Content
82%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 lean, highly actionable financial-data spec with concrete source tables, executable commands, explicit error thresholds, and a clear three-step workflow with validation gates. Its main weakness is that all reference material is inlined in one file with no bundle files for deeper navigation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and information-rich with no padding of concepts Claude already knows; nearly every section earns its place with URLs, commands, or thresholds, with only minor explanatory asides in the '常见差异原因' table. | 4 / 5 |
Actionability | It provides copy-paste-ready commands (e.g. 'python3 tools/twstock_data.py quote 2330'), concrete URL templates with ticker substitution, an explicit error formula, and an output-format template covering common cases. | 5 / 5 |
Workflow Clarity | The 第一步/第二步/第三步 sequence is clear and the error-threshold table provides explicit validation gates (≤1% accept, 1-5% flag, >5% must re-verify against原始财报), though the re-validation feedback loop is somewhat implicit rather than a spelled-out fix-and-retry cycle. | 4 / 5 |
Progressive Disclosure | Content is well-organized under clear section headers with a 快速索引 navigation table, and tool references (tools/twstock_data.py, financial_rigor.py) are one level deep and clearly signaled; minor gaps as everything lives in a single ~168-line file. | 4 / 5 |
Total | 17 / 20 Passed |