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Agent skill

Performing Active Directory Forest Trust Attack

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Enumerate and audit Active Directory forest trust relationships using Impacket for SID filtering analysis, trust key extraction, cross-forest SID history abuse detection, and inter-realm Kerberos…

Apache-2.0Auto-check passedSecurity

Install Performing Active Directory Forest Trust Attack

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-active-directory-forest-trust-attack -a claude-code

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

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-active-directory-forest-trust-attack --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/performing-active-directory-forest-trust-attack .claude/skills/performing-active-directory-forest-trust-attack && 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
performing-active-directory-forest-trust-attack
GitHub stars
34k
Token cost
~675 tokens
SKILL.md length
254 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Enumerate and audit Active Directory forest trust relationships using Impacket for SID filtering analysis, trust key extraction, cross-forest SID history abuse detection, and inter-realm Kerberos…

  • Works in 7 steps: Enumerate forest trust relationships via… → Query trust attributes and SID filtering… → Perform SID lookups across trust… → …
  • Red-teaming multi-forest AD environments
  • SKILL.md covers Overview, When to Use, Prerequisites and Steps, plus 1 more section
  • Runs Python scripts from its folder

What it does

Performing Active Directory Forest Trust Attack is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Enumerate and audit Active Directory forest trust relationships using Impacket for SID filtering analysis, trust key extraction, cross-forest SID history abuse detection, and inter-realm Kerberos ticket assessment. Use when red-teaming multi-forest AD environments or auditing forest trusts for cross-forest privilege escalation and trust ticket forgery exposure.

Its SKILL.md is about 680 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

  • Red-teaming multi-forest AD environments
  • Auditing forest trusts for cross-forest privilege escalation and trust ticket forgery exposure

Example prompts

  • “/performing-active-directory-forest-trust-attack”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Enumerate forest trust relationships via LDAP trusted domain objects
  2. Query trust attributes and SID filtering status for each trust
  3. Perform SID lookups across trust boundaries using LsarLookupNames3
  4. Enumerate foreign security principals in trusted domains
  5. Check for SID history on cross-forest accounts
  6. Assess trust direction and transitivity for lateral movement paths
  7. Generate trust security audit report with risk findings

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

Performing Active Directory Forest Trust Attack loads about 675 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 254 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~103
When it runs · the whole SKILL.md, loaded when a task matches
~675
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.3k

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). 254 words, ~675 tokens.

Download SKILL.mdSave it as .claude/skills/performing-active-directory-forest-trust-attack/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
performing-active-directory-forest-trust-attack
description
Enumerate and audit Active Directory forest trust relationships using Impacket for SID filtering analysis, trust key extraction, cross-forest SID history abuse detection, and inter-realm Kerberos ticket assessment. Use when red-teaming multi-forest AD environments or auditing forest trusts for cross-forest privilege escalation and trust ticket forgery exposure.
domain
cybersecurity
subdomain
red-team
tags
active-directory, forest-trust, impacket, SID-filtering, kerberos, red-team, trust-enumeration
version
1.0
author
mahipal
license
Apache-2.0
nist_csf
ID.RA-01, GV.OV-02, DE.AE-07
mitre_attack
T1595, T1190, T1059, T1078, T1558.003

Performing Active Directory Forest Trust Attack

Overview

Active Directory forest trusts enable authentication across organizational boundaries but introduce attack surface if misconfigured. This skill uses impacket to enumerate trust relationships, analyze SID filtering configuration, detect SID history abuse vectors, perform cross-forest SID lookups via LSA/LSAT RPC calls, and assess inter-realm Kerberos ticket configurations for trust ticket forgery risks.

When to Use

  • When conducting security assessments that involve performing active directory forest trust attack
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • Python 3.9+ with impacket, ldap3
  • Domain credentials with read access to AD trust objects
  • Network access to Domain Controllers (ports 389, 445, 88)
  • Authorized penetration testing engagement or lab environment

Legal Notice: This skill is for authorized security testing and educational purposes only. Unauthorized use against systems you do not own or have written permission to test is illegal and may violate computer fraud laws.

Steps

  1. Enumerate forest trust relationships via LDAP trusted domain objects
  2. Query trust attributes and SID filtering status for each trust
  3. Perform SID lookups across trust boundaries using LsarLookupNames3
  4. Enumerate foreign security principals in trusted domains
  5. Check for SID history on cross-forest accounts
  6. Assess trust direction and transitivity for lateral movement paths
  7. Generate trust security audit report with risk findings

Expected Output

  • JSON report listing all trust relationships, SID filtering status, foreign principals, trust direction/transitivity, and risk assessment
  • Cross-forest attack path analysis with remediation recommendations

© 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/performing-active-directory-forest-trust-attack 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

Performing Active Directory Forest Trust Attack 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.

Performing Active Directory Forest Trust Attack compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Performing Active Directory Forest Trust Attack this skillmukul975/Anthropic-Cybersecurity-Skills34k—~675Automated 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

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Categories

Questions about Performing Active Directory Forest Trust Attack

What does Performing Active Directory Forest Trust Attack do?

Enumerate and audit Active Directory forest trust relationships using Impacket for SID filtering analysis, trust key extraction, cross-forest SID history abuse detection, and inter-realm Kerberos…. Performing Active Directory Forest Trust Attack is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Enumerate and audit Active Directory forest trust relationships using Impacket for SID filtering analysis, trust key extraction, cross-forest SID history abuse detection, and inter-realm Kerberos ticket assessment.

When should I use Performing Active Directory Forest Trust Attack?

Performing Active Directory Forest Trust Attack fits situations like: red-teaming multi-forest AD environments; auditing forest trusts for cross-forest privilege escalation and trust ticket forgery exposure.

How do I install Performing Active Directory Forest Trust Attack in Claude Code?

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

How do I install Performing Active Directory Forest Trust Attack in Codex?

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

Can I use Performing Active Directory Forest Trust Attack 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 performing-active-directory-forest-trust-attack -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performing-active-directory-forest-trust-attack, .gemini/skills/performing-active-directory-forest-trust-attack, .github/skills/performing-active-directory-forest-trust-attack and .opencode/skills/performing-active-directory-forest-trust-attack in your project.

What does Performing Active Directory Forest Trust Attack need to run?

Going by SKILL.md and its folder, Performing Active Directory Forest Trust Attack needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Performing Active Directory Forest Trust Attack 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 Performing Active Directory Forest Trust Attack 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 Performing Active Directory Forest Trust Attack use?

Performing Active Directory Forest Trust Attack 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 Performing Active Directory Forest Trust Attack use?

About 675 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 673 tokens, read only when the agent opens those files.

What are the alternatives to Performing Active Directory Forest Trust Attack?

Skills that share tags, products or a category with Performing Active Directory Forest Trust Attack: 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 Performing Active Directory Forest Trust Attack?

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.