Content
73%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.
A well-sequenced, actionable retrieval workflow with genuine validation checkpoints and feedback loops, supported by clearly signaled one-level-deep references. The main costs are token redundancy from repeating the read-references-first mandate across six sections, and an orphaned scripts/convert_pdf_to_images.py that the overview never points to.
Suggestions
State the 'must read references before handling PDF/Excel' mandate once (e.g. in the 关键原则 checklist) and delete the repeats in 禁止行为, 总体流程 step 3, the PDF/Excel workflow headers, and 与其他工具的协同, cutting the repeated "注意这个目录位于 Skills 目录下" caveat with them.
Merge or remove the 与其他工具的协同 section, since its PDF/Excel and tool-usage content restates what the per-file-type strategies already specify.
Add a pointer to scripts/convert_pdf_to_images.py (e.g. in the PDF strategy section) so every bundle file is reachable from the SKILL.md overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is procedural and does not explain concepts Claude already knows, but it is noticeably redundant: the mandate to read references before handling PDF/Excel appears ~6 times (checklist, 禁止行为, step 3, PDF workflow, Excel workflow, 与其他工具的协同), the caveat "注意这个目录位于 Skills 目录下" repeats 4 times, and the 与其他工具的协同 section largely restates the per-file-type workflows. Not 2: there is no pedagogical padding and every section is on-task; not 4: the duplication goes beyond minor trimming and could be cut substantially. | 3 / 5 |
Actionability | Concrete, executable commands and parameters appear throughout: `test -d knowledge`, `pdftotext input.pdf output.txt` (with an explicit reason not to use stdout), Glob patterns like `pattern="**/data_structure.md"`, `path="knowledge"`, Read with `limit=300`, pandas `nrows` 10-50, and `df[df['column'] == value]`, with implementation detail correctly deferred to the reference files. Not 5: a few instructions remain directional rather than executable (e.g. "提取命中附近范围的上下文(上下数十行或相邻几页)" gives no concrete command); not 3: the given commands are real and specific, not pseudocode. | 4 / 5 |
Workflow Clarity | The 6-step 总体流程 is clearly sequenced with explicit checkpoints: directory existence must be validated via `test -d` before any Glob, the mandatory pre-PDF/Excel checklist gates processing, and the 多轮迭代检索机制 defines a feedback loop with a 5-attempt cap, per-round keyword regeneration, termination conditions, and insufficient-information handling including asking the user when the root directory is missing. Not 4: validation steps, recovery loops, and a checklist are all explicitly present, matching the anchor-5 example. | 5 / 5 |
Progressive Disclosure | The three reference files (pdf_reading.md, excel_reading.md, excel_analysis.md) are real, one level deep, and clearly signaled via markdown links plus explicit 'read before processing' triggers. Not 5: scripts/convert_pdf_to_images.py is referenced nowhere in SKILL.md or the references, leaving an orphaned bundle file undiscoverable from the overview; not 3: structure, placement, and signaling are otherwise good with no inline content that belongs in a separate file. | 4 / 5 |
Total | 16 / 20 Passed |