AI Code Quality Agent: Enhance Repos with Seamless Git Hooks
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AI Code Quality Agent: Enhance Repos with Seamless Git Hooks
The AI Code Quality Agent is a comprehensive tool for developers looking to enhance software repository quality through automated checks. The skill integrates with Git hooks and popular AI coding agents such as Claude Code, Codex, and others to enforce quality gates on repositories. It identifies issues like test tampering, high complexity, low code coverage, dead code, and other potential vulnerabilities across multiple programming languages.
What this skill does
Installs seamless Git hooks to enforce code quality checks at various stages of the Git workflow.
Utilizes a single script, scripts/quality.ts, executed at each entry point to manage checks.
Blocks commits with high complexity, low coverage, new cycles, and other predefined quality metrics.
Generates AI attribution and verifies glossary words in commit messages.
Tracks unresolved technical debt in a baseline, permitting only new issues on modified lines to block progress.
Who it is for
This tool is ideal for developers and software teams using AI coding agents who want to ensure a consistent level of code quality across their projects. It is particularly beneficial for teams working in a multi-language environment requiring rigorous quality checks and deterministic evaluation criteria.
Use cases
Integrating into CI/CD pipelines to automate code quality assessments during the software development lifecycle.
Ensuring that newly added or modified code meets established quality standards before merging into the main branch.
Maintaining control over code complexity and other metrics by automatically blocking non-compliant commits.
Technical details
Supports integration with AI coding agents such as Claude Code, Codex, and others.
Compatible with 12 programming languages, requiring a single .quality.toml configuration file per repository.
Features specific entry points for functional checks, including pre-commit and commit-msg.
Does not run ordinary tests, linting, or type checks, focusing only on deterministic quality criteria.
For authorised security testing, defensive research and educational use only.
Source & Licence
This package is built on open-source work published by smixs (smixs/code-quality) 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.