Master Active Directory Constraints for Secure AI Agents

Master Active Directory Constraints for Secure AI Agents

This AI agent skill package provides a comprehensive guide to managing real-world Active Directory (AD) environment constraints that can interfere with AI agent functionality, such as those using Claude Code, Cursor, and Codex. It assists in detecting and adapting to security hardening measures like NTLM disablement, AES-only Key Distribution Centers (KDCs), and LDAP signing requirements.

What this skill does

• Identifies whether NTLM is disabled and whether Kerberos is required as a fallback.
• Detects if KDCs accept only AES, blocking RC4 due to Group Policy Objects (GPOs).
• Checks for required LDAP signing and channel binding, and if LDAPS is on port 636.
• Accounts for Kerberos clock skew issues such as KRB_AP_ERR_SKEW.
• Verifies if Service Principal Names (SPNs) are enforced as Fully Qualified Domain Names (FQDNs).
• Considers specific security features like Protected Users, Local Administrator Password Solution (LAPS), Group Managed Service Accounts (gMSA), and MachineAccountQuota settings.
• Manages LDAP queries with 1000-object paging and addresses VPN latency concerns.
• Operates with standard tools like netexec, impacket, certipy, bloodyAD, and kerbrute, without reliance on proprietary engines.

Who it is for

This skill is designed for developers and technical teams employing AI coding agents like Claude Code, Cursor, and Codex, specifically when integrating these tools within a secure Active Directory environment.

Use cases

• Preparing AI agents for deployment in corporate networks with stringent security policies.
• Diagnostic use when unexpected authentication failures occur that seemingly relate to credentials.
• Educational scenarios focused on understanding AD security constraints and their impacts.

Technical details

The skill leverages compatibility with a suite of open-source tools, including netexec, impacket, certipy, bloodyAD, and kerbrute, to highlight and adapt to common AD constraints before authentication attempts, thereby ensuring smoother AI agent operation.

For authorised security testing, defensive research and educational use only.

Source & Licence

This package is built on open-source work published by ADScanPro (ADScanPro/Claude-AD) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.