AI-Powered Architecture Drift Review Tool for Codex
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AI-Powered Architecture Drift Review Tool for Codex
This skill allows developers to identify changes within their projects that diverge from the accepted repository memory, specifically in terms of undocumented architecture, dependencies, modules, security aspects, testing, and documentation. It is designed to assist developers working with AI coding agents like Claude Code, Cursor, and Codex in maintaining consistency with existing software architecture.
What this skill does
Reviews changes to identify modified modules and generated outputs.
Compares these changes against accepted Architecture Decision Records (ADRs) and repository decisions.
Evaluates the changes against existing module boundaries.
Checks for new dependencies and identifies security-sensitive changes.
Verifies whether tests and documentation have been updated to reflect changes.
Classifies findings into various drift types: architecture, dependency, module, security, testing, documentation, and engineering standards drift.
Halts the process and requests a human decision if a conflict with an accepted ADR is detected.
Who it is for
This tool is designed for developers and development teams who are actively using AI coding agents such as Claude Code, Cursor, and Codex. It is particularly beneficial for those responsible for maintaining software architecture consistency and ensuring that code changes conform to established engineering standards.
Use cases
Identifying undocumented architectural changes during code reviews to prevent potential integration issues.
Reviewing dependency changes to ensure new additions do not introduce vulnerabilities or conflicts.
Ensuring documentation and tests are up-to-date following module or feature changes before release deployment.
Maintaining compliance with internal engineering standards through continuous monitoring of codebase changes.
Technical details
Integrates with Codex AI coding environment to review change summaries or diffs.
Utilizes Architecture Decision Records (ADRs) and repository memory for comparison and validation.
Requires specific documentation as input, including architecture, engineering standards, security models, module, and feature specific PRDs and ADRs.
Delivers output files like REVIEW.md and COMPLETION_REPORT.md after analysis.
Source & Licence
This package is built on open-source work published by Karthick-Ramachandran (Karthick-Ramachandran/persist-os) 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.
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.