Version updated for https://github.com/chernistry/bernstein to version v1.6.6. This action is used across all versions by 4 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Bernstein is a GitHub Action that automates software development by orchestrating AI coding agents to collaboratively break down goals into tasks, generate code, verify outputs, and create clean git histories. It eliminates the need for learning new frameworks or dealing with vendor lock-in, allowing developers to use interchangeable agents and models from various providers. Key capabilities include parallel task execution, deterministic scheduling, and seamless integration of local and cloud-based AI models for efficient code generation and testing.

Version updated for https://github.com/CloudReactor/aws-ecs-cloudreactor-deployer to version v5.0.0. This action is used across all versions by 4 repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary The aws-ecs-cloudreactor-deployer GitHub Action automates the deployment of tasks to AWS ECS Fargate while integrating with CloudReactor for task monitoring and management. It supports deploying tasks using a built Docker image, a predefined Docker image, or an existing ECS Task Definition ARN, eliminating the need for local dependency installations by leveraging a preconfigured Docker image. This action simplifies ECS deployments, reduces manual setup errors, and enhances task observability and control through CloudReactor.

Version updated for https://github.com/DNSZLSK/muad-dib to version v2.10.75. This action is used across all versions by 1 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary MUAD’DIB is a security-focused GitHub Action and CLI tool designed to detect and analyze threats in npm and PyPI packages by leveraging multiple parallel scanners, a deobfuscation engine, behavioral analysis, and machine learning classifiers. It helps automate the identification of known vulnerabilities, suspicious patterns, and malicious packages, preventing supply chain attacks during development or CI/CD workflows. Key features include risk scoring, interactive scanning, safe package installation, detailed threat explanations, and exportable reports.

Version updated for https://github.com/feelpp/ci-matrix-planner to version v1.13.0. This action is used across all versions by 1 repositories. Action Type This is a Node action using Node version 20. Go to the GitHub Marketplace to find the latest changes. Action Summary The CI Matrix Planner is a reusable GitHub Action designed to dynamically plan and customize CI job matrices based on inputs such as workflow events, pull request metadata, labels, and commit messages. It streamlines the CI process by enabling precise control over which jobs and targets are executed, reducing build times and improving maintainability across projects. Key capabilities include directive parsing, matrix generation, support for full-build jobs, and profile-based configurations.

Version updated for https://github.com/hahwul/hwaro to version v0.11.1. This action is used across all versions by 7 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Hwaro is a lightweight and high-performance static site generator written in Crystal that transforms Markdown with TOML front matter and Jinja2-compatible templates into static websites. It automates tasks such as content processing, templating, site optimization, SEO configuration, and deployment, streamlining the website creation and management process. Key features include parallel builds, live-reloading development server, multilingual support, image processing, and built-in support for modern web standards like PWA and AMP.

Version updated for https://github.com/juspay/neurolink to version v9.51.2. This action is used across all versions by 9 repositories. Action Type This is a Node action using Node version 20. Go to the GitHub Marketplace to find the latest changes. Action Summary NeuroLink is a universal AI integration platform that streamlines the connection of 13 major AI providers and 100+ models through a single, consistent API. It simplifies AI integration by enabling seamless provider switching, intelligent cost optimization, and robust enterprise features like multi-provider failover, Redis-based memory, and advanced tool management. Designed for scalability and efficiency, NeuroLink supports continuous streaming architectures and edge-first execution, making it a powerful solution for building AI-driven applications.

Version updated for https://github.com/marcusramberg/gcs-client to version v0.4.0. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary The Google Cloud Storage client GitHub Action provides a lightweight CLI tool that replicates common gcloud storage commands, enabling users to interact with Google Cloud Storage without installing the full Google SDK. It automates tasks such as copying, moving, deleting, listing, and signing URLs for GCS objects, simplifying CI workflows by reducing setup overhead. Key capabilities include compatibility with standard Google Cloud authentication methods and support for shell completion.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/mcp@1.14.3. 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 Totem is a CLI tool that acts as a persistent memory and enforcement layer for AI coding agents, ensuring they adhere to project-specific architectural rules and best practices. It automates the process of identifying and enforcing lessons derived from past mistakes by converting plain-English markdown into deterministic linting rules that run offline, without relying on large language models (LLMs). This helps prevent recurring errors, maintain architectural integrity, and streamline code reviews by flagging violations before they are committed.

Version updated for https://github.com/msaleme/red-team-blue-team-agent-fabric to version v4.1.0. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Agent Security Harness is a GitHub Action designed to conduct automated security testing of AI agent protocols, operational governance, and decision-making mechanisms. It provides 440 executable security tests across multiple layers, including wire-protocol integrity, session state validation, and decision governance, to identify vulnerabilities such as spoofing, capability escalation, and unsafe agent behaviors. This tool enables organizations to proactively simulate adversarial scenarios, ensuring compliance with security policies and robustness against advanced threats.

Version updated for https://github.com/simonepri/ifttt-lint to version v0.10.0. 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 This GitHub Action, ifttt-lint, is a linter that enforces consistency across related code and documentation files using LINT.IfChange and LINT.ThenChange directives. It identifies and prevents mistakes where updates to one part of a codebase (e.g., a constant, struct, or database schema) require corresponding changes in other files but are overlooked, reducing production errors and ensuring synchronization across dependencies. By automatically detecting cross-file inconsistencies, it provides a lightweight, language-agnostic solution for maintaining cross-file integrity, filling gaps where more complex automation is impractical.