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, highly actionable skill body with executable code, a clear sequenced workflow, and an explicit validate-fix-retry loop. The only weakness is mild redundancy between the numbered steps and the worked example.
Suggestions
Tighten the 'Worked example' section so it illustrates a non-obvious decision rather than re-walking Steps 1, 3, 5, 6, and 7 that are already fully specified above.
Consider trimming the inline Python block in Step 5 to one representative stub and pointing the rest to the matrix.yaml pattern, since the catalog reference already enumerates the cases.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and free of concept-padding, but the 'Worked example' section re-narrates the Step 1→7 flow already laid out in the numbered steps, which is redundant and could be tightened per the verbosity penalty. | 2 / 3 |
Actionability | Provides copy-paste-ready grep commands, a category→test-needs table, a per-language harness table, a YAML matrix schema, and fully executable freezegun Python stubs with real assertions. | 3 / 3 |
Workflow Clarity | Seven clearly sequenced steps with an explicit validation feedback loop in Step 6 ('run... assert every DST and leap-day case... If a case errors... fix the harness mapping... re-run until the matrix is green'), appropriate for a batch test-generation operation. | 3 / 3 |
Progressive Disclosure | The body is an overview that offloads the per-category test catalog to a clearly signaled one-level-deep reference (references/test-catalog.md, verified present), with companion catalogs and harnesses named but kept out of the main flow. | 3 / 3 |
Total | 11 / 12 Passed |