evaluate-tool

Evaluating a new tool before adoption involves reading your local catalog to identify overlap, assessing its fit within your dev loop stages, and judging quality signals to output a recommended action: ADOPT, REPLACE, SKIP, or DEFER.

Tool sprawl is the uncontrolled proliferation of redundant software. An automated catalog assessment reads existing entries to detect functional overlap and dev loop misalignment, preventing sprawl by outputting clear ADOPT, REPLACE, SKIP, or DEFER recommendations.

Checking plugin overlap involves comparing the new entry against your local catalog. The evaluation process applies workflow guidelines to identify overlapping capabilities, outputting a REPLACE or SKIP action if the new tool is redundant or misaligned.

Comparing catalog entries allows you to decide which AI skill to adopt. The evaluation assesses dev loop stage fit and quality signals for both, recommending one for ADOPT while suggesting you SKIP the other to prevent redundancy.

The limitation of dev loop alignment evaluation is its reliance on existing catalog entries and workflow guidelines. If your local catalog is incomplete or guidelines lack dev loop context, the ADOPT, SKIP, DEFER, or REPLACE recommendations may lack accuracy.