Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a high-quality, token-efficient skill spec: concrete tool calls, well-sequenced workflow with explicit validation/feedback loops, and clean single-file organization. It earns top marks across all content dimensions.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and dense — concrete tool calls, field definitions, and templates with no padding or explanation of concepts Claude already knows; every section earns its tokens. | 3 / 3 |
Actionability | Provides concrete tool signatures with parameters (extract_shadow_strategy(journal_path=...), run_shadow_backtest(shadow_id=..., journal_path=...)), exact output field names, dialogue templates with placeholders, and a ready-to-inject rule-translation prompt — fully actionable guidance. | 3 / 3 |
Workflow Clarity | Four-step workflow is explicitly sequenced (1-4) with feedback loops: '如果用户说不像，提高 min_support 重跑', '样本不足 profitable roundtrips < 5 → raise', and weasyprint-failure fallback — clear validation checkpoints and error recovery. | 3 / 3 |
Progressive Disclosure | Single self-contained file, well-organized into clear sections (触发/工作流/产出解读/对话模板/红线) with no bundle files to navigate; appropriately scoped with no nested references. | 3 / 3 |
Total | 12 / 12 Passed |