Content
77%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 well-sequenced, validated workflows, but it is somewhat verbose due to restating the same three workflows in both a diagram and example section, and it keeps everything inline rather than splitting detail into reference files.
Suggestions
Remove the '典型用法示例' (场景 A/B/C) section or fold it into the workflow diagram, since it restates 流程 1a/1b/1c already shown in '两条独立工作流'.
Move the detailed per-field JSON output tables and the error-handling table into a references/ file (e.g. OUTPUT.md) and link to it one level deep, leaving SKILL.md as a lean overview.
Reference the bundled scripts/wx_mp_hunter.py by path so the script bundle is discoverable from the body.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and free of padded concepts Claude already knows, but the three workflows are restated twice — once in the '两条独立工作流' ASCII diagram and again in the '典型用法示例' (场景 A/B/C) section — which could be tightened. | 3 / 5 |
Actionability | Provides exact CLI signatures, option tables with defaults, full JSON output examples, and per-field descriptions that are copy-paste ready and cover the common cases. | 5 / 5 |
Workflow Clarity | Multi-step flows are explicitly sequenced with validation checkpoints and feedback loops — '批量前必须小样本验证', '连续失败 3 篇以上时停止批量', and the 6-step homepage procedure — so batch operations are not run without validation. | 5 / 5 |
Progressive Disclosure | The skill is a single monolithic file with all detail (JSON schemas, error tables, option references) inlined; the lone scripts/wx_mp_hunter.py is never referenced by path, so there is no one-level-deep split to navigate. | 3 / 5 |
Total | 16 / 20 Passed |