Content
31%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 is an exhaustive capability catalogue rather than actionable guidance: it lists techniques Claude already knows, includes no executable code or concrete commands, and inlines everything instead of progressively disclosing detail via reference files. Workflows have a sequence but lack concrete validation checkpoints.
Suggestions
Replace the long capability/Knowledge Base enumerations with a few executable code templates (e.g., a pandas EDA snippet, an sklearn train/evaluate block, a statsmodels A/B-test snippet) covering the common cases.
Move the per-domain technique lists into reference files (e.g., references/statistical-methods.md, references/ml-methods.md) and have SKILL.md point to them one level deep.
Add concrete validation checkpoints to the Response Approach (e.g., specific checks for data leakage, train/test split integrity, and residual diagnostics) with explicit fix-and-retry feedback loops.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is noticeably verbose, spending ~170 lines enumerating techniques and tools Claude already knows (ARIMA, Prophet, XGBoost, scikit-learn, SHAP, LIME, etc.) plus a padded 'Knowledge Base' section restating fundamentals, matching anchor 2's 'several unnecessary explanations or padded sections' rather than the mostly-efficient anchor 3. | 2 / 5 |
Actionability | There is no executable code, no commands, and no copy-paste examples; the 'Instructions' are abstract ('Apply relevant best practices and validate outcomes') and the body describes capabilities rather than instructing, fitting anchor 2 ('minimal concrete guidance; high-level hints but missing the specific steps to execute') rather than anchor 1 only because a numbered 'Response Approach' process outline exists. | 2 / 5 |
Workflow Clarity | The 8-step 'Response Approach' gives a clear sequence but validation checkpoints are vague ('Validate results rigorously through statistical testing') with no concrete commands or error-recovery feedback loops, matching anchor 3 ('steps listed but validation gaps; checkpoints missing or implicit'). | 3 / 5 |
Progressive Disclosure | No bundle files exist and the entire capability catalogue is inlined as a monolithic wall of text in SKILL.md with only section headers; content that clearly belongs in separate reference files (long per-domain technique lists) is not split out, matching anchor 2 ('minimal structure; content that clearly belongs in separate files is inlined'). | 2 / 5 |
Total | 9 / 20 Passed |