ad-domain-attack

ad-domain-attack is a skill for Claude Code, Codex from wgpsec/AboutSecurity. It costs 91 tokens per session (1,623 once invoked), scanned A, original, no licence file.

A guide to attacking an Active Directory domain, the Windows system that manages identities and computers across an organization. It covers the main stages from discovering domain information to gaining higher privileges.

In plain words
What is it for?
Use it for domain reconnaissance, user enumeration, Kerberoasting, AS-REP roasting, delegation attacks, access-rule abuse, credential replication, and forged tickets.
Why use it?
It provides a connected view of how credentials, service accounts, permissions, and authentication weaknesses can lead to wider domain control.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it for domain reconnaissance, user enumeration, Kerberoasting, AS-REP roasting, delegation attacks, access-rule abuse, credential replication, and forged tickets.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wgpsec/aboutsecurity/ad-domain-attack
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 wgpsec/AboutSecurity --skill ad-domain-attack
Clone the repo
git clone --depth 1 https://github.com/wgpsec/AboutSecurity

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 ad-domain-attack

README.md
[![agentmods](https://agentmods.dev/badge/skills/wgpsec/aboutsecurity/ad-domain-attack.svg)](https://agentmods.dev/skills/wgpsec/aboutsecurity/ad-domain-attack)
Your own site
<a href="https://agentmods.dev/skills/wgpsec/aboutsecurity/ad-domain-attack"><img src="https://agentmods.dev/badge/skills/wgpsec/aboutsecurity/ad-domain-attack.svg" alt="Measured on agentmods" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,623 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: 2 findings, 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 5
    YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).
    Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
  • medium YARA Match · line 114
    YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).
    Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
How audits are shown
Origin unknown 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 $0.00091 $0.01623
Opus 5 $0.00046 $0.00812
Sonnet 5 $0.00018 $0.00325
Haiku 4.5 $0.00009 $0.00162

Measured 5d ago against content hash aa6c713dbfdc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

ad-domain-attack 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 5d 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.

skills/lateral/ad-domain-attack/SKILL.md · 129 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

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.

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. 5d ago First seen · 129 lines · 91 tokens per session scan A aa6c713dbfdc

Subscribe to this mod's changes

ad-domain-attack is a skill published in the GitHub repository wgpsec/AboutSecurity (1,725 stars, last pushed 8d ago), with no licence file. It adds 91 tokens to every session and 1,623 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 2026-09-03.

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