New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Configuring Active Directory Tiered Model

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Implement Microsoft's Enhanced Security Admin Environment (ESAE) tiered administration model for Active Directory, covering Tier 0/1/2 separation, privileged access workstations (PAWs)…

Apache-2.0Auto-check passedSecurity

Install Configuring Active Directory Tiered Model

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill configuring-active-directory-tiered-model -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills configuring-active-directory-tiered-model --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/configuring-active-directory-tiered-model .claude/skills/configuring-active-directory-tiered-model && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
configuring-active-directory-tiered-model
GitHub stars
34k
Token cost
~687 tokens
SKILL.md length
204 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Implement Microsoft's Enhanced Security Admin Environment (ESAE) tiered administration model for Active Directory, covering Tier 0/1/2 separation, privileged access workstations (PAWs)…

  • Hardening AD privileged-access architecture
  • SKILL.md covers Overview, When to Use, Prerequisites and Objectives, plus 2 more sections
  • Runs Python scripts from its folder
  • Segmenting Domain/Enterprise Admin accounts into tiers

What it does

Configuring Active Directory Tiered Model is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Implement Microsoft's Enhanced Security Admin Environment (ESAE) tiered administration model for Active Directory, covering Tier 0/1/2 separation, privileged access workstations (PAWs), administrative forest design, and authentication policy silos. Use when designing or hardening AD privileged-access architecture, segmenting Domain/Enterprise Admin accounts into tiers, or containing lateral movement and credential theft (pass-the-hash, Kerberoasting, golden tickets).

Its SKILL.md is about 690 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).

It sits in Security, covering Red teaming and adversary simulation. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Hardening AD privileged-access architecture
  • Segmenting Domain/Enterprise Admin accounts into tiers
  • Containing lateral movement and credential theft (pass-the-hash
  • Golden tickets)

Example prompts

  • “/configuring-active-directory-tiered-model”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Configuring Active Directory Tiered Model loads about 687 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 128 tokens; SKILL.md has 204 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~128
When it runs · the whole SKILL.md, loaded when a task matches
~687
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 204 words, ~687 tokens.

Download SKILL.mdSave it as .claude/skills/configuring-active-directory-tiered-model/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
configuring-active-directory-tiered-model
description
Implement Microsoft's Enhanced Security Admin Environment (ESAE) tiered administration model for Active Directory, covering Tier 0/1/2 separation, privileged access workstations (PAWs), administrative forest design, and authentication policy silos. Use when designing or hardening AD privileged-access architecture, segmenting Domain/Enterprise Admin accounts into tiers, or containing lateral movement and credential theft (pass-the-hash, Kerberoasting, golden tickets).
domain
cybersecurity
subdomain
identity-access-management
tags
iam, identity, access-control, active-directory, tiered-model, paw, esae
version
1.0
author
mahipal
license
Apache-2.0
nist_csf
PR.AA-01, PR.AA-02, PR.AA-05, PR.AA-06
mitre_attack
T1078.002, T1550.002, T1550.003, T1003.001, T1021

Configuring Active Directory Tiered Model

Overview

Implement Microsoft's Enhanced Security Admin Environment (ESAE) tiered administration model for Active Directory. Covers Tier 0/1/2 separation, privileged access workstations (PAWs), administrative forest design, authentication policy silos, and credential theft mitigation.

When to Use

  • When deploying or configuring configuring active directory tiered model capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

Prerequisites

  • Familiarity with identity access management concepts and tools
  • Access to a test or lab environment for safe execution
  • Python 3.8+ with required dependencies installed
  • Appropriate authorization for any testing activities

Objectives

  • Implement comprehensive configuring active directory tiered model capability
  • Establish automated discovery and monitoring processes
  • Integrate with enterprise IAM and security tools
  • Generate compliance-ready documentation and reports
  • Align with NIST 800-53 access control requirements

Security Controls

ControlNIST 800-53Description
Account ManagementAC-2Lifecycle management
Access EnforcementAC-3Policy-based access control
Least PrivilegeAC-6Minimum necessary permissions
Audit LoggingAU-3Authentication and access events
IdentificationIA-2User and service identification

Verification

  • Implementation tested in non-production environment
  • Security policies configured and enforced
  • Audit logging enabled and forwarding to SIEM
  • Documentation and runbooks complete
  • Compliance evidence generated

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in skills/configuring-active-directory-tiered-model of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • references/api-reference.md
  • scripts/agent.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Configuring Active Directory Tiered Model next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Configuring Active Directory Tiered Model compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Configuring Active Directory Tiered Model this skillmukul975/Anthropic-Cybersecurity-Skills34k—~687Automated safety check: PassApache-2.0
Authorization Bypass DetectionTencent/AI-Infra-Guard6.8k—~753Automated safety check: PassApache-2.0
Run Assert Evalresponsibleai/ASSERT330—~11kAutomated safety check: NotesMIT
Osint Methodologyelementalsouls/Claude-OSINT2.8k—~8.7kAutomated safety check: NotesMIT
Lfd Designelvisun/loss-function-development176—~2.9kAutomated safety check: NotesMIT
Acl AbuseADScanPro/Claude-AD211—~2.6kAutomated safety check: PassMIT

Similar skills

  • Authorization Bypass Detection

    Tencent/AI-Infra-Guard

    Probes an AI agent through dialogue for cross-user data access, privilege escalation and login bypass, and reports confirmed findings as structured vulnerability entries.

    6.8k GitHub stars~753 tokensUpdated yesterday
    SecurityAuto-check passed

  • Run Assert Eval

    responsibleai/ASSERT

    Run an ASSERT evaluation against a described risk. An agent skill from responsibleai/ASSERT.

    330 GitHub stars~11k tokensUpdated yesterday
    SecurityAuto-check: notes

  • Osint Methodology

    elementalsouls/Claude-OSINT

    Comprehensive OSINT methodology for external red-team operations and authorized attack-surface assessments.

    2.8k GitHub stars~8.7k tokensUpdated 1 mo ago
    SecurityAuto-check: notes

  • Lfd Design

    elvisun/loss-function-development

    Design a loss function and harness for a long-running /goal optimization run (loss-function development, LFD).

    176 GitHub stars~2.9k tokensUpdated 4 mo ago
    SecurityAuto-check: notes

  • Acl Abuse

    ADScanPro/Claude-AD

    Abusing Active Directory object ACLs (DACL/ownership) for privilege escalation and lateral movement (GenericAll, GenericWrite, WriteDACL, WriteOwner, AddMember, ForceChangePassword, and replication…

    211 GitHub stars~2.6k tokensUpdated 1 mo ago
    SecurityAuto-check passed

  • Web Exfiltration Detection

    Tencent/AI-Infra-Guard

    Probes whether an agent with web fetch and stored user memory can be tricked by a malicious page into leaking data through chained URL paths.

    6.8k GitHub stars~1.8k tokensUpdated yesterday
    SecurityAuto-check passed

More from mukul975/Anthropic-Cybersecurity-Skills

All 644 skills in this repo

  • Campaign Attribution Evidence Analysis

    mukul975/Anthropic-Cybersecurity-Skills

    Weighs infrastructure, TTP, malware code and timing evidence with the Diamond Model and competing hypotheses to reach a confidence-rated attribution.

    34k GitHub stars~2.3k tokensUpdated 1 mo ago
    Auto-check passed

  • Go Malware Analysis in Ghidra

    mukul975/Anthropic-Cybersecurity-Skills

    Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.

    34k GitHub stars~2.8k tokensUpdated 1 mo ago
    Auto-check passed

  • LNK and Jump List Forensics

    mukul975/Anthropic-Cybersecurity-Skills

    Guides forensic analysis of Windows LNK shortcut files and Jump Lists with LECmd, JLECmd and manual parsing to show file access and program execution.

    34k GitHub stars~2.8k tokensUpdated 1 mo ago
    Auto-check passed

  • Malware Persistence Analysis with Autoruns

    mukul975/Anthropic-Cybersecurity-Skills

    Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.

    34k GitHub stars~1.2k tokensUpdated 1 mo ago
    Auto-check passed

  • NTFS MFT Deleted File Recovery

    mukul975/Anthropic-Cybersecurity-Skills

    Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.

    34k GitHub stars~2.7k tokensUpdated 1 mo ago
    Auto-check passed

  • Network Covert Channel Analysis

    mukul975/Anthropic-Cybersecurity-Skills

    Detects DNS tunneling, ICMP exfiltration and HTTP-based covert channels in packet captures and DNS logs when hunting for hidden command-and-control traffic.

    34k GitHub stars~2k tokensUpdated 1 mo ago
    Auto-check passed

Categories

Questions about Configuring Active Directory Tiered Model

What does Configuring Active Directory Tiered Model do?

Implement Microsoft's Enhanced Security Admin Environment (ESAE) tiered administration model for Active Directory, covering Tier 0/1/2 separation, privileged access workstations (PAWs)…. Configuring Active Directory Tiered Model is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Implement Microsoft's Enhanced Security Admin Environment (ESAE) tiered administration model for Active Directory, covering Tier 0/1/2 separation, privileged access workstations (PAWs), administrative forest design, and authentication policy silos.

When should I use Configuring Active Directory Tiered Model?

Configuring Active Directory Tiered Model fits situations like: hardening AD privileged-access architecture; segmenting Domain/Enterprise Admin accounts into tiers; containing lateral movement and credential theft (pass-the-hash; golden tickets).

How do I install Configuring Active Directory Tiered Model in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill configuring-active-directory-tiered-model -a claude-code`. Or copy the skill folder (skills/configuring-active-directory-tiered-model in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/configuring-active-directory-tiered-model in your project. Claude Code loads it when a task matches its description.

How do I install Configuring Active Directory Tiered Model in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill configuring-active-directory-tiered-model -a codex`. Or copy the skill folder (skills/configuring-active-directory-tiered-model in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/configuring-active-directory-tiered-model in your project. Codex loads it when a task matches its description.

Can I use Configuring Active Directory Tiered Model in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill configuring-active-directory-tiered-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/configuring-active-directory-tiered-model, .gemini/skills/configuring-active-directory-tiered-model, .github/skills/configuring-active-directory-tiered-model and .opencode/skills/configuring-active-directory-tiered-model in your project.

What does Configuring Active Directory Tiered Model need to run?

Going by SKILL.md and its folder, Configuring Active Directory Tiered Model needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Configuring Active Directory Tiered Model access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Configuring Active Directory Tiered Model safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Configuring Active Directory Tiered Model use?

Configuring Active Directory Tiered Model is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Configuring Active Directory Tiered Model use?

About 687 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 418 tokens, read only when the agent opens those files.

What are the alternatives to Configuring Active Directory Tiered Model?

Skills that share tags, products or a category with Configuring Active Directory Tiered Model: Authorization Bypass Detection (Tencent/AI-Infra-Guard, 6.8k stars), Run Assert Eval (responsibleai/ASSERT, 330 stars), Osint Methodology (elementalsouls/Claude-OSINT, 2.8k stars) and Lfd Design (elvisun/loss-function-development, 176 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Configuring Active Directory Tiered Model?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,993 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.