Version updated for https://github.com/yuvrajangadsingh/vibecheck to version v1.7.1. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary The vibecheck GitHub Action is a linting tool designed to identify and flag common code issues, particularly those associated with AI-generated code. It automates the detection of vulnerabilities, poor coding practices, and AI-specific patterns such as hardcoded secrets, empty catch blocks, and verbose comments, helping developers improve code security, quality, and maintainability. With zero configuration and fast performance, it simplifies the process of ensuring clean and secure codebases.

Version updated for https://github.com/yuvrajangadsingh/vibecheck to version v1.7.0. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Vibecheck is a GitHub Action that scans codebases for common issues associated with AI-generated code, such as security vulnerabilities, poor error handling, and low-quality code patterns. It automates the detection of these problems using a set of 34 rules, helping developers maintain cleaner, safer, and more reliable code. Key capabilities include identifying hardcoded secrets, unsafe practices (e.g., eval, SQL concatenation), and AI-specific patterns like redundant comments or excessive use of any in TypeScript.

Version updated for https://github.com/yuvrajangadsingh/vibecheck to version v1.6.0. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary vibecheck is a GitHub Action and CLI tool designed to identify and flag potential issues commonly found in AI-generated or suboptimal code. It automates the detection of security vulnerabilities (e.g., hardcoded secrets, unsafe SQL queries), poor error handling (e.g., empty catch blocks), and general code quality problems (e.g., overly long functions, improper use of TypeScript types). By providing zero-configuration, local analysis, and actionable feedback, it helps developers maintain cleaner, more secure, and production-ready codebases.

Version updated for https://github.com/yuvrajangadsingh/vibecheck to version v1.5.0. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary vibecheck is a GitHub Action and standalone tool designed to identify and flag potential issues in AI-generated or manually-written code, with a focus on improving security, error handling, code quality, and identifying AI-specific coding patterns. It automates the detection of common problems like hardcoded secrets, unsafe practices (e.g., SQL concatenation, eval), and poor coding habits (e.g., empty catch blocks, overly long functions), helping developers maintain clean, secure, and production-ready codebases. The tool requires no configuration, API keys, or installation, making it fast and easy to use locally.