SKILLEMALL.ai

AB viral-trend-catcher

Helps merchants spot viral hits on social (e.g. TikTok fidget toys, visual jewelry) and gives fast selection and testing advice. Trigger when users ask "what's trending on TikTok lately," "can this product go viral," "how to quickly follow a social trend," "is this product going viral," "TikTok trending product," "should I stock this," "impulse buy product," "social media product opportunity," or mention strong visual impact, impulse buy, social sharing, trend catching, or rapid sourcing—and use this skill. Even if they just say "how do I promote my product on social," consider whether trend-catching applies.

ClawHub Agent Skills author: RIJOY-AI v0.1.2 MIT-0 10 files body ≈ 2 260 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 65/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

ProcedureMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
99
Run on models
none yet
Process rating
B
65/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 8. 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 65/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 8 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Failures and branches. 7 branches
    • 100Steps. 46 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2260 tokens
    • medium 3 test cases, all positive: not one "should refuse" or "should ask first"

    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 9 example trigger phrases
    • +3Description length 616: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 46 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (2 of 3)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 99.

    External checks

    ClawHub: clean
    This skill is a social-commerce trend advice tool with broad activation wording, but it does not show hidden execution, credential use, data access, persistence, or unsafe automation.
    LLM: benign (high) · VirusTotal: · 29 May 2026