Content
80%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 lean, well-structured, and actionable with concrete factor and parameter tables, but the batch rebalancing workflow lacks explicit validation checkpoints within the sequenced steps.
Suggestions
Add explicit validation checkpoints to the Signal Logic sequence (e.g. verify >=3 stocks before Z-score normalization, confirm weight normalization sums to 1 after selection).
Include a short executable snippet for Z-score standardization and TopN weight assignment to reach full copy-paste readiness.
Surface the cross-sectional minimum-sample and direction-alignment checks as numbered validation steps rather than only as prose pitfalls.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and well-sectioned with no padding or explanation of basic concepts (no Z-score or pandas preamble), so every token earns its place. | 5 / 5 |
Actionability | Concrete factor tables with calculation methods/directions and parameter defaults give mostly executable guidance, but the absence of any code or formula snippets leaves minor gaps versus copy-paste readiness. | 4 / 5 |
Workflow Clarity | Signal Logic is a clear numbered 4-step sequence, but as a batch rebalancing operation it lacks explicit validation checkpoints in the workflow; validation appears only as prose pitfalls, so the batch-operation cap applies. | 3 / 5 |
Progressive Disclosure | A short (~52 line) single-purpose skill with no external references and clearly organized sections qualifies for the simple-skill exception, scoring 5 on structure and navigability. | 5 / 5 |
Total | 17 / 20 Passed |