Content
86%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 concise, well-organized instruction skill that provides specific actionable guidance (model routing, decomposition rule, cost tracking) without padding. The eval-first workflow is clearly sequenced but could name explicit error-recovery checkpoints.
Suggestions
Add an explicit error-recovery/feedback step to the Eval-First Loop (e.g., 'If regression eval regresses, revert and re-decompose the failing unit') to strengthen workflow validation.
Consider a brief 'Definition of done' checklist tied to the completion-criteria principle so the loop's terminal condition is unambiguous.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean throughout — short bulleted lists and terse section headers with no padding and no explanation of concepts Claude already knows; every token earns its place. | 5 / 5 |
Actionability | Guidance is concrete and specific — the model-tier routing table (Haiku/Sonnet/Opus with task types), the 15-minute unit rule criteria, and the per-task tracking fields are actionable — with only minor gaps and no dead weight. | 4 / 5 |
Workflow Clarity | The Eval-First Loop is a clearly sequenced four-step process with a re-run-and-compare-deltas checkpoint, but it lacks explicit error-recovery/feedback-loop steps that would lift it to a 5. | 4 / 5 |
Progressive Disclosure | No bundle files exist and none are needed; the content is compact and organized into clear, well-signaled sections (Operating Principles, Eval-First Loop, Task Decomposition, Model Routing, etc.) making navigation easy. | 5 / 5 |
Total | 18 / 20 Passed |