Content
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is lean, executable, and well-sequenced with strong validation feedback loops. Its main weakness is progressive disclosure: a single dense inline doc rather than an overview pointing to one-level-deep reference files.
Suggestions
Move the detailed 二阶段识别参数 and 三阶段参数 flag tables into a separate reference file (e.g. PARAMETERS.md), keeping only the most common flags inline in SKILL.md.
Extract the full 输出规则 artifact-level detail into a reference doc, summarizing just the default output path and the minimal/standard/debug distinction in the body.
Add a brief '## Advanced' section that signals the reference files with one-level-deep links (e.g. 'See PARAMETERS.md for all flags') to make navigation explicit.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and procedural with no padding about what PDF/Markdown is or how libraries work; every line earns its place and assumes Claude's competence. | 3 / 3 |
Actionability | Provides fully executable copy-paste commands (python3 law-to-markdown/scripts/law_to_markdown.py "input.txt", --allow-fallback) with concrete parameter examples. | 3 / 3 |
Workflow Clarity | A clear 3-stage sequence with explicit validation checkpoints (Stage3-A/3-B hard gates), feedback loops ('任一失败触发自动重走，最多 2 次'), and rejection handling. | 3 / 3 |
Progressive Disclosure | Well-sectioned and the referenced scripts are real, but the SKILL.md is a single monolithic inline document exceeding 50 lines that bundles parameter lists, output rules, and commands rather than splitting detailed material to reference files. | 2 / 3 |
Total | 11 / 12 Passed |