Content
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill is a well-structured API reference with mostly executable curl examples, but it suffers from two malformed example payloads, redundant parameter prose, and an implicit async workflow. Splitting the endpoint reference into a separate file and fixing the broken JSON would improve it.
Suggestions
Fix the malformed JSON in the SmartScraper and SmartCrawler curl examples so the body parameters are inside the request body object.
Add an explicit async workflow (start request → poll Get Status with suggested interval → retrieve results) instead of leaving the sequence implicit.
Deduplicate the repeated mock/stealth parameter explanations and move the full per-endpoint parameter reference into a separate REFERENCE.md to reduce inline bulk.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly actionable API reference, but repeats identical explanations (mock mode, stealth, +4 credits) across endpoints and includes padding like "Useful when you already have HTML content cached", so it could be tightened. | 2 / 3 |
Actionability | Most curl examples are concrete and executable, but the SmartScraper (lines 60-66) and SmartCrawler (lines 120-127) examples have malformed/incomplete JSON with parameters outside the request body, a real defect. | 2 / 3 |
Workflow Clarity | The async start-then-poll-status pattern is implied by paired "Start X" and "Get X Status" sections, but there is no explicit sequence, polling guidance, or validation checkpoints for the request_id workflow. | 2 / 3 |
Progressive Disclosure | Content is organized into Setup/Capabilities/Usage/Use Cases sections, but ~230 lines of per-endpoint parameter reference live inline in SKILL.md with no separate reference files; the only "Discover More" entry is an API call, not a navigable file. | 2 / 3 |
Total | 8 / 12 Passed |