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 high-quality, actionable skill body with excellent progressive disclosure and executable examples. Minor gains are available in tightening motivational prose and making workflow feedback loops more explicit.
Suggestions
Tighten the Overview's motivational sentences and the post-hoc power blockquote to pure guidance to improve conciseness.
Add an explicit feedback loop in the Workflow (e.g., 'if required n is infeasible, revisit the effect-size justification or switch to simulation') to strengthen validation checkpoints.
Consider moving the detailed 'Adjustments people forget' and 'Common pitfalls' lists into a reference file if the body grows, keeping the overview lean.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense and expert-targeted with every sentence carrying actionable content, but a few motivational/editorial sentences in the Overview and the 'Avoid post-hoc power' blockquote could be trimmed without losing guidance. | 4 / 5 |
Actionability | Provides copy-paste-ready closed-form examples across seven test types with explicit argument values, a concrete simulation harness call with its gen_and_test signature, explicit adjustment formulas, and an adaptable reporting template. | 5 / 5 |
Workflow Clarity | A clear 7-step Workflow sequence is present with some implicit checkpoints (sensitivity analysis as feedback, Monte Carlo CI as verification), but explicit error-recovery feedback loops ('if infeasible, reconsider X') are not stated. | 4 / 5 |
Progressive Disclosure | Well-organized sections with one-level-deep references to the three reference files and two scripts, all of which exist; inline pointers and the Resources section clearly signal where detail lives. | 5 / 5 |
Total | 18 / 20 Passed |