Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.90. 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 AI agent pipelines and detect misconfigurations, hardcoded secrets, tool poisoning, rug pulls, trust boundary violations, and tainted data flows across multiple platforms. It can run offline and deterministically, ensuring that the findings are consistent across different runs without relying on external services.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.89. 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 automates the security audit of AI agent pipelines by identifying misconfigurations, hardcoded secrets, tool poisoning, rug pulls, trust boundary violations, and tainted data flows across 10 agent platforms. It provides a deterministic offline scan that does not rely on external network calls or models. The action is designed to help organizations ensure their AI agent systems are secure and compliant with industry standards like OWASP Agentic and MCP (MCP Security Index).

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.88. 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 automates the process of identifying misconfigurations, hardcoded secrets, and other security issues in AI agent pipelines. It ensures that your codebase is secure by scanning it offline and deterministically, without relying on external models or network calls. AgentAuditKit supports 10 different agent platforms and can detect vulnerabilities such as remote server with no authentication, inline-auth configs with static credentials, and more.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.87. 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 automates the security audit of AI agent pipelines, focusing on identifying misconfigurations, hardcoded secrets, tool poisoning, and trust boundary violations across 10 agent platforms. It provides a fully offline and deterministically run scan to avoid model inference and network calls, ensuring consistent findings with zero variance across multiple runs.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.86. 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 Summary: AgentAuditKit is a security scanner specifically designed for AI agent pipelines connected to the MCP ecosystem. It identifies misconfigurations, hardcoded secrets, tool poisoning, rug pulls, trust boundary violations, and tainted data flows across 10 agent platforms. The action is deterministic and offline, ensuring consistent findings without any network interactions or model involvement.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.85. 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 automates security scans for AI agent pipelines across 10 platforms, identifying misconfigurations, hardcoded secrets, tool poisoning, and tainted data flows. It ensures that your code, configs, and secrets remain secure by scanning locally without network calls and maintaining consistent results.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.80. 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 detect misconfigurations, hardcoded secrets, tool poisoning, and other vulnerabilities in AI agent pipelines. It runs offline and deterministically, ensuring that the same input always yields the same findings. Additionally, it produces auditor-ready compliance-evidence packs, including SARIF for GitHub Security tab and PDF reports mapped to multiple security frameworks.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.79. 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 automates security audits of AI agent pipelines by identifying misconfigurations, hardcoded secrets, and other security issues across 10 agent platforms. Unlike hosted scanners, it runs offline and deterministically, ensuring consistent findings without relying on LLMs or external models. Additionally, it provides auditor-ready compliance-evidence packs in SARIF format and PDF reports for multiple security frameworks, helping ensure robust security practices are followed.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.78. 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 AI agent pipelines, identifying misconfigurations, hardcoded secrets, tool poisoning, and other vulnerabilities. It runs fully offline and deterministically, producing auditor-ready compliance-evidence packs. What’s Changed Installation pip: pip install agent-audit-kit==v0.3.78 Docker:

