self-contained-auditor-yashu

Static analysis evaluates a skill directory to verify self-containment by checking if knowledge, experience, and norms are fully contained internally, and detects hardcoded private paths or proprietary AI client commands that break cross-platform compatibility.

Skills fail across different AI environments due to hidden dependencies and host-binding, where proprietary commands or hardcoded paths prevent the skill from functioning outside its original host environment.

Static analysis for skill portability evaluates whether a skill's knowledge, experience, and norms are fully contained within its own directory, ensuring it does not rely on external or host-specific features to function.

You detect hardcoded private paths by running a portability check that scans the skill directory to identify proprietary AI client commands or host-specific paths that break cross-platform compatibility.

Yes, a self-contained skill audit checks for proprietary AI client commands like read_me or show_widget to ensure the skill remains truly portable and does not rely on specific AI client features.

A skill portability audit report includes detailed findings, severity levels, and actionable remediation steps to help resolve identified self-containment issues and hardcoded path dependencies.