Agent skills: what can go wrong? (github.com)

A new tool called skill-audit has been launched to enhance security for AI agents that utilize modular "skills," which are packages containing executable code. Given that these skills can directly execute commands on user machines, they pose significant security risks if not thoroughly vetted. The skill-audit tool offers several features, including prompt injection detection, secret scanning for hardcoded API keys or credentials, shell script analysis, and code security checks for Python and JavaScript. The output is compatible with CI/CD pipelines, making it a valuable resource for developers. This development is particularly significant for the AI/ML community as it addresses the growing concerns surrounding the security of AI agents. With the rise of skills that can manipulate system functions, ensuring that these components do not contain vulnerabilities or malicious patterns is critical. The tool's extensibility through a plugin architecture further allows developers to customize security checks based on their specific needs, reinforcing overall system integrity. However, it's essential to note that skill-audit is a static analysis tool and not foolproof; users are advised to conduct manual reviews of skills before full deployment.