Version updated for https://github.com/garagon/aguara to version v0.13.0. 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 Aguara is a security scanning GitHub Action designed to detect vulnerabilities in AI agent skills and MCP servers, such as prompt injection, data exfiltration, and supply-chain attacks, before deployment. It automates static analysis using advanced techniques like NLP, taint tracking, and cross-file analysis, offering comprehensive threat detection across multiple file formats.

Version updated for https://github.com/garagon/aguara to version v0.12.1. 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 Aguara is a security scanner designed to detect and prevent threats such as prompt injection, data exfiltration, and supply-chain attacks in AI agent skills and MCP servers before deployment. It automates comprehensive static analysis using advanced techniques like pattern matching, NLP, taint tracking, and cross-file toxic flow analysis to identify vulnerabilities and obfuscated payloads.

Version updated for https://github.com/garagon/aguara to version v0.12.0. 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 Aguara is a security scanner designed to detect and prevent vulnerabilities in AI agent skills and MCP (multi-capabilities platform) servers before deployment. It automates the identification of threats such as prompt injection, data exfiltration, supply-chain attacks, and obfuscated payloads using a multi-layer analysis engine, cross-file toxic flow detection, and advanced decoding techniques.

Version updated for https://github.com/garagon/aguara to version v0.10.0. 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 Aguara is a security scanner designed to analyze AI agent skills and MCP servers, detecting vulnerabilities like prompt injection, data exfiltration, and supply-chain attacks before deployment. It automates static code analysis using advanced techniques, including pattern matching, NLP, and taint tracking, to identify and mitigate risks across multiple file formats and configurations.

Version updated for https://github.com/garagon/aguara to version v0.8.0. 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 Aguara is a security scanning tool designed to detect vulnerabilities in AI agent skills and MCP (multi-agent control protocol) servers before deployment. It identifies threats such as prompt injection, data exfiltration, and supply-chain attacks using a four-layer static analysis engine, which combines techniques like pattern matching, NLP-based markdown analysis, and taint tracking.

Version updated for https://github.com/garagon/aguara to version v0.7.0. 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 Aguara is a security scanner designed to analyze AI agent skills and MCP servers, detecting threats like prompt injection, data exfiltration, and supply-chain attacks before deployment. It automates static analysis using a multi-layer engine with 173 detection rules across 13 threat categories, providing confidence scoring, remediation guidance, and support for CI integration.

Version updated for https://github.com/garagon/aguara to version v0.6.0. 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 Aguara is a security scanning tool designed to analyze AI agent skills and MCP server configurations for vulnerabilities such as prompt injections, data exfiltration, and supply-chain attacks. It automates static code analysis using over 173 rules to detect potential threats before deployment, eliminating the need for external APIs or cloud services.