SKILLEMALL.ai

AB affiliate-marketing

When the user wants to plan, implement, or optimize affiliate marketing strategy. Also use when the user mentions "affiliate marketing," "affiliate program strategy," "CPS model," "affiliate recruitment," "commission structure," "affiliate partners," "affiliate network," "affiliate tracking," "affiliate commission," or "partner marketing."

ClawHub Agent Skills author: Kostja Zhang v1.0.0 MIT-0 2 files body ≈ 1 415 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 66/100 · Nearly there — weak spots: inputs and preconditions, consistency, running it twice

ReferenceInfrastructurePeople and hiringtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
B
66/100
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
    • 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 66/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 4 mutating operations with no state check
    • 40Consistency. Frontmatter name (affiliate-marketing) differs from the folder (affiliate-marketing-channels)
    • 55Failures and branches. 1 branches
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 37 steps
    • 100Execution cost. Instruction body is 1415 tokens
    • low 11 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)
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 10 example trigger phrases
    • +3Description length 341: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 37 items
    • +3Output format is stated explicitly

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This is an instruction-only affiliate marketing guidance skill with no code execution, hidden behavior, or credential handling.
    LLM: benign (high) · VirusTotal: · 29 May 2026