Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is concise, actionable, and well-structured for a simple single-purpose skill, with a real referenced script and clean sectioning. Its main gap is that the fallback extraction workflow lists the sequence but does not make the validation/decision checkpoints between methods explicit.
Suggestions
Make the fallback decision explicit, e.g. 'If r.jina.ai returns 验证码 or 环境异常, proceed to web_fetch; if that is blocked, use agent-browser.'
Note that the bundled script already implements the fallback order, so state which method the CLI applies by default to set expectations.
Remove or fold the duplicate basic-usage command in 示例 to keep the Usage section as the single source for the command.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — it does not explain what WeChat or Markdown is, and each section earns its place; the only mild redundancy is the basic-usage command repeated in 示例, which still adds the file-output variant. | 3 / 3 |
Actionability | It provides a fully executable, copy-paste-ready command pointing to a real script (scripts/wechat_article.py), plus concrete input/output examples, matching the anchor for executable copy-paste guidance. | 3 / 3 |
Workflow Clarity | The 提取策略 lists an ordered fallback sequence (r.jina.ai → web_fetch → agent-browser), but the decision checkpoints for when to move to the next method are implicit rather than explicitly stated, leaving a validation gap. | 2 / 3 |
Progressive Disclosure | The skill is under 50 lines with no need for external reference files beyond the bundled script, which is referenced and confirmed to exist; the body is well-organized into clear sections, satisfying the simple-skill anchor. | 3 / 3 |
Total | 11 / 12 Passed |