Content
88%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-structured, highly actionable maintainer skill with explicit validation checkpoints and copy-paste commands. It is token-efficient and uses one-level-deep references well, with only minor redundancy and inline detail that could be further deferred to the spec.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense but information-packed with actionable specifics (exact field names, 500-code-point limits, commands) and assumes Claude's competence without explaining YAML or catalog concepts; minor redundancy between step 4 and the step-6 checklist keeps it just below a 5. | 4 / 5 |
Actionability | Provides copy-paste-ready commands ('uv run python scripts/scaffold_catalog.py <pack>', 'make validate-collection-compliance') plus an 'Example usage' block and exact field/limit values, fully covering the common cases. | 5 / 5 |
Workflow Clarity | A clearly numbered 7-step sequence includes an explicit self-review checklist (step 6) and a validation gate ('make validate-collection-compliance before commit', step 7), satisfying the feedback-loop requirement for this batch/file-writing operation. | 5 / 5 |
Progressive Disclosure | Well-organized sections with one-level-deep, clearly signaled markdown links to repo references (COLLECTION_SPEC.md, catalog/schema.yaml, rh-sre/.catalog/deploy_and_use.md); no nested reference chains, though some dense inline guidance (multiline YAML style, code-point rules) could live more fully in the referenced spec. | 4 / 5 |
Total | 18 / 20 Passed |