deploying-active-directory-honeytokens

deploying-active-directory-honeytokens is a skill for Claude Code, Codex from andycungkrinx91/konoha. It costs 101 tokens per session (2,416 once invoked), scanned A, a copy of deploying-active-directory-honeytokens, MIT.

A setup guide for placing fake accounts, service names, policy objects, and attack paths in Microsoft Active Directory, a system that manages users and computers on Windows networks. It watches Windows security logs for anyone interacting with these decoys.

In plain words
What is it for?
It helps security teams create Active Directory tripwires for fake privileged accounts, Kerberos attack targets, Group Policy password traps, and misleading BloodHound paths, then monitor their use.
Why use it?
Normal users and administrators should not touch these objects, so activity around them can reveal credential theft, lateral movement, or other intrusion attempts with little expected noise.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit It helps security teams create Active Directory tripwires for fake privileged accounts, Kerberos attack targets, Group Policy password traps, and misleading BloodHound paths, then monitor their use.

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Install with agentmods
npx agentmods add skills/andycungkrinx91/konoha/deploying-active-directory-honeytokens
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 andycungkrinx91/konoha --skill deploying-active-directory-honeytokens
Clone the repo
git clone --depth 1 https://github.com/andycungkrinx91/konoha

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 deploying-active-directory-honeytokens

README.md
[![agentmods](https://agentmods.dev/badge/skills/andycungkrinx91/konoha/deploying-active-directory-honeytokens/github.svg)](https://agentmods.dev/skills/andycungkrinx91/konoha/deploying-active-directory-honeytokens)
Your own site
<a href="https://agentmods.dev/skills/andycungkrinx91/konoha/deploying-active-directory-honeytokens"><img src="https://agentmods.dev/badge/skills/andycungkrinx91/konoha/deploying-active-directory-honeytokens/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 deploying-active-directory-honeytokens

Your own site · 80×15
<a href="https://agentmods.dev/skills/andycungkrinx91/konoha/deploying-active-directory-honeytokens"><img src="https://agentmods.dev/badge/skills/andycungkrinx91/konoha/deploying-active-directory-honeytokens.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,416 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.
Origin 100% copy Near-identical to another mod 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 $0.00101 $0.02416
Opus 5.5 $0.00040 $0.00966
Sonnet 5.5 $0.00020 $0.00483
Haiku 4.5 $0.00010 $0.00242

Measured today against content hash 0118316a1533, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deploying-active-directory-honeytokens 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 today.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/agent.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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

This is a copy

100% identical to deploying-active-directory-honeytokens — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/akatsuki-skill/references/anthropic-cybersecurity-skills-assets/skills/deploying-active-directory-honeytokens/SKILL.md · 261 lines

How it starts

The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deploying Active Directory Honeytokens

When to Use

  • When deploying deception-based detection in Active Directory environments
  • When detecting Kerberoasting attacks via fake SPN honeytokens (honeyroasting)
  • When creating tripwire accounts to detect credential theft and lateral movement
  • When building decoy GPOs to detect Group Policy Preference password harvesting
  • When creating deceptive BloodHound paths to misdirect and detect attackers
  • When supplementing existing AD monitoring with high-fidelity detection signals

Prerequisites

  • Domain Admin or delegated AD administration privileges
  • Active Directory domain (Windows Server 2016+ recommended)
  • Windows Event Log forwarding to SIEM (Splunk, Sentinel, Elastic)
  • PowerShell 5.1+ with ActiveDirectory module
  • Group Policy Management Console (GPMC)
  • Understanding of AD security, Kerberos, and BloodHound attack paths

Background

Why AD Honeytokens

Traditional signature-based detection misses novel attack techniques. Honeytokens provide high-fidelity detection with near-zero false positives because any interaction with a decoy object is inherently suspicious. In Active Directory:

  • Fake privileged accounts detect credential dumping (DCSync, NTDS.dit extraction)
  • Fake SPNs detect Kerberoasting reconnaissance (TGS requests for nonexistent services)
  • Decoy GPOs detect Group Policy Preference password harvesting
  • Fake BloodHound paths mislead attackers using graph-based AD analysis

Key Detection Event IDs

Event ID Description Honeytoken Use
4769 Kerberos TGS ticket requested Detect Kerberoast against honey SPN
4625 Failed logon attempt Detect use of fake credentials from decoy GPO
4662 Directory service object accessed Detect DACL read on honeytoken user
5136 Directory service object modified Detect modification of decoy GPO
5137 Directory service object created Detect GPO creation mimicking decoy
4768 Kerberos TGT requested Detect AS-REP roasting of honey account

Read the full file on GitHub · 261 lines

Files

What ships with it

2 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. today First seen · 261 lines · 101 tokens per session scan A 0118316a1533

Subscribe to this mod's changes

deploying-active-directory-honeytokens is a skill published in the GitHub repository andycungkrinx91/konoha (12 stars, last pushed today), licensed MIT. It adds 101 tokens to every session and 2,416 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to deploying-active-directory-honeytokens, differing in 0 lines, and is treated as a copy.

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