Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is concise, highly actionable, and well-structured with verified script references and concrete examples. Its weakness is workflow clarity: the end-to-end flow is implied across sections and lacks an explicit output-validation checkpoint.
Suggestions
Add a short unified workflow section (configure credentials → install deps → obtain cookie → run script → verify `success: true` in output JSON) with an explicit validation checkpoint.
Create the referenced `requirements.txt` and `.env.example` files, which are cited in the body but not present in the bundle.
Consolidate the 小红书/微博 browser-use fallback note, currently repeated across several sections, into one place to reduce redundancy.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean: compact tables, concrete commands, and no padding with general concepts Claude already knows; it avoids explaining what APIs or cookies are. | 3 / 3 |
Actionability | Provides copy-paste-ready commands (e.g. `python3 scripts/bilibili_search.py "机器学习教程" --limit 5`), per-script parameter tables with defaults, dependency install steps, and the exact output JSON schema. | 3 / 3 |
Workflow Clarity | Individual steps exist (credential setup, dependency install, cookie acquisition, script invocation) and there is fallback guidance on failure, but they are distributed across sections rather than unified into one explicit end-to-end sequence with a verification checkpoint. | 2 / 3 |
Progressive Disclosure | Well-organized into clear sections with one-level-deep, well-signaled references to real bundle scripts (bilibili_search.py, zhihu_search.py, douyin_search.py) verified to exist. | 3 / 3 |
Total | 11 / 12 Passed |