SKILLEMALL.ai

AB naming-and-domains

Name a business, product, or service and secure a matching domain. Use when brainstorming names, evaluating name quality, checking domain availability, choosing between name candidates, or planning a domain strategy. Covers naming frameworks, name-quality criteria, trademark basics, domain extensions, and the full name-to-domain pipeline. Trigger on "help me name my business", "name ideas", "find a domain", "business name", "product name", "domain name", "what should I call it", "naming strategy", "check domain availability".

ClawHub Agent Skills author: Jatin Khatri v0.1.0 2 files body ≈ 1 876 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process B 70/100 · Nearly there — weak spots: result and completion, inputs and preconditions, progress reporting

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
B
70/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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: 2. 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 70/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 65Failures and branches. 3 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 45 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 1876 tokens
    • 100Running it twice. Mutating operations check current state

    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)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 9 example trigger phrases
    • +3Description length 531: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 45 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    This is an instruction-only naming and domain checklist with no code, hidden access, credential use, or automatic actions.
    LLM: benign (high) · VirusTotal: benign · 27 May 2026