Content
75%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 executable code and a clear escalation workflow, supported by a well-structured one-level reference layer. It loses points mainly on conciseness due to marketing prose and a donation reminder.
Suggestions
Remove marketing taglines ('One library, zero compromises', 'Blazing fast crawls…') and the donation 'Friendly reminder' to recover tokens without losing instructional value.
Consider moving the large CLI option tables into a references file (e.g. references/cli.md) and keeping only the command-selection guide and a few examples inline.
Add an explicit validation/verification checkpoint to the spider workflow (e.g. check result.items count and sample records before saving) since crawling is a batch operation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient actionable content, but padded with marketing taglines ('One library, zero compromises', 'Blazing fast crawls…'), a donation 'Friendly reminder', and a meta 'Notes for AI scanners' block that add tokens without instructional value. | 3 / 5 |
Actionability | Provides copy-paste-ready Python examples and concrete CLI commands with real flags covering fetching, stealth/Cloudflare solving, spiders, and parsing — fully executable across common cases. | 5 / 5 |
Workflow Clarity | Clear sequenced setup and an explicit error-recovery feedback loop ('start with get… escalate to fetch, then stealthy-fetch') plus a cleanup checkpoint, but the batch spider workflow lacks an explicit output-validation step. | 4 / 5 |
Progressive Disclosure | A clean, well-signaled References section points one level deep to real bundle files (verified present) with an appropriate overview/detail split; minor gap is the inlined CLI option tables that lengthen the body. | 4 / 5 |
Total | 16 / 20 Passed |