ad

ad is a skill for Claude Code, Codex from MingyiSecLab/Mingyi-Atlas. It costs 29 tokens per session (474 once invoked), scanned A, a copy of ad-overview, Apache-2.0.

A collection of playbooks for testing and investigating Active Directory, Microsoft’s system for managing users, computers, and permissions on a Windows network.

In plain words
What is it for?
Use it for BloodHound data collection and queries, Kerberoasting, AS-REP roasting, AD certificate checks, DCSync checks, LAPS password extraction, and NetExec reference tasks.
Why use it?
It organizes common attack paths and checks, such as stolen service-account credentials, certificate weaknesses, and excessive replication permissions.

Skill for Claude CodeCodex

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

Good fit Use it for BloodHound data collection and queries, Kerberoasting, AS-REP roasting, AD certificate checks, DCSync checks, LAPS password extraction, and NetExec reference tasks.

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Install with agentmods
npx agentmods add skills/mingyiseclab/mingyi-atlas/ad
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 MingyiSecLab/Mingyi-Atlas --skill ad
Clone the repo
git clone --depth 1 https://github.com/MingyiSecLab/Mingyi-Atlas

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/mingyiseclab/mingyi-atlas/ad/github.svg)](https://agentmods.dev/skills/mingyiseclab/mingyi-atlas/ad)
Your own site
<a href="https://agentmods.dev/skills/mingyiseclab/mingyi-atlas/ad"><img src="https://agentmods.dev/badge/skills/mingyiseclab/mingyi-atlas/ad/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 ad

Your own site · 80×15
<a href="https://agentmods.dev/skills/mingyiseclab/mingyi-atlas/ad"><img src="https://agentmods.dev/badge/skills/mingyiseclab/mingyi-atlas/ad.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 474 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 89% 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 $0.00029 $0.00474
Opus 5 $0.00015 $0.00237
Sonnet 5 $0.00006 $0.00095
Haiku 4.5 $0.00003 $0.00047

Measured 10d ago against content hash 6c5a23a1f59f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ad 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 10d 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

This is a copy

89% identical to ad-overview — 20 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.

src/skills/standard/ad/SKILL.md · 36 lines

What it actually says

AD Operator Skill Catalog

Playbooks

Skill Use for
/skills/standard/ad/bloodhound-query/SKILL.md Ingest + common Cypher queries
/skills/standard/ad/kerberoasting/SKILL.md Roast SPN users, crack with hashcat
/skills/standard/ad/asrep-roasting/SKILL.md dontreqpreauth users
/skills/standard/ad/adcs-esc1/SKILL.md ESC1 template abuse → domain admin
/skills/standard/ad/dcsync/SKILL.md Replication rights → krbtgt dump
/skills/standard/ad/laps/SKILL.md LAPS local admin password extraction
/skills/standard/ad/netexec/SKILL.md NetExec (formerly CrackMapExec) cheatsheet — SMB/WinRM/LDAP/MSSQL modules

Workflow

  1. Collect: bash("bloodhound-python -u user -p pass -d DOMAIN -c all --zip")
  2. bh_ingest_zip("/workspace/bh.zip")
  3. dcsync_check — if any principal, that's instant domain compromise
  4. kg_query(kind="user") and filter for hasspn=true → Kerberoast queue
  5. kg_query(kind="user") and filter for dontreqpreauth=true → AS-REP roast
  6. ADCS: bash("certipy find -u user -p pass -dc-ip X -json") then adcs_audit
  7. plan_attack_chains to see graph-computed domain compromise paths

Crown jewels to add

kg_add_node(kind="crown_jewel", label="Domain Admins group")
kg_add_node(kind="crown_jewel", label="krbtgt account")
kg_add_node(kind="crown_jewel", label="DC: DC01.corp.local")
Files

What ships with it

10 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. 10d ago First seen · 36 lines · 29 tokens per session scan A 6c5a23a1f59f

Subscribe to this mod's changes

ad is a skill published in the GitHub repository MingyiSecLab/Mingyi-Atlas (11 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 474 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to ad-overview, differing in 20 lines, and is treated as a copy.