Content
73%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 a well-organized, concise reference for a single-purpose seasonal signal strategy with clear signal logic and pitfalls, but it lacks any executable code implementing the signal, leaving actionability incomplete.
Suggestions
Add a short, copy-paste-ready code snippet that computes the signal series from an OHLCV frame using the documented parameters (e.g. using pd.DatetimeIndex.month/weekday and the bullish/bearish lists) to move actionability from pseudocode to executable.
Merge or trim the overlap between the 'Common Calendar Effects Reference' table and the 'Parameters' table to tighten token efficiency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean — tables, short bullets, no padding or explanations of basic concepts — with only minor redundancy between the 'Common Calendar Effects Reference' and 'Parameters' sections that could be tightened. | 4 / 5 |
Actionability | Parameters, signal convention (1/-1/0), and pandas index semantics are concrete, but the signal logic is expressed only as prose/pseudocode ('Month signal × weekday signal; open a position only when both confirm') with no executable code implementing the signal. | 3 / 5 |
Workflow Clarity | This single-purpose signal-generation skill has its single action laid out unambiguously across month effect, weekday overlay, and combined mode with explicit signal convention and pitfalls; no destructive or batch operation requires validation checkpoints. | 5 / 5 |
Progressive Disclosure | The body is self-contained with clear section headers (Purpose, Signal Logic, Parameters, Common Pitfalls, Dependencies, Signal Convention) and no nested external references; it sits just above the ~50-line simple-skill threshold with minor organization gaps from the partly redundant reference table. | 4 / 5 |
Total | 16 / 20 Passed |