BB scraperapi-mcp
Knowledge base for the 22 ScraperAPI MCP tools. Covers scrape, Google (search, news, jobs, shopping, maps), Amazon (product, search, offers), Walmart (search, product, category, reviews), eBay (search, product), Redfin (for_sale, for_rent, search, agent), and crawler tools. Provides tool selection, parameter optimization, credit cost guidance, and error recovery. Requires the ScraperAPI MCP server (remote or local variant) and a valid SCRAPERAPI_API_KEY from https://www.scraperapi.com/dashboard. See references/setup.md for installation. Trigger on: web scraping, scraping a URL, reading a webpage behind bot protection, Google search queries, finding information online, current events and news lookup, job listings, product price comparison, shopping research, Amazon/Walmart/eBay product lookup or search, e-commerce data extraction, Redfin real estate listings, property search, rental search, agent lookup, site crawling, crawl a website, SERP monitoring, SEO tracking, competitive intelligence, market research, or when unsure which ScraperAPI tool to use.
As a process B 66/100 · Nearly there — weak spots: result and completion, inputs and preconditions, progress reporting
How to improve
- Shorten the description to 1024 characters.
- 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: 11. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
description-longdescription is 1068 chars, limit 1024
Process rating: all ten parameters 66/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 30Inputs and preconditions. Does not say what the process needs to start
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 34 steps
- 100Failures and branches. 3 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2206 tokens
- 100Running it twice. No mutating operations
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 1067: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Structure: 11 headings
- +3Step-by-step instructions: 34 items
- +4Reference files are cited in the instructions (8 of 8)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.