April 3, 2026
hostwithquantum/setup-quantum-cli
Version updated for https://github.com/hostwithquantum/setup-quantum-cli to version v2.0.0.
This action is used across all versions by ? repositories. Action Type This is a Composite action.
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Action Summary The setup-quantum-cli GitHub Action automates the installation, configuration, and authentication of the quantum-cli tool in CI/CD workflows. It simplifies the process of setting up the CLI by downloading it, adding it to the system PATH, and optionally configuring authentication using an API key. This action is designed to streamline deployment and management tasks in projects utilizing Planetary Quantum services.
April 3, 2026
verified-bot-commit
Version updated for https://github.com/IAreKyleW00t/verified-bot-commit to version v2.2.2.
This action is used across all versions by 87 repositories. Action Type This is a Node action using Node version 24.
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Action Summary The Verified Bot Commit GitHub Action automates the creation of signed and verified commits as the github-actions[bot] user using the GitHub REST API, leveraging either the default GITHUB_TOKEN or a custom GitHub App Token. It simplifies workflows by staging and committing specified files, ensuring commits are cryptographically signed with GitHub’s public PGP key, and updating the local branch. This action is particularly useful for maintaining secure, traceable commit histories in automated workflows.
April 3, 2026
OQS Scanner
Version updated for https://github.com/jimbo111/open-quantum-secure to version v2.0.0.
This action is used across all versions by 0 repositories. Action Type This is a Docker action.
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Action Summary The Open Quantum Secure (OQS Scanner) is a post-quantum cryptography analysis tool that scans codebases, configuration files, and binary artifacts to identify cryptographic algorithm usage vulnerable to quantum computing attacks. It automates the process of assessing quantum readiness by generating a Quantum Readiness Score, producing CycloneDX SBOMs, and checking compliance with CNSA 2.0 standards, all while running fully offline without requiring a backend. The tool supports extensible scanning capabilities via built-in and optional engines for comprehensive cryptography evaluations across diverse file formats and programming languages.
April 3, 2026
NeuroLink AI
Version updated for https://github.com/juspay/neurolink to version v9.44.0.
This action is used across all versions by 9 repositories. Action Type This is a Node action using Node version 20.
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Action Summary NeuroLink is a universal AI integration platform that consolidates 13 major AI providers and over 100 models under a single, consistent API. It automates seamless integration, provider switching, intelligent routing, and enterprise-grade features like multi-provider failover and memory management, enabling developers to efficiently build and scale AI-powered applications. Designed for future-proof edge-first execution and streaming architectures, NeuroLink simplifies complex AI workflows and optimizes costs across diverse environments.
April 3, 2026
Heisenberg CI Failure Analysis
Version updated for https://github.com/kamilpajak/heisenberg to version v0.5.0.
This action is used across all versions by 0 repositories. Action Type This is a Docker action.
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Action Summary Heisenberg is a GitHub Action designed to automate root-cause analysis (RCA) of continuous integration (CI) failures, with a focus on Playwright workflows. Leveraging AI, it analyzes logs, artifacts, traces, and source code to identify why tests failed, where bugs are located, and how to resolve them, providing structured reports to save time and reduce manual debugging. It is particularly useful for large CI runs by clustering failures and analyzing them efficiently.
April 3, 2026
Judges Code Review
Version updated for https://github.com/KevinRabun/judges to version v3.126.1.
This action is used across all versions by 0 repositories. Action Type This is a Composite action.
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Action Summary The “Judges Panel” GitHub Action and tool is designed to evaluate AI-generated code quality using a combination of deterministic pattern matching, AST analysis, and LLM-powered deep reviews across 45 specialized domains. It automates tasks such as code quality assessment, risk analysis, license compliance checks, and generating actionable reports with prioritized fixes. Key features include support for context-aware evaluations, integration with CI/CD pipelines, and capabilities for both standalone CLI usage and programmatic API integration.
April 3, 2026
L10n.dev AI Localization Automation
Version updated for https://github.com/l10n-dev/ai-l10n to version v1.4.1.
This action is used across all versions by 0 repositories. Action Type This is a Composite action.
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Action Summary The ai-l10n GitHub Action automates app localization by leveraging AI to translate i18n files into 165+ languages while preserving context, formatting, and data types. It supports a wide range of text-based localization file formats and offers features like smart project structure detection, incremental updates for new strings, intelligent pluralization, and error handling. This tool simplifies and accelerates the localization process for developers, ensuring accuracy and efficiency in translating applications for global audiences.
April 3, 2026
are-we-good
Version updated for https://github.com/lowlydba/are-we-good to version v1.0.0.
This action is used across all versions by ? repositories. Action Type This is a Node action using Node version 24.
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Action Summary The “are-we-good” GitHub Action consolidates the statuses of multiple jobs and matrix builds into a single pass/fail status check, simplifying CI/CD workflows and enabling easier enforcement of branch protection rules. It automates the evaluation of job outcomes, allowing specific jobs to fail, cancel, or skip without affecting the overall status, and provides a clear, optional markdown summary of results. This action helps streamline complex workflows and improves visibility into the overall pipeline health.
April 3, 2026
eigenhelm
Version updated for https://github.com/metacogdev/eigenhelm to version v0.9.0.
This action is used across all versions by ? repositories. Action Type This is a Composite action.
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Action Summary eigenhelm is a GitHub Action designed to evaluate and improve the structural quality of AI-generated code by analyzing its abstract syntax tree (AST) and scoring it against high-quality code corpora using information theory. It automates the detection of complexity, repeated patterns, and poor code structure, providing deterministic and trainable feedback to guide refactoring efforts. This helps mitigate structural debt, improve code design, and enhance robustness without relying on subjective or inconsistent LLM-based reviews.
April 3, 2026
Gather Repository Stats
Version updated for https://github.com/mona-actions/gh-repo-stats-plus to version v3.3.0.
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 gh-repo-stats-plus GitHub CLI extension automates the collection and analysis of comprehensive repository statistics for GitHub organizations, enabling efficient management and reporting at an enterprise scale. It enhances performance and reliability through features like incremental processing, multi-organization support, state persistence, and retry logic, while also providing advanced capabilities such as batch processing, CSV post-processing, and package statistics tracking. This tool simplifies large-scale repository analysis, reduces manual effort, and ensures accurate, organized output for better decision-making.