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Cyber Analyzing Active Directory Acl Abuse

ASecurity

Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths

  • 2 stars
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  • 4 views
  • Added September 10, 2026
ai-agentsgonode

Security analysis

A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned September 10, 2026

npx -y skills add nexuslinkproductions/yuri-os --skill cyber-analyzing-active-directory-acl-abuse --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: cyber-analyzing-active-directory-acl-abuse
description: "Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths"
hide: true
---

<!-- GENERATED:YURI-CODEX-SKILL-ADAPTER:v1 -->

# YURI skill adapter

Authoritative source: `.claude/skills/cyber-analyzing-active-directory-acl-abuse/SKILL.md`

Authoritative source SHA-256: `758e0d350c504e8617529e374abb06630f6024cc94f9f6f110b4878e987f984c`

Source class: `cyber-armed`

Before acting, read the authoritative source file above completely from beginning to end. If the governed source is absent, run `node _SYSTEM/Scripts/skill-recall.mjs --show cyber-analyzing-active-directory-acl-abuse` and read its complete verified output. Follow that source as the skill body; this adapter is a non-authoritative metadata-and-pointer projection.

Files in this skill

  • SKILL.md870 B
  • agents/openai.yaml82 B

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