Content
70%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 body delivers strong, actionable statistical guidance with an exemplary phased workflow, validation checkpoints, and a completeness checklist. Its weaknesses are notable duplication (Quick Start vs Phase 1, ANOVA guidance vs Pattern 5, benchmark-specific padding) and a progressive-disclosure chain whose referenced files are missing from the bundle entirely.
Suggestions
Ship the referenced bundle files or remove the pointers: every reference (`references/*.md`, `scripts/*.py`, `QUICK_START.md`, `EXAMPLES.md`, `TOOLS_REFERENCE.md`) currently points to a nonexistent file.
De-duplicate: keep one canonical logistic/Cox example (drop the Quick Start copies of Phase 1 code) and merge Pattern 5 into the Phase 1 multi-feature ANOVA section instead of restating the decision tree and per-feature guidance twice.
Fix the two code defects: replace the broken `results = cph.check_assumptions(...)` / `len(results)` usage, and define or parameterize `expression_matrix` in the ANOVA Method A/B snippets; move benchmark-specific expected values (e.g. bix-36-q1, 0.76–0.78) into a reference file.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient — no explanation of basic concepts and code is dense — but there is real duplication: the Quick Start logistic/Cox code is repeated nearly verbatim in Phase 1, the per-feature ANOVA guidance appears in full in Phase 1 and again as Pattern 5 ("default to per-feature ANOVA" stated three times), and benchmark-specific walkthroughs ("BixBench bix-36-q1... Expected: 0.76-0.78") read as over-fitted padding. Falls between anchor 2 (several padded sections) and anchor 4 (minor trimming); anchor 3 fits best. | 3 / 5 |
Actionability | Concrete, mostly executable guidance for every model family (statsmodels formulas, lifelines Cox, scipy ANOVA). Not anchor 5: the ANOVA Method A/B code depends on an undefined `expression_matrix` variable, and `cph.check_assumptions()` returns None so `if len(results) == 0` would raise TypeError — minor but real gaps in copy-paste readiness. | 4 / 5 |
Workflow Clarity | Clear phased sequence (Phase 0 data validation → Phase 1 model fitting → Phase 2 diagnostics → Phase 3 interpretation) with an explicit up-front validation checkpoint, a model-selection decision tree, error-recovery guidance for convergence/separation/collinearity, and an end-of-task completeness checklist — matches anchor 5 exactly. | 5 / 5 |
Progressive Disclosure | References are clearly signaled one level deep and a file-structure map is provided, but scored against the actual bundle: none of the referenced files exist (`references/`, `scripts/`, `QUICK_START.md`, `EXAMPLES.md`, `TOOLS_REFERENCE.md` are all absent), so every pointer is broken and much of the content that the structure says is delegated is inlined at length in SKILL.md — anchor 3, not 4, because the disclosure chain does not resolve. | 3 / 5 |
Total | 15 / 20 Passed |