lfe-inspector

You can validate code implementation by checking the codebase against domain truth, validation baselines, and numerical baselines to ensure accuracy and prevent regressions. This Skill handles verification for unfamiliar code areas and provides manual verification options.

Math drift and regressions occur when code implementation deviates from documented domain knowledge or numerical baselines. Running automated checks against validation baselines identifies and diagnoses these specific regressions before features are sent to the Archivist.

The best way to prevent regressions is integrating automated validation checks into your LFE development workflow. Execute the validation command within your project to verify the current implementation against domain truth and numerical baselines before submission.

Yes, code validation incorporates sub-skills for security, performance, and complexity checks. These automated checks run together to ensure overall code integrity and accuracy within LFE-compliant projects during the verification process.

To verify code accuracy in unfamiliar areas, the Skill provides manual verification capabilities and checks the implementation against documented domain knowledge. This ensures the unfamiliar code matches validation baselines and maintains required integrity.

No specific dependencies are required to use this validation functionality. The Skill operates using included scripts and references to perform automated checks against domain truth and numerical baselines within your existing LFE-compliant project environment.