Content
86%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 tightly written, highly actionable skill body with executable commands, a clear agent workflow, and well-structured one-level-deep bundle references. The main improvement area is adding explicit error-recovery/feedback steps to the workflow.
Suggestions
Add a short validate/retry step to 'Agent 使用流程' for failure cases (e.g., empty results → retry with broader keywords or --engine web; fetch errors → fall back to web engine).
Trim the engine-explanation prose and the disclaimer slightly to recover tokens without losing meaning.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and task-focused with tight tables and scoped examples, assuming Claude's competence rather than explaining网盘/web-search concepts; only minor padding (engine prose, disclaimer) could be trimmed, fitting the 'efficient, minor over-explanation' anchor. | 4 / 5 |
Actionability | Copy-paste-ready bash and PowerShell commands, a full options table, concrete per-variant examples, and a complete JSON output schema with field meanings make the guidance fully executable and cover the common cases. | 5 / 5 |
Workflow Clarity | The 'Agent 使用流程' provides a clear 5-step sequence with a conditional resolve branch and an example dialogue, but there is no explicit validate→fix→retry feedback loop for failure modes like empty results or failed page fetches, leaving minor validation gaps. | 4 / 5 |
Progressive Disclosure | SKILL.md is a clear overview with well-organized sections, references real one-level-deep scripts (film-search.sh/.ps1) while keeping the bulk extraction logic in film-search.js and shared/deep-extract.js, and externalizes config to .env — easy to navigate. | 5 / 5 |
Total | 18 / 20 Passed |