self-critique

To run a self-assessment, provide your drafted code, documentation, or proposal output to the critique system. The self-assessment scores your work across key quality dimensions like clarity and correctness to identify weak aspects before you submit.

Structured self-evaluation is a quality control process that scores outputs across multiple dimensions prior to sharing. It prevents regressions by identifying overlooked issues and highlighting the weakest aspects of your work so you can prioritize fixes.

Yes, you can evaluate AI-generated reports for accuracy and coverage. The self-critique system assesses outputs across multiple professional quality dimensions, ensuring your AI-generated report is polished and correct before final emission.

The best way to identify weak aspects is to run your project summary through a structured self-evaluation. This quality control process scores your output across key dimensions and pinpoints the weakest areas, allowing you to prioritize necessary fixes.

No external dependencies or integrations are required. The self-evaluation skill operates independently to score your outputs across quality dimensions, allowing you to perform quality assurance directly within your existing workflow.

You should avoid using automated self-evaluation when your output requires subjective, context-specific human judgment that cannot be measured across standard quality dimensions, as the system focuses on structured scoring for regression prevention.