Version updated for https://github.com/nvuillam/megalinter-custom-flavor-npm-groovy-lint to version v10.0.0. This action is used across all versions by 2 repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary This custom MegaLinter project is designed to optimize Docker image size by using official MegaLinter images as a base and maintaining an optimized version on a different GitHub repository. It includes various linters such as Hadolint, Groovy linting, JavaScript Prettier, JSON linting, Markdown linting, and more. The custom flavor can be used in GitHub Actions workflows or directly with Docker images by replacing the official MegaLinter images with this optimized version.

Version updated for https://github.com/OculumDev/oculum-action to version v1.0.4. 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 This GitHub Action, Oculum Security Scan, is an AI-driven security scanner designed to detect various vulnerabilities in LLM-powered applications. It combines both AI and traditional static application security testing (SAST) methods to identify prompt injection, hardcoded secrets, SQL injection, XSS, and more. The action provides low false positives by using AI-assisted validation and integrates seamlessly with GitHub workflows to automatically scan pull requests and commits. Users can set different scan depths and fail thresholds based on their needs, and it offers options for customizing the directory and file patterns scanned.

Version updated for https://github.com/Param-10/pr-nutrition to version v0.3.0. This action is used across all versions by 0 repositories. Action Type This is a Node action using Node version 24. Go to the GitHub Marketplace to find the latest changes. Action Summary PR Nutrition is a local-first PR triage CLI that provides a simple review-readiness label based on Git metadata and file paths. It helps reviewers quickly identify the most important files to focus on, reducing the time spent reading through large or complex PRs. The tool uses a risk score to determine which changes are low-risk, medium-risk, or high-risk, making it easier for developers to prioritize their work.

Version updated for https://github.com/PieterDePauw/mdx-embeddings-actions to version v0.0.11. This action is used across all versions by ? repositories. Action Type This is a Node action using Node version 20. Go to the GitHub Marketplace to find the latest changes. Action Summary This GitHub Action automates the process of generating and storing document embeddings using OpenAI and Supabase. It reads markdown files from a specified directory, converts them into embeddings, and stores these embeddings in a PostgreSQL/Supabase database. This setup enables efficient vector similarity search within the documentation or website, facilitating quick access to relevant information.

Version updated for https://github.com/plainproof-labs/release-regression-guard to version v1.1.0. This action is used across all versions by ? repositories. Action Type This is a Node action using Node version 24. Go to the GitHub Marketplace to find the latest changes. Action Summary The Release Regression Guard action automates the verification of critical URLs after a deployment by comparing a repository-owned manifest with the deployed origin. It checks for broken redirects, noindex, canonical/metadata regressions, sitemap gaps, and missing internal links. The main functionality is to report these issues in the workflow Job Summary as pass, fail, unknown, or documented temporary exceptions.

Version updated for https://github.com/rezmoss/sbomlyze to version v0.5.1. This action is used across all versions by 0 repositories. Action Type This is a Node action using Node version 24. Go to the GitHub Marketplace to find the latest changes. Action Summary sbomlyze is a GitHub Action that compares two Software Bills of Materials (SBOMs) to identify changes and potential security risks. It checks for integrity drift, where a package’s hash changes without updating its version, which can indicate tampering. The action provides detailed reports and compliance scoring capabilities, helping to ensure the integrity and security of software supply chains.

Version updated for https://github.com/RivieraKid/gha-kaniko to version v1. This action is used across all versions by ? repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary This GitHub Action prints a greeting message to the log. It can greet either “World” or a specified name, and includes a timestamp in the output. What’s Changed My first action is ready (5619594) Initial commit (2a56a2a)

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.71. This action is used across all versions by ? repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary AgentAuditKit is a security scanner designed to audit MCP-connected AI agent pipelines. It automates the detection of misconfigurations, hardcoded secrets, tool poisoning, rug pulls, trust boundary violations, and tainted data flows across 10 agent platforms. Unlike hosted scanners that rely on machine learning, AgentAuditKit runs fully offline and deterministically, ensuring consistent findings and compliance evidence packs with support for 12 security frameworks.

Version updated for https://github.com/sdxiaomage/ci-health-audit to version v1.0.0. 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 This GitHub Action scans GitHub Actions workflows for common security and reliability risks such as untrusted pull-request head checkout, lack of permissions, missing timeouts, and attacker-controlled event fields. It produces a report in Markdown or JSON format and can fail the CI build at a chosen severity threshold. The audit is run locally on the runner without uploading workflow files to an external service.

Version updated for https://github.com/severity1/custom-amazon-bedrock-agent-action to version v0.9.0. This action is used across all versions by 1 repositories. Action Type This is a Node action using Node version 16. Go to the GitHub Marketplace to find the latest changes. Action Summary The GitHub Action uses Amazon Bedrock Agent to analyze files in a pull request and provide feedback. It integrates with Amazon Bedrock Knowledge Bases for context-aware insights, enhancing its capability in code quality improvement, security assessments, and performance optimizations. This action is highly customizable and integrates seamlessly into the PR process, posting analysis results as markdown-formatted comments.