Content
81%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-engineered procedural skill: runnable inventory code, shape-specific ratio tables, explicit validation checkpoints with feedback loops, and a concrete output template. Weaker spots are minor padding (quoted Fowler content, redundant classification hints), a couple of dangling cross-skill references, and a phantom scripts/ path that does not match the actual single-file bundle.
Suggestions
Trim the References section's verbatim Fowler quotes and the Step 4 sentence re-explaining content-signal classification that the Step 1 code already demonstrates.
Resolve or remove dangling pointers: either give a concrete fallback for the junit-xml runtime aggregation and the change-shape classifier dependency, or drop those alternatives from Steps 2-3.
Either move the inventory script into an actual scripts/test-mix-inventory.py bundle file (matching the paths cited in Steps 1 and 6) or inline a short representative core, and consider moving the full Step 5 output template to a references/ file.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is operational and dense (executable classifier code, ratio tables, symptom/fix lists), but the References section quotes well-known Fowler content ("brittle, expensive to write, and time consuming to run") and Step 4 re-explains classification hints the Step 1 code already implements. Efficient with minor trimmable padding fits anchor 4, not the lean anchor 5. | 4 / 5 |
Actionability | The inventory script is complete and copy-paste runnable, and runtime measurement uses concrete commands ("time npm test", "time npx playwright test"). However, "OR via JUnit XML aggregation per junit-xml-analysis" is an unresolved pointer and Step 3 depends on another skill's classifier with no fallback, so guidance is mostly executable with minor gaps (anchor 4) rather than fully self-contained (anchor 5). | 4 / 5 |
Workflow Clarity | Seven clearly sequenced steps with explicit validation checkpoints and feedback loops: Step 1 requires sampling 5-10 tests per bucket and reclassifying/adjusting heuristics before proceeding, Step 4 requires user confirmation of the diagnosis before generating multi-sprint recommendations, and Step 6 re-runs the inventory and loops back to Step 4 if layers are outside target. This matches the top anchor with explicit validation and error-recovery loops. | 5 / 5 |
Progressive Disclosure | Section structure is good and all references are one level deep with no nesting, but no bundle files exist while the body labels inlined code "# scripts/test-mix-inventory.py" and later steps cite that path as if bundled; the ~38-line output template would also fit a references/ file. Good structure with minor organization gaps fits anchor 4 rather than the well-split anchor 5 or the inline-heavy anchor 3. | 4 / 5 |
Total | 17 / 20 Passed |