AI Agent Anti-Gaming Skill for Safe Code Compliance

AI Agent Anti-Gaming Skill for Safe Code Compliance

The AI Agent Anti-Gaming Skill is a capability package designed to ensure semantic compliance within AI coding agents such as Claude Code, Cursor, and Codex. This skill helps to manage and mitigate attempts at gaming the system by tracking changes in classifications, budgets, or command structures, while maintaining consistent behavior across agent interactions without requiring access to private chain-of-thoughts.

What this skill does

• Locks primary objectives and definitions of completion, alongside current evidence, before any changes in classification or budget.
• Identifies specific observable signals to detect non-compliance, without relying on superficial metrics like time or token use.
• Compares semantic identities and causal histories to maintain continuity across task iterations.
• Generates a compact record, including identity, actual count, any budget violations, and the corrective action taken.
• Applies a single bounded corrective action with explicit limits and conditions, enabling course correction without resetting counters.
• Revalidates only affected requirements or policies and ensures a return to intent-compliant productivity.

Who it is for

This skill is aimed at developers and teams who utilize AI coding agents such as Claude Code, Cursor, and Codex, especially those seeking to enforce consistent behavior and compliance in their software development environments.

Use cases

• Ensuring project requirements are met while preventing manipulation of AI behavior during coding tasks.
• Maintaining compliance with coding standards across multiple development iterations and handoffs.
• Providing oversight and documentation for AI operations to support safe and accountable development practices.

Technical details

The AI Agent Anti-Gaming Skill utilizes tools such as agentic-ai, aiapplication, and anti-gaming for its operations. The design focuses on achieving semantic compliance through observable evidence, ensuring that AI agents work within predefined guidelines without exploiting system vulnerabilities.

Source & Licence

This package is built on open-source work published by ihabkhaled (ihabkhaled/AI-Psychiatry) 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.