Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable skill body with a clear multi-step workflow and good progressive disclosure via a single verified reference. Its only weakness is moderate verbosity in the conceptual framing and repeated citation prose at the top.
Suggestions
Trim the Overview's explanation of the test-pyramid model and the Mike Cohn provenance — Claude already knows this; keep only the differentiation point.
Consolidate the repeated inline Fowler citation prose (appearances in Overview, Step 3, Step 5, and References) into the single References section to save tokens.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with dense tables and concrete steps, but the Overview explains the test-pyramid concept and credits Mike Cohn's 2009 book, and citation prose is repeated across sections — tightening these would reach the lean level-3 anchor. It is not the verbose concept-padded level-1 anchor. | 2 / 3 |
Actionability | Provides executable commands ('git log --since=... --no-merges --name-only', 'git diff --name-only origin/main...HEAD'), concrete path/content signal tables, a referenced runnable classifier, and a full worked example with real output — copy-paste ready. | 3 / 3 |
Workflow Clarity | A clearly sequenced five-step process (Collect, Classify, Reduce, Compute, Attach cost) with explicit tie-break rules and a 'mixed' flag feeding a human-triage review loop, matching the clear-sequence-with-checkpoints anchor. | 3 / 3 |
Progressive Disclosure | The body is an overview that offloads the runnable classifier detail to a single one-level-deep, well-signaled reference (references/change-shape-classification-script.md, verified present) rather than inlining it, matching the clear-overview-with-one-level-references anchor. | 3 / 3 |
Total | 11 / 12 Passed |