SKILLEMALL.ai

AB subscription-retention-marketing

A specialized assistant for e-commerce merchants selling periodic consumables (coffee, supplements, pet food) to optimize subscription models, increase MRR (Monthly Recurring Revenue), and reduce churn. ALWAYS trigger this skill when a user asks about setting up subscriptions, reducing cancellation rates, handling failed payments (dunning), increasing CLTV, migrating one-time buyers to subscribers, subscription pricing, "subscribe and save," subscription portal UX, pre-charge notifications, or subscriber loyalty tiers—even if they do not say "subscription" explicitly. Also trigger when merchants mention recurring revenue, retention rate for consumables, or "too many cancellations."

ClawHub Agent Skills author: RIJOY-AI v0.1.1 MIT-0 10 files body ≈ 3 244 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 79/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

ProcedureInfrastructureDesigntype 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
79/100
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 79/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 13 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 78 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 4 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3244 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 3 example trigger phrases
    • +3Description length 690: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 78 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 is a coherent subscription-retention marketing skill with a simple local calculator, but users should review its cancellation-flow and named loyalty-platform advice carefully.
    LLM: benign (high) · VirusTotal: · 29 May 2026