Content
78%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 concise, actionable interview playbook with a clear step sequence, and it organizes content into well-labeled sections. Its main weakness is a dangling reference to a bundle file that does not exist, which undermines the progressive-disclosure structure.
Suggestions
Add the missing references/algorithm-data-structures.md bundle file so the categorized reference mapping actually resolves.
Include one or two concrete example interview exchanges or sample questions to move actionability from mostly-executable to copy-paste ready.
Add a brief checkpoint between steps (e.g., confirm the candidate's baseline answer is correct before escalating to edge cases) to make the workflow transitions explicit.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and efficient with no padding or explanation of concepts Claude already knows; every line is actionable instruction and every token earns its place. | 5 / 5 |
Actionability | Each instruction gives concrete, specific guidance with examples ("剪枝、单调结构、预处理、空间换时间"; "不变式/归纳/反证任一即可"), but it lacks full example questions or interview-exchange templates that would make it copy-paste ready. | 4 / 5 |
Workflow Clarity | The five numbered instructions form a clear, well-sequenced interview flow (articulate → diversify → probe edges → push optimization → require proof), with only minor implicitness in the transitions between steps. | 4 / 5 |
Progressive Disclosure | Sections (Overview/Instructions/Additional Resources) and a clearly signaled one-level reference mapping exist, but the referenced file algorithm-data-structures.md is not present in the bundle, breaking navigation. | 3 / 5 |
Total | 16 / 20 Passed |