Content
70%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A clearly sequenced, well-organized skill body with strong workflow checkpoints and proper one-level-deep reference structure. Its weaknesses are repetition of the PDF/Excel 'read references first' guidance across multiple sections and slightly deferred/incomplete inline code examples that lean on the referenced files.
Suggestions
Consolidate the repeated 'must read pdf_reading.md / excel_reading.md before processing' guidance into one authoritative section and cross-reference it, rather than restating it in the checklist, 总体流程, per-type strategies, and 与其他工具的协同 sections.
Add a few complete inline executable snippets in SKILL.md (e.g. a minimal pdfplumber table-extraction block and a pandas nrows+filter block) so the core actions are copy-paste ready without always deferring to references.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and well-structured, but repeats the same PDF/Excel 'must read references' instructions across the checklist, the 总体流程, per-type strategies, and the 与其他工具的协同 section, adding redundant tokens Claude already grasps after the first statement. | 2 / 3 |
Actionability | Gives some concrete guidance (e.g. `pdftotext input.pdf output.txt`, `df[df['column'] == value]`, `pattern="**/data_structure.md"`, `test -d knowledge`) but leaves key steps as instructions to defer to references rather than inline executable examples, and lacks complete copy-paste blocks in SKILL.md itself. | 2 / 3 |
Workflow Clarity | Clear sequenced flow (理解需求 → 分层索引 → 学习方法 → 处理检索 → 迭代 → 答案溯源) with an explicit checklist with checkmarks, a max-5 iteration counter, and error/uncertainty handling checkpoints — explicit validation/feedback loops are present. | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview that consistently and clearly signals one-level-deep references (references/pdf_reading.md, excel_reading.md, excel_analysis.md) plus a script (scripts/convert_pdf_to_images.py); all referenced paths are real bundle files, content is appropriately split, and navigation is easy. | 3 / 3 |
Total | 10 / 12 Passed |