SKILLEMALL.ai

AC alibabacloud-website-probe

Multi-region website availability probing and nationwide multi-ISP network testing over a public probing platform (HTTP / Ping / DNS / MTR / traceroute), with an optional mobile 4G/5G perspective. Use when a site or API is unreachable from some regions or carriers, loads slowly, shows high latency or packet loss, returns HTTP 4xx/5xx unevenly across regions, resolves differently by region (DNS hijacking / pollution), misbehaves on mobile networks, or when CDN 5xx failures need regional isolation. Triggers: "multi-region website availability probing", "nationwide multi-ISP HTTP/Ping/DNS/MTR/traceroute testing", "website unreachable from some regions or carriers", "slow page load / high latency / packet loss", "HTTP 4xx/5xx regional isolation", "DNS resolution differs by region / DNS hijack pollution", "mobile 4G/5G access issue", "CDN 5xx regional isolation".

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.1 MIT-0 10 files body ≈ 3 506 tokens Open the sourceclawhub.ai analyzed 3 d ago

Multi-region website availability probing and nationwide multi-ISP network testing over a public probing platform (HTTP / Ping / DNS / MTR / traceroute), with…

As a process C 59/100 · Has gaps — weak spots: result and completion, when it triggers, progress reporting

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
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: 10. 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 59/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 20 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3506 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
    • low 14 top-level sections: this looks like several domains in one skill

    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)
    • +3Description length 870: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 8 example trigger phrases
    • +4Structure: 21 headings
    • +3Step-by-step instructions: 20 items
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 4 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: suspicious
    The skill mostly does what it claims, but it sends probe targets to a public third-party service and under-discloses session caching and dependency risks.
    LLM: suspicious (high) · 21 Aug 2026