Content
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is cleanly organized into a clear 4-step workflow with concrete output structure and error fallbacks, but it stays at a high level: the actionable extraction prompt is locked in an orphaned reference file, validation is implicit, and some meta sections add non-essential tokens.
Suggestions
Link the prompt template explicitly from the workflow (e.g., '详细抽取 prompt 见 [prompt_templates.md](references/prompt_templates.md)') so the actionable guidance is reachable instead of orphaned.
Add an explicit validation checkpoint in the workflow (e.g., '输出前核对：主题含研究对象+问题/方法、关键词为标准检索术语、核心问题具体可检索') before the 格式化 step.
Trim or relocate the BenszAPI workspace and bensz-collect-bugs collaboration sections so the body focuses on the extraction task, improving token efficiency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The core workflow is terse and assumes Claude's competence, but the BenszAPI 任务工作区 and 与 bensz-collect-bugs 的协作约定 meta-conventions are not directly about the extraction task, so not every token earns its place. | 2 / 3 |
Actionability | Gives a concrete output schema (主题/关键词/核心问题) and specific counts (5-10 关键词, 2-5 核心问题), but the actual extraction methodology is vague ("用一句话概括主题") and the real executable prompt lives in the unreferenced references/prompt_templates.md. | 2 / 3 |
Workflow Clarity | The 4-step sequence (识别输入类型 → 提取内容 → 语义提取 → 格式化) is clearly ordered, but validation checkpoints are only implicit — the 质量要求 criteria and 错误处理 fallbacks are not wired into the workflow as an explicit validate-then-proceed step. | 2 / 3 |
Progressive Disclosure | The body is well-sectioned (not a monolithic wall), but the provided references/prompt_templates.md is never linked or signaled from the body, and the prompt content that belongs in that file is partially duplicated inline. | 2 / 3 |
Total | 8 / 12 Passed |