SKILLEMALL.ai

AB customer-journey-map

Use this skill whenever you want to visualize customer journeys, employee experiences, or service blueprints with stages, touchpoints, behaviors, emotions, pain points, and opportunities. Perfect for e-commerce promotions, B2B sales funnels, or any multi-stage experience mapping. Generates clean SVG/PNG/PDF exports with stage-based rows layout, consulting-style.

ClawHub Agent Skills author: Jacky Shen v1.0.0 MIT-0 2 files body ≈ 1 219 tokens Open the sourceclawhub.ai analyzed 2 d ago

Use this skill whenever you want to visualize customer journeys, employee experiences, or service blueprints with stages, touchpoints, behaviors, emotions…

As a process B 69/100 · Nearly there — weak spots: consistency, progress reporting

ProcedurePlaywrightDesignInfrastructureMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
B
69/100
Nearly there
Progress reporting w 2
0
Consistency w 8
40
Failures and branches w 10
50
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 69/100

    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (customer-journey-map) differs from the folder (jackyshen-customer-jounery-map)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (node) 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
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 24 steps
    • 100Execution cost. Instruction body is 1219 tokens
    • 100Running it twice. No mutating operations
    • 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +3Description length 364: enough signal without eating the budget
    • +4Structure: 22 headings
    • +3Step-by-step instructions: 24 items
    • +3Output format is stated explicitly
    • +4Has examples (8 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This is a straightforward journey-map rendering skill that may create local export files, with no evidence of hidden access, persistence, exfiltration, or destructive behavior.
    LLM: benign (high) · VirusTotal: · 10 Jul 2026