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.77. 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 specifically designed for AI agents, focusing on identifying misconfigurations, hardcoded secrets, tool poisoning, rug pulls, trust boundary violations, and tainted data flows across various agent platforms. It ensures deterministic and offline scanning, producing auditor-ready compliance-evidence packs that meet industry standards like EU AI Act, SOC 2, and ISO 27001/42001.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.76. 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 Summary: AgentAuditKit automates the security audit of AI agent pipelines, detecting misconfigurations, hardcoded secrets, tool poisoning, and trust boundary violations. It runs offline and deterministically, ensuring consistent findings across different environments. The tool produces auditor-ready compliance-evidence packs, covering a wide range of security categories including 298 rules and 89 scanner modules.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.74. 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 automates the security auditing of AI agent pipelines by scanning and reporting on misconfigurations, hardcoded secrets, tool poisoning, and other potential vulnerabilities across 10 different platforms. Unlike hosted scanners, AgentAuditKit runs fully offline and deterministically, producing auditor-ready compliance-evidence packs that cover a wide range of security categories including EU AI Act, SOC 2, ISO 27001/42001, HIPAA, NIST AI RMF, and regional regimes.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.73. 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 Summary: AgentAuditKit is a security scanner designed to scan AI agent pipelines for misconfigurations, hardcoded secrets, tool poisoning, rug pulls, trust boundary violations, and tainted data flows. It runs fully offline and deterministically, ensuring consistent findings across different runs. The action provides auditor-ready compliance-evidence packs in SARIF format and PDF reports, covering 12 security frameworks.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.72. 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 AI agent pipelines offline and deterministically. It identifies misconfigurations, hardcoded secrets, tool poisoning, rug pulls, trust boundary violations, and tainted data flows across 10 agent platforms. Unlike hosted scanners, AgentAuditKit runs fully offline without network calls, ensuring reproducibility with a 0% variance in findings across multiple runs. Additionally, it produces auditor-ready compliance-evidence packs using SARIF for GitHub Security tab and PDF reports mapped to 12 security frameworks.

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/sattyamjjain/agent-audit-kit to version v0.3.70. 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 AI agent pipelines and identify misconfigurations, hardcoded secrets, tool poisoning, rug pulls, trust boundary violations, and tainted data flows across 10 agent platforms. It runs fully offline and deterministically, producing auditor-ready compliance-evidence packs that include SARIF for GitHub Security tab and PDF evidence reports mapped to 12 security frameworks. The action supports 85 scanner modules including AST-based Python taint analysis and regex pattern scanners for TypeScript/JavaScript and Rust.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.69. 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 is a security scanner designed to audit AI agent pipelines. It runs offline and deterministically, finds misconfigurations, hardcoded secrets, tool poisoning, rug pulls, trust boundary violations, and tainted data flows across 10 agent platforms. Key capabilities include running fully offline, producing auditor-ready compliance-evidence packs, and supporting OWASP coverage for top security categories. The action provides a total of 284 rules across 12 categories, with 85 scanner modules, including AST-based Python taint analysis and regex pattern scanners for TypeScript/JavaScript and Rust.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.68. 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 AI agent pipelines for potential misconfigurations, hardcoded secrets, tool poisoning, and other vulnerabilities. It is the missing npm audit solution specifically tailored for AI agents, running offline and deterministically without relying on an LLM. The action produces auditor-ready compliance-evidence packs including SARIF reports and PDF evidence reports mapped to 12 security frameworks, ensuring precision and reliability in security audits.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.67. 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 AI agent pipelines for misconfigurations, hardcoded secrets, tool poisoning, rug pulls, trust boundary violations, and tainted data flows across 10 agent platforms. It runs fully offline and deterministically, avoiding the need for network calls and ensuring consistent findings. Additionally, it produces auditor-ready compliance-evidence packs in SARIF format, covering multiple security categories and frameworks.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.66. 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 Summary: AgentAuditKit is a security scanner designed to audit AI agent pipelines offline and deterministically. It identifies misconfigurations, hardcoded secrets, tool poisoning, rug pulls, trust boundary violations, and tainted data flows across 10 major agent platforms. Unlike hosted scanners, AgentAuditKit runs fully offline and produces auditor-ready compliance-evidence packs using SARIF for the GitHub Security tab and PDF reports mapped to 12 security frameworks, ensuring precision in detection and auditability.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.65. 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 The AgentAuditKit action is a security scanner designed to audit AI agent pipelines. It ensures that your code, configs, and secrets remain secure by identifying misconfigurations, hardcoded secrets, tool poisoning, rug pulls, trust boundary violations, and tainted data flows across various platforms. Unlike hosted scanners, it runs fully offline and deterministically, producing auditor-ready compliance-evidence packs in SARIF and PDF formats for 12 security frameworks. It covers 274 rules across 10 agent platforms, including AST-based Python taint analysis and regex pattern scanners for TypeScript/JavaScript and Rust.