Content
73%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 skill body is highly actionable and well-structured with executable examples throughout, but it lacks explicit validation feedback loops for batch/destructive operations and keeps all API detail inline rather than progressively disclosing it to reference files.
Suggestions
Add a validate/verify step for spider and stealth crawling workflows (e.g. check result.items length, verify Cloudflare was solved, retry on failure) to raise workflow clarity above the batch-operations cap.
Move the deeper API reference (full selector method list, spider options, fetcher parameters) into a one-level-deep REFERENCE.md and link to it from the body to improve progressive disclosure.
Trim the lead paragraph and explanatory asides (e.g. 'Blocks fonts, images, media, stylesheets (~25% faster)') to tighten conciseness.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely efficient with executable snippets and minimal padding, though introductory framing like 'is a web scraping framework with...' and a few explanatory asides could be trimmed. | 4 / 5 |
Actionability | Provides fully executable, copy-paste-ready CLI commands and Python examples across all fetcher types, sessions, selectors, and the spider framework, covering the common cases. | 5 / 5 |
Workflow Clarity | Examples are organized by task but there is no end-to-end sequenced workflow with validation checkpoints; for batch operations like spider crawling there is no explicit validate/verify feedback loop, capping this dimension at 3 per the rubric. | 3 / 5 |
Progressive Disclosure | Content is well-organized into clear sections (When to Use, CLI, Python by fetcher type, Spider, Pitfalls) with a quick-reference table, but the API surface is entirely inlined rather than split into one-level-deep reference files. | 4 / 5 |
Total | 16 / 20 Passed |