Content
65%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with executable examples for all seven modes and good structural organization. Its gaps are missing post-action validation for destructive/batch operations and a monolithic single-file layout with no progressive disclosure.
Suggestions
Add explicit validation/verification checkpoints after destructive and batch operations (overwrite, replace_all, delete_range), e.g. re-read the located range or confirm replace_count before proceeding.
Split the return-value and per-mode API reference into a reference bundle file, leaving SKILL.md as a concise overview pointing to it.
Trim the 最佳 practices section to avoid re-explaining points already covered in the mode examples.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean — executable JSON examples and concrete rules with no concept padding — but the 最佳实践 section re-explains guidance already implied earlier, so it could be tightened. | 2 / 3 |
Actionability | Every mode ships with complete, copy-paste-ready JSON examples plus parameter specs, return-value shapes, and error formats, matching 'fully executable; copy-paste ready'. | 3 / 3 |
Workflow Clarity | Modes are well-sequenced and a whiteboard-repair feedback loop exists, but destructive/batch operations (overwrite, replace_all, delete_range) lack explicit post-action verification checkpoints, capping workflow clarity at 2. | 2 / 3 |
Progressive Disclosure | No bundle files exist and all content is inline in one ~280-line file; sections are well-organized but return-value/API reference content that could live in a separate file is not split out. | 2 / 3 |
Total | 9 / 12 Passed |