swarm-review
Version updated for https://github.com/EvanGribar/Swarm-Review to version 0.1.1.
- This action is used across all versions by ? repositories.
Action Type
This is a Node action using Node version 20.
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Action Summary
Summary:
The swarm-review GitHub Action automates pull request reviews by leveraging multiple AI agents, each specializing in areas like security, performance, architecture, or developer experience. These agents independently analyze code changes, engage in structured debates to challenge or reinforce findings, and produce a synthesized final review comment via a principal agent. This action streamlines and enhances code review processes, providing teams with comprehensive, collaborative, and specialized feedback.
Fallow - Codebase Health
Version updated for https://github.com/fallow-rs/fallow to version v2.44.2.
- This action is used across all versions by 9 repositories.
Action Type
This is a Composite action.
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Action Summary
Fallow is a static analysis tool for TypeScript and JavaScript that identifies unused code, duplication, complexity, and architectural issues across an entire codebase. It automates codebase cleanup and optimization, helping developers improve maintainability, enforce boundaries, and streamline AI-assisted development workflows. With its zero-configuration setup, sub-second performance, and optional runtime insights for production behavior, Fallow provides a comprehensive and efficient solution for code quality and health analysis.
Run Checkov with reviewdog
Version updated for https://github.com/fulgas/reviewdog-action-checkov to version v2.10.0.
- This action is used across all versions by ? repositories.
Action Type
This is a Docker action.
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Action Summary
The Checkov + Reviewdog GitHub Action automates security scanning for Infrastructure as Code (IaC) files such as Terraform, CloudFormation, and Kubernetes, using Checkov. It integrates with Reviewdog to provide inline feedback on pull requests, helping developers identify and address security issues directly within their workflows. This action simplifies the process of enforcing security best practices, offering configurable severity levels, filtering options, and streamlined execution via a pre-built Docker image.
Deploy getbao
Version updated for https://github.com/getbao/action to version v0.0.0-alpha.
- This action is used across all versions by ? repositories.
Action Type
This is a Composite action.
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Action Summary
The getbao Deploy Action automates the deployment of a getbao authentication service to Cloudflare Workers directly from a GitHub workflow. It streamlines tasks such as retrieving versioned assets, provisioning infrastructure (e.g., databases and namespaces), applying migrations, deploying workers, and initializing encryption keys and secrets. This action simplifies and accelerates the deployment process while ensuring infrastructure changes are tracked and committed via pull requests.
agent-cfi
Version updated for https://github.com/grcwarlock/agent-cfi to version v0.2.1.
- 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 agent-cfi GitHub Action provides Control Flow Integrity (CFI) for AI agents by verifying that their tool-call behavior remains consistent across code changes. It automates the detection of unauthorized tool calls or deviations in the agent’s call graph, helping identify vulnerabilities like prompt injections or unexpected behavior during CI workflows. Key capabilities include baseline graph creation, PR-based drift detection, and proactive security testing with red-team probes based on real-world vulnerabilities.
Model Scanner
Version updated for https://github.com/hiddenlayerai/hiddenlayer-model-scan-github-action to version v1.0.8.
- This action is used across all versions by 3 repositories.
Action Type
This is a Docker action.
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Action Summary
The HiddenLayer Model Scanner GitHub Action integrates model scanning into CI pipelines, automating the detection of potential security issues in machine learning models stored in repositories or on AWS S3. It provides clear scan results (e.g., identifying malicious models) in the GitHub Actions Job Summary or pull requests, and supports optional features like SARIF output and community scan capabilities. This action helps streamline security checks for machine learning workflows, ensuring the integrity of deployed models.
jPipe Runner
Version updated for https://github.com/jpipe-mcscert/jpipe-runner to version v3.4.0.
- This action is used across all versions by 2 repositories.
Action Type
This is a Composite action.
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Action Summary
jPipe Runner is a command-line tool designed to execute and validate workflows created using the jPipe framework. It automates tasks such as defining template variables, loading custom Python modules, generating workflow diagrams, and performing dry-run validations. Its key capabilities include flexible workflow execution, diagram generation, and configuration management to streamline workflow development and visualization.
SecondBrainAction
Version updated for https://github.com/mcasperson/SecondBrain to version +run2616-attempt1.
- This action is used across all versions by 1 repositories.
Action Type
This is a Docker action.
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Action Summary
SecondBrain is a CLI tool that integrates with external data sources (e.g., Salesforce, Slack, Zendesk) to retrieve, filter, and analyze data using a Large Language Model (LLM). By leveraging Retrieval Augmented Generation (RAG) techniques, it automates tasks such as generating summaries, reports, and insights from diverse and disconnected datasets. Key capabilities include analyzing directories of files, summarizing GitHub repository changes, and extracting insights from YouTube transcripts.
Binary Size & Memory Footprint Tracking
Version updated for https://github.com/membrowse/membrowse-action to version v1.2.2.
This publisher is shown as ‘verified’ by GitHub.
This action is used across all versions by 0 repositories.
Action Type
This is a Composite action.
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Action Summary
MemBrowse is a GitHub Action designed to analyze the binary size and memory footprint of embedded firmware by extracting detailed memory information from ELF files and linker scripts. It automates symbol-level analysis with source file mapping, memory region extraction, and historical tracking by integrating with the MemBrowse platform for continuous monitoring, reporting, and CI gating. Key capabilities include PR memory analysis with utilization changes, symbol-level deltas, and customizable PR comments, as well as historical onboarding of previous builds for comprehensive memory tracking.
Run AER Tests
Version updated for https://github.com/octoberswimmer/aer-dist to version v0.0.161.
- This action is used across all versions by 0 repositories.
Action Type
This is a Composite action.
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Action Summary
The aer GitHub Action enables developers to validate Apex code, execute tests, and simulate a lightweight Salesforce-compatible runtime directly in their CI/CD pipelines. It automates the process of running Apex tests without requiring deployment to a Salesforce org, significantly improving iteration speed and test reproducibility. Key capabilities include running test suites, debugging code interactively, and simulating Salesforce-like behavior using local SObject metadata.