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Trivy: Comprehensive Vulnerability, Misconfiguration, Secret, and SBOM Scanner for Containers, Kubernetes, Code Repositories, and Cloud

Trivy, developed by aquasecurity, is a powerful security scanner designed to identify vulnerabilities, misconfigurations, secret information, and Software Bill of Materials (SBOM) across various environments. It supports scanning containers, Kubernetes clusters, code repositories, and cloud infrastructure. This tool, trending on GitHub, helps developers and security teams enhance the security posture of their applications and infrastructure by providing a unified solution for detecting critical security issues.

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Trivy, an open-source security scanner from aquasecurity, is engineered to provide comprehensive security analysis across a wide range of digital assets. Its core functionality includes the detection of vulnerabilities, identification of misconfigurations, discovery of sensitive secret information, and generation of Software Bill of Materials (SBOM). Trivy's versatility extends to scanning various environments crucial for modern software development and deployment. It can effectively analyze container images, Kubernetes configurations, code repositories, and cloud environments. This broad coverage makes Trivy a valuable tool for integrating security checks throughout the development lifecycle, from code commit to cloud deployment. By offering a unified platform for these critical security assessments, Trivy aims to simplify the process of maintaining secure applications and infrastructure, helping teams proactively address potential security risks.

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Hugging Face Introduces 'Skills' for AI/ML Task Definition, Compatible with Major Coding Agent Tools

Hugging Face has launched 'Skills,' a new framework designed to define AI/ML tasks such as dataset creation, model training, and evaluation. These 'Skills' are built to be compatible with leading coding agent tools, including OpenAI Codex, Anthropic's Claude Code, and Google De. This initiative aims to standardize and streamline the definition of various AI and machine learning tasks, facilitating integration across different development platforms.

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Moonshine Voice: Fast and Accurate Automatic Speech Recognition (ASR) for Edge Devices Trends on GitHub

Moonshine Voice, a project by moonshine-ai, is gaining traction on GitHub Trending for its focus on delivering fast and accurate Automatic Speech Recognition (ASR) specifically designed for edge devices. Published on February 28, 2026, this initiative aims to optimize ASR capabilities for resource-constrained environments, making advanced speech recognition more accessible and efficient for a wide range of edge computing applications. The project's presence on GitHub Trending highlights its potential impact in the field of AI and edge device technology.

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cc-switch: A Cross-Platform Desktop Assistant for Claude Code, Codex, OpenCode, and Gemini CLI Trending on GitHub

cc-switch is an innovative cross-platform desktop integrated assistant tool designed to streamline workflows for developers utilizing Claude Code, Codex, OpenCode, and Gemini CLI. Recently trending on GitHub, this tool aims to provide an all-in-one solution for managing these diverse coding and AI command-line interfaces, enhancing productivity and user experience across different operating systems. The project is authored by farion1231 and was published on February 28, 2026.