AF web-extract
Extract structured JSON from web pages, search engines, and entire sites in ONE call — {title, summary, sections, key_metrics, outgoing_links, author, date, page_type, ...} fields, no second LLM pass to parse HTML. Six endpoints: scrape (single URL), scrape-interactive (JS-rendered pages with click/scroll/type), search (Google SERP + deep-scrape), map (URL discovery), crawl + crawl-status (async recursive crawl). Markdown/raw HTML on request. USE when the user needs page DATA — product pricing/specs, article fields, link graphs, JS-heavy SPAs, Google results with content. Prefer over browser-act (automation/screenshots) and WebFetch (static, no JS, no structured fields). Not for citation-rich research (use deep-research). Trigger (EN): scrape this URL, extract data from page, crawl this site, deep-scrape search results, map a domain's URLs, render this JS page. 触发词：抓取/爬取/网页提取/结构化抽取/搜索带内容/全站爬取/JS 渲染抓取/点击后抓取. Requires ZOODATA_API_KEY (free key: https://zoodata.ai/en/api-keys).
Extract structured JSON from web pages, search engines, and entire sites in ONE call — {title, summary, sections, keymetrics, outgoinglinks, author, date…
As a process F 47/100 · Will not run — References files that are not bundled: ../zoodata/SKILL.md, ../amazon-market-entry-analyzer/SKILL.md
How to improve
- The text references files that are not there: add them or drop the references.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: ../zoodata/SKILL.md - warning
missing-refreference to a missing file: ../amazon-market-entry-analyzer/SKILL.md
Process rating: all ten parameters 47/100
- 0Tools and files. 2 referenced file(s) missing: ../zoodata/SKILL.md, ../amazon-market-entry-analyzer/SKILL.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 1 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 85Steps. 32 steps, 1 vague phrases
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3504 tokens
- 100Progress reporting. Reports progress
- low 15 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (3 tags): a typed call is more reliable
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +3Description length 989: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +4Structure: 16 headings
- +3Step-by-step instructions: 32 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.