Content
67%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.
The content is highly actionable with comprehensive executable examples and a sound, well-referenced structure, but it is markedly over-long and restates background knowledge Claude already has. Trimming the boilerplate lists and pushing more detail into the existing reference files would meaningfully improve token efficiency without losing actionability.
Suggestions
Cut or condense the 'Best Practices' and 'Common Pitfalls' lists, which restate general statistical knowledge Claude already has, and the Bayesian 'Key Advantages' section.
Move the full APA report templates and the four-panel matplotlib diagnostic block into references/reporting_standards.md and references/assumptions_and_diagnostics.md, leaving only a compact inline example.
Tighten the code examples to the minimal executable core and remove inline setup boilerplate (e.g., repeated matplotlib axis labeling) that Claude can fill in.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~620-line body is noticeably verbose: the 'Best Practices' (10 items), 'Common Pitfalls' (10 items), and 'Key Advantages' of Bayesian sections largely restate statistical knowledge Claude already has, and full matplotlib figure-setup code pads several examples. | 2 / 5 |
Actionability | Provides fully executable, copy-paste-ready code for the common cases — pingouin t-test/ANOVA, statsmodels regression with VIF diagnostics, pymc Bayesian t-test, and statsmodels power analysis — covering the core workflows with concrete, runnable snippets. | 5 / 5 |
Workflow Clarity | A decision tree plus a sequenced 'Getting Started Checklist' give a clear path through the work; checkpoints are mostly implicit (assumption checks are recommended but not enforced as validate-remediate-recheck loops), leaving minor validation gaps. | 4 / 5 |
Progressive Disclosure | References are real, one level deep, and clearly signaled ('See references/...md') with a dedicated Resources section; structure is good, though a fair amount of content (full report templates, effect-size table, large code blocks) stays inlined rather than pushed to the reference files. | 4 / 5 |
Total | 15 / 20 Passed |