Content
76%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.
The body is highly actionable with copy-paste commands, parameter tables, examples, and a JSON output schema, and it is reasonably concise and well-structured with real bundle files. Its main gap is the absence of validation/error-recovery feedback loops in the agent workflow.
Suggestions
Add an explicit validation/error-handling step to the agent workflow (e.g., check `success` in the JSON, retry with `--engine web` or different keywords on empty results) to support a feedback loop.
Move the full env/config block and the JSON output schema into a short reference file linked from SKILL.md to tighten progressive disclosure.
Trim the explanatory asides under 热门推荐 and 引擎说明 since the examples already convey the behavior.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient with command tables, short option explanations, and minimal padding, though a few explanatory asides (e.g., '本质上是以推荐类关键词调用搜索', engine blurbs) could be trimmed; not a 5 because a couple of tokens restate what examples already show. | 4 / 5 |
Actionability | Every command is given as copy-paste-ready bash/powershell with concrete arguments, a parameter table with defaults, five worked examples, a sample JSON output schema, and field definitions; matches 'fully executable; copy-paste ready; specific examples cover the common cases'. | 5 / 5 |
Workflow Clarity | The 'Agent 使用流程' lists a clear 5-step sequence, but it is a read-only search/resolve operation with no validation checkpoints and no error-recovery loop; per the rubric's batch/feedback-loop notes a skill lacking validation feedback loops caps here, so not a 4. | 3 / 5 |
Progressive Disclosure | Structure is well-organized with clear section headers and real bundle files (music-search.sh/.ps1/.js, shared/deep-extract.js) referenced by path; the JS implementation lives in separate scripts rather than inlined, which is good. Not a 5 because SKILL.md still inlines the full config/env and output schema inline and references are by path string rather than clickable one-level links. | 4 / 5 |
Total | 16 / 20 Passed |