Content
57%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is well-structured with actionable tables and a concrete engine example, but the core algorithm is described rather than made executable and the workflow lacks validation checkpoints, leaving it competent but not fully action-ready.
Suggestions
Add an executable code snippet for the core 4-step flow (compute factors → z-score → combine → select TopN), not just the Zoo engine example.
Include a validation checkpoint for cross-sectional standardization (e.g. asserting >=3 valid stocks and finite z-scores before ranking).
Tighten the Zoo Signal Engine prose, moving deeper rationale into a linked reference rather than inline narrative.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The factor/parameter tables and pitfalls are lean and earn their tokens, but the "Zoo Signal Engine" prose is somewhat padded with explanatory clauses that could be tightened. | 2 / 3 |
Actionability | It provides a concrete ZooSignalEngine code example plus parameter and factor tables, but the core 4-step signal logic is described in prose rather than given as executable, copy-paste-ready code. | 2 / 3 |
Workflow Clarity | The Signal Logic steps are clearly sequenced (calculate → standardize → score → rank), but there are no validation checkpoints or feedback loops for the cross-sectional computation. | 2 / 3 |
Progressive Disclosure | The single file is organized into clearly labeled sections with one-level cross-references to the alpha-zoo skill and engine modules, and no deeply nested references. | 3 / 3 |
Total | 9 / 12 Passed |