Content
72%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 a tight, well-structured strategy spec: concrete formulas, a parameter table, two copy-paste config examples, and a pitfalls section that pre-empts real failure modes. The main weakness is the absence of validation checkpoints in the workflow — nothing verifies pair suitability (correlation, non-zero std) or date alignment before signals are generated.
Suggestions
Add an explicit validation step before signal generation, e.g. 'Before trading, verify: len(aligned_df) > lookback, std > 0 at every bar, and rolling correlation > threshold (e.g. 0.8); abort or skip signals otherwise.'
Turn the date-alignment pitfall into a concrete checkpoint with code, e.g. 'df = df1.join(df2, how="inner"); assert len(df) == len(df1) or warn about missing bars.'
Provide a small executable snippet for the signal-generation step so the whole pipeline is copy-paste runnable rather than formula fragments.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and operational (parameters table, config examples, pitfalls, signal conventions) with no padded conceptual filler; the only trimmable redundancy is the 'Purpose' paragraph, which restates the strategy already conveyed by the frontmatter description and Signal Logic. | 4 / 5 |
Actionability | Concrete pandas-style formulas ('ratio = close_A / close_B', rolling mean/std, Z-score), explicit entry/exit thresholds, copy-paste-ready config.json examples for both stock and crypto cases, and an install command are all present; the only gap is that signal logic is given as formulas rather than a complete executable snippet. | 4 / 5 |
Workflow Clarity | The 4-step signal sequence (ratio, rolling stats, Z-score, signals) is clear and pitfalls flag failure modes, but there are no explicit validation checkpoints (e.g., verify date alignment succeeded, confirm correlation/std > 0 before trading), and backtesting over a date range is a batch operation — capping workflow clarity at 3. | 3 / 5 |
Progressive Disclosure | This is a single-purpose skill with no bundle files and no content that belongs in separate references; the body is well-organized into clearly labeled sections (Purpose, Signal Logic, Parameters, Example config, Pitfalls, Dependencies, Signal Convention) and is fully navigable as-is. | 5 / 5 |
Total | 16 / 20 Passed |