to this mod's changes

analyzing-windows-shellbag-artifacts is a skill published in the GitHub repository xalgorix/xalgorix (975 stars, last pushed 2d ago), licensed Apache-2.0. It adds 50 tokens to every session and 2,636 once invoked, about $0.0003 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 2026-09-03.

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