Content
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a thorough, well-organized API reference with per-endpoint curl examples, but it is a monolithic inline dump with redundant sections, malformed examples, and no explicit workflow sequencing or validation for crawl/batch operations.
Suggestions
Add explicit workflow sequencing for crawl and batch flows (Start -> poll Crawl/Batch Info -> list Pages/Items -> Retrieve Content) with validation checkpoints, since batch operations cap workflow clarity at 2 without feedback loops.
Fix the broken JSON in the Start Crawl and Start Batch curl examples and add the missing -d bodies to the read endpoints so every example is copy-paste executable.
Move the full per-endpoint parameter reference into a separate REFERENCE.md and keep SKILL.md a lean overview to reduce the monolith and improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient parameter/curl reference, but the Capabilities list duplicates the Usage section headers and the marketing line "Powerful web scraping, crawling, and AI-powered content extraction." is unnecessary padding. | 2 / 3 |
Actionability | Concrete curl examples are provided for every endpoint, but the Start Crawl and Start Batch examples have broken JSON bodies and several read endpoints omit the -d body entirely, so they are not fully copy-paste executable. | 2 / 3 |
Workflow Clarity | Endpoints are documented individually but the crawl/batch flows (start -> poll status -> retrieve) are not explicitly sequenced, and batch operations lack validation/feedback checkpoints, capping this at 2. | 2 / 3 |
Progressive Disclosure | The ~240-line body is well sectioned but is a monolithic inline API reference that could live in a separate file; no bundle reference files exist, matching the "content that should be separate is inline" anchor. | 2 / 3 |
Total | 8 / 12 Passed |