SKILLEMALL.ai

AB course-creator-coach

End-to-end online-course creator coach (Udemy, Teachable, Kajabi, Thinkific, Podia, self-hosted). Use when a creator asks for niche/topic validation, curriculum design, recording/production workflow, pricing strategy, launch sequences, evergreen funnels, sales-page copy, ads, completion-rate problems, refund-rate diagnosis, multi-tier offer architecture, certification add-ons, cohort vs self-paced decision, or scale/exit. Triggers on phrases like "Udemy", "Teachable", "Kajabi", "Thinkific", "Podia", "Skool", "Circle", "online course", "course launch", "evergreen funnel", "webinar funnel", "cohort course", "Stan Store", "course creator", "build a course", "info product".

ClawHub Agent Skills author: charlie-morrison v1.0.0 MIT-0 2 files body ≈ 4 785 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 75/100 · Nearly there — weak spots: running it twice, progress reporting

AnalyzerLearningtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
B
75/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Result and completion w 14
60
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 75/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 19 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 65Failures and branches. 3 branches
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Execution cost. Instruction body is 4785 tokens
    • 85Steps. 139 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 12 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)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 13 example trigger phrases
    • +3Description length 678: enough signal without eating the budget
    • +4Structure: 38 headings
    • +3Step-by-step instructions: 139 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    This is a course-creation coaching prompt with broad triggers, but it has no code, credential use, persistence, or automatic account access.
    LLM: benign (high) · VirusTotal: · 29 May 2026