SKILLEMALL.ai

AB web-scraper-skill

Use this skill to scrape, crawl, or extract data from websites using Apify or Firecrawl APIs. Trigger whenever the user wants to: scrape a URL, crawl a website, extract structured data from web pages, run an Apify Actor, batch scrape multiple URLs, search and scrape the web, map a site's URLs, collect product/price/review data, or build any web data pipeline. If the user says things like "scrape this site", "get data from this URL", "crawl this website", "run an Apify actor", "use Firecrawl", "extract content from a page", "pull data from the web", or mentions any web data extraction task — always use this skill. Also use it when the user wants to choose between Apify and Firecrawl.

ClawHub Agent Skills author: Abhishek Jaiswal v1.0.0 MIT-0 3 files body ≈ 1 675 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 68/100 · Nearly there — weak spots: inputs and preconditions, running it twice

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
96
Run on models
none yet
Process rating
B
68/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
Failures and branches w 10
50
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 68/100

    • 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
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 28 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1675 tokens
    • 100Progress reporting. Reports progress

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +3Description length 691: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 28 items
    • +3Output format is stated explicitly
    • +4Has examples (14 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.

    External checks

    ClawHub: suspicious
    This is a coherent web-scraping helper, but it gives agents broad automatic scraping guidance and does not clearly warn users about third-party data transfer and authorization risks.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026