Content
71%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 well-structured with executable script calls, three concrete market examples, and clean progressive disclosure to real bundle files. Its main weakness is redundant gap-analysis exposition repeated across several sections that should be consolidated.
Suggestions
Consolidate the gap-analysis guidance: explain 向上/向下缺口 support-resistance behavior once (in 注意事项 or a reference) instead of repeating it in steps 4, 5, 6, and the注意事项 section.
Remove the duplicate dependency block in 前置准备 since it is already declared in the YAML frontmatter.
Add an explicit validation/error-recovery checkpoint after data fetching (e.g., what to do if the API returns no data or an invalid stock code) to strengthen the workflow's feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and does not explain basic concepts Claude already knows, but gap analysis is repeated across step 4, step 5, step 6, and a full '缺口分析要点' block in 注意事项, which could be consolidated; the 前置准备 dependency list also duplicates the frontmatter. | 3 / 5 |
Actionability | Provides concrete, executable script invocations with parameters ('scripts/fetch_stock_data.py --stock_code ... --days ...', 'scripts/analyze_stock.py --data_file ...') and three copy-paste examples, but steps 4–6 ('综合技术指标和趋势分析', '对未来3天走势进行判断') remain descriptive rather than fully executable. | 4 / 5 |
Workflow Clarity | A clearly numbered six-step sequence with a weak validation checkpoint in step 1 ('确保代码格式正确'); this is a non-destructive analysis skill so the destructive/batch cap does not apply, though explicit error-recovery feedback loops for failed data fetches are missing. | 4 / 5 |
Progressive Disclosure | The body is an overview pointing to real, one-level-deep bundle files — scripts/fetch_stock_data.py, scripts/analyze_stock.py, and references/stock_code_format.md — all clearly signaled with purposes in the 资源索引 section, making navigation easy. | 5 / 5 |
Total | 16 / 20 Passed